#digital batch coding machine

[firespirited]

Long post. Press j to skip.

I AM SICK OF THE STUPID AI DEBATES, does it imagine, is it based on copyrightable material, are my patterns in there?

That's not the point.

I briefly got into website design freelancing (less than 3 months) before burn out.

The main reason was that automation had begun for generating stylesheets in somewhat tasteful palettes, for automatically making html/xml (they really haven't learned to simplify and tidy code though, they just load 50 divs instead of one), for batch colourising design elements to match and savvy designers weren't building graphics from scratch and to spec unless it was their day job.

Custom php and database design died with the free bundled CMS packages that come with your host with massive mostly empty unused values.

No-one has talked about the previous waves of people automated out of work by website design generators, code generators, the fiverr atomisation of what would have been a designers job into 1 logo and a swatch inserted into a CMS by an unpaid intern. Reviews, tutorials, explanations and articles are generated by stealing youtube video captions, scraping fan sites and putting them on a webpage. Digitally processing images got automated with scripts stolen from fan creators who shared. Screencaps went from curated processed images made by a person to machine produced once half a second and uploaded indiscriminately. Media recaps get run into google translate and back which is why they often read as a little odd when you look up the first results.

This was people's work, some of it done out of love, some done for pay. It's all automated and any paid work is immediately copied/co-opted for 20 different half baked articles on sites with more traffic now. Another area of expertise I'd cultivated was deep dive research, poring over scans of magazines and analysing papers, fact checking. I manually checked people's code for errors or simplifications, you can get generators to do that too, even for php. I used to be an english-french translator.

The generators got renamed AI and slightly better at picture making and writing but it's the same concept.

The artists that designed the web templates are obscured, paid a flat fee by the CMS developpers, the CMS coders are obscured, paid for their code often in flat fees by a company that owns all copyright over the code and all the design elements that go with. That would have been me if I hadn't had further health issues, hiding a layer in one of the graphics or a joke in the code that may or may not make it through to the final product. Or I could be a proof reader and fact checker for articles that get barely enough traffic while they run as "multi snippets" in other publications.

The problem isn't that the machines got smarter, it's that they now encroach on a new much larger area of workers. I'd like to ask why the text to speech folks got a flat fee for their work for example: it's mass usage it should be residual based. So many coders and artists and writers got screwed into flat fee gigs instead of jobs that pay a minimum and more if it gets mass use.

The people willing to pay an artist for a rendition of their pet in the artist's style are the same willing to pay for me to rewrite a machine translation to have the same nuances as the original text. The same people who want free are going to push forward so they keep free if a little less special cats and translations. They're the same people who make clocks that last 5 years instead of the ones my great uncle made that outlived him. The same computer chips my aunt assembled in the UK for a basic wage are made with a lot more damaged tossed chips in a factory far away that you live in with suicide nets on the stairs.

There is so much more to 'AI' than the narrow snake oil you are being sold: it is the classic and ancient automation of work by replacing a human with a limited machine. Robot from serf (forced work for a small living)

It's a large scale generator just like ye olde glitter text generators except that threw a few pennies at the coders who made the generator and glitter text only matters when a human with a spark of imagination knows when to deploy it to funny effect. The issue is that artists and writers are being forced to gig already. We have already toppled into precariousness. We are already half way down the slippery slope if you can get paid a flat fee of $300 for something that could make 300k for the company. The generators are the big threat keeping folks afraid and looking at the *wrong* thing.

We need art and companies can afford to pay you for art. Gig work for artists isn't a safe stable living. The fact that they want to make machines to take that pittance isn't the point. There is money, lots of money. It's not being sent to the people who make art. It's not supporting artists to mess around and create something new. It's not a fight between you and a machine, it's a fight to have artists and artisans valued as deserving a living wage not surviving between gigs.

[techgeni]

What Are the Solutions in Combating Counterfeiting?

Counterfeiting is a growing problem affecting businesses and consumers worldwide. Fake products not only harm brands but also put customers at risk. To tackle this issue, companies and authorities use several anti-counterfeit solution to protect products and ensure authenticity. Here are some of the best ways to combat counterfeiting:

1. Use Advanced Security Labels

Security labels and holograms help verify genuine products. Holographic stickers, tamper-proof labels, and invisible inks make it harder for counterfeiters to copy items. Consumers can check for these features to ensure they are buying authentic goods.

2. Implement QR Codes and Track-and-Trace Technology

QR codes and tracking technology allow consumers and businesses to scan and verify products. A simple scan can reveal details like manufacturing location, batch number, and authenticity status. This method also helps brands track their products in real-time.

3. Blockchain for Product Authentication

Blockchain technology offers a secure and transparent way to track products from the manufacturer to the end user. Every transaction is recorded and cannot be altered, making it difficult for counterfeit goods to enter the supply chain.

4. RFID and NFC Tags

Radio Frequency Identification (RFID) and Near Field Communication (NFC) tags are widely used in high-end products like electronics, luxury goods, and pharmaceuticals. These tags store product data that can be verified using special readers or mobile apps.

5. Strict Legal Actions and Regulations

Governments worldwide are imposing stricter penalties and stronger regulations to stop counterfeiting. Businesses must work with law enforcement agencies to take legal action against counterfeiters and prevent fake products from entering the market.

6. Educate Consumers and Businesses

Raising awareness is an effective way to reduce counterfeiting. Brands should educate consumers on how to identify fake products and encourage them to buy from authorized dealers. Training employees and suppliers also helps in detecting counterfeit goods.

7. Supply Chain Transparency

Maintaining a transparent and well-monitored supply chain reduces the chances of counterfeit products getting mixed with genuine ones. Using digital systems to track shipments and verify suppliers can significantly reduce fraud.

8. Online Monitoring and Removal of Fake Listings

Counterfeit products are often sold online. Companies should regularly monitor e-commerce platforms and social media to detect fake listings and take them down. Many platforms offer tools to report and remove counterfeit products.

9. Collaboration Between Industries and Authorities

A collective effort between industries, governments, and regulatory bodies is essential in the fight against counterfeiting. Sharing data, intelligence, and resources can help in identifying counterfeit operations and shutting them down effectively.

10. Investing in AI-Powered Anti-Counterfeit Solutions

Artificial intelligence and machine learning can help detect counterfeit products faster. AI-powered image recognition, pattern detection, and data analysis can track suspicious activities and prevent counterfeit goods from spreading.

11. Customer Verification Programs

Brands can introduce customer verification programs where buyers can register their purchases. By scanning serial numbers or registering their products, consumers can verify authenticity and get protection against counterfeit goods.

12. Encouraging Ethical Manufacturing and Sourcing

One way to reduce counterfeiting is by ensuring ethical sourcing of materials and manufacturing processes. Brands should work with verified suppliers and follow strict quality control measures to prevent counterfeits from entering the market.

13. Developing Smart Packaging Solutions

Smart packaging is an innovative way to protect products. Using digital watermarks, NFC chips, and interactive packaging allows consumers to verify authenticity and track the product journey with their smartphones.

14. Leveraging Biometric Authentication

Biometric technology, such as fingerprint scanning, facial recognition, and voice authentication, can add another layer of security for high-value items. These features can be integrated into packaging or access controls to verify genuine products.

15. Strengthening Border Control Measures

Governments can enhance border security to prevent counterfeit products from entering the country. Stricter import inspections, real-time scanning, and collaboration with international agencies can help detect and confiscate fake goods before they reach the market.

Conclusion

Combating counterfeiting requires a combination of technology, legal actions, and consumer awareness. By using anti-counterfeit solutions like security labels, QR codes, blockchain, and RFID tags, businesses can protect their brand and customers. At the same time, consumers must stay informed and buy only from trusted sources to avoid counterfeit goods. Continued collaboration and the use of innovative solutions will play a key role in eliminating counterfeit products from the market.

[barcode-usinfo]

gs1 barcode

A GS1 barcode is a globally recognized and standardized barcode system that allows businesses to uniquely identify products and services throughout the supply chain. Managed by GS1, a not-for-profit organization, these barcodes are used by millions of businesses worldwide to streamline processes such as inventory management, point-of-sale transactions, and logistics. The GS1 barcode system ensures that businesses can efficiently and accurately track products, whether in retail, manufacturing, or other sectors.

What is a GS1 Barcode?

A GS1 barcode is a visual representation of a Global Trade Item Number (GTIN), which uniquely identifies a product. The barcode contains data that can be read by a scanner, allowing businesses to track and manage products across the supply chain. The GTIN embedded in the barcode typically represents a product’s identifier, linking it to the business’s inventory management system, product database, and sales records.

GS1 barcodes are used in various industries, including retail, healthcare, food, pharmaceuticals, and logistics, to manage product information efficiently.

Key Components of a GS1 Barcode

GS1 Company Prefix: A unique identifier assigned to each business by GS1. This prefix forms the starting part of the barcode and ensures that each company can be uniquely identified in the global supply chain.

Product Identifier (GTIN): The Global Trade Item Number (GTIN) is the unique identifier for each product. It could be a 12-digit UPC, 13-digit EAN, or 14-digit GTIN-14, depending on the product and market requirements. The GTIN provides businesses and consumers with detailed product information.

Check Digit: A single digit that helps verify the accuracy of the barcode. It is calculated using a mathematical algorithm based on the other digits in the barcode. The check digit ensures that the barcode is scanned correctly and avoids errors during transactions.

Additional Data: In some cases, additional information such as batch numbers, serial numbers, or expiration dates can be encoded into the barcode, especially for industries like healthcare, food, and pharmaceuticals.

Types of GS1 Barcodes

There are several types of GS1 barcodes, each designed for different use cases:

UPC (Universal Product Code): Used primarily in the United States and Canada, the UPC is a 12-digit barcode that uniquely identifies retail products. It consists of the GS1 Company Prefix, product identifier, and a check digit.

EAN (European Article Number): This is a 13-digit barcode used mainly in Europe and other international markets. It’s similar to the UPC but includes an additional digit to accommodate European retail standards.

GTIN-14: A 14-digit barcode used for trade items such as shipping containers, pallets, or cases containing multiple individual products. It is commonly used in logistics and supply chain management to identify bulk packaging or multi-unit items.

GS1 DataBar: A compact barcode that can encode more information than the traditional UPC or EAN barcodes. It is commonly used for small items, such as fresh produce or items with limited space for labeling.

GS1-128: A 1D barcode used in logistics, healthcare, and shipping. It is highly versatile and can store additional data such as batch numbers, expiration dates, and serial numbers.

QR Code: A 2D barcode that can store large amounts of information in both horizontal and vertical directions. It is used in various sectors, such as marketing, product information sharing, and digital transactions.

How GS1 Barcodes Work

The GS1 barcode functions by encoding product information into a machine-readable format, which can be scanned by barcode readers. When a barcode is scanned, the system decodes the information into a unique identifier (GTIN) that is cross-referenced with a product database, retrieving information such as the product name, price, manufacturer, and stock quantity.

Barcode Creation: A business must first register with GS1 to obtain a GS1 Company Prefix. Once the prefix is assigned, the business can generate GTINs for their products. Each GTIN corresponds to a specific product.

Barcode Generation: Once the GTIN is assigned, the business uses barcode generation tools or services provided by GS1 to generate the actual barcode (e.g., UPC or EAN). The barcode visually represents the GTIN as a series of black bars and white spaces, which a scanner can read.

Scanning: At the point of sale (POS) or during inventory management, a barcode scanner reads the barcode, decodes the GTIN, and retrieves the corresponding product information from a database.

Product Information: The product’s details—such as the name, price, description, and stock level—are displayed on the system, helping businesses manage inventory and process transactions quickly and accurately.

Benefits of GS1 Barcodes

Global Standardization: GS1 barcodes are used worldwide, making it easy to trade and track products internationally. No matter where a product is sold, the GS1 barcode ensures it can be easily identified, whether in retail, logistics, or e-commerce.

Efficiency and Speed: Barcodes speed up the scanning and checkout process in retail environments, reducing the time spent on manual data entry and minimizing errors. This leads to faster transactions and a better customer experience.

Improved Inventory Management: GS1 barcodes make inventory tracking easier by allowing businesses to track product movement in real-time. This reduces the risk of stockouts, overstocking, and product loss, and helps ensure accurate stock levels.

Accurate Data: By automating product identification through barcodes, businesses reduce the likelihood of errors that can occur with manual data entry. This leads to more accurate product information and fewer discrepancies between sales and inventory.

Traceability and Transparency: GS1 barcodes provide detailed traceability for products across the supply chain. This is especially important in industries like food and pharmaceuticals, where tracking the origin, batch number, and expiration date of a product is critical.

Compliance: Many retailers, government agencies, and industry regulators require products to be barcoded in compliance with GS1 standards. Using GS1 barcodes ensures that products meet regulatory requirements and retailer specifications.

How to Apply for a GS1 Barcode

To get a GS1 barcode for your product, follow these steps:

Register with GS1: Visit the official GS1 website in your region (e.g., GS1 US, GS1 UK, or GS1 International) and sign up as a member. You’ll be issued a GS1 Company Prefix.

Assign Product Numbers (GTINs): Once you have your GS1 Company Prefix, assign a unique GTIN to each of your products. The GTIN can be 12 digits (UPC), 13 digits (EAN), or 14 digits (GTIN-14), depending on the type of product and the market.

Generate the Barcode: Using your GTIN, you can generate the corresponding barcode. You can use barcode generation software or services provided by GS1 or other third-party providers.

Print the Barcode: Print the barcode onto your product packaging or labels. Make sure that the barcode is clear, scannable, and placed in a prominent area on the packaging.

Test the Barcode: Before distributing your product, test the barcode with a barcode scanner to ensure that it is correctly formatted and scannable.

Conclusion

A GS1 barcode is a critical tool for product identification and tracking in today’s global supply chain. Whether you're in retail, logistics, or healthcare, GS1 barcodes help streamline operations, improve inventory management, and ensure compliance with international standards. By registering with GS1, obtaining a Company Prefix, and assigning GTINs to your products, you can generate the necessary barcodes that make your products easily identifiable in stores and online.

[sap001]

What are some key benefits of SAP BTP for businesses?

SAP Business Technology Platform (SAP BTP) offers businesses numerous benefits, making it a powerful tool for digital transformation. Key advantages include seamless integration of SAP and non-SAP applications, enabling streamlined business processes. Its advanced analytics and machine learning capabilities help derive actionable insights from data, driving informed decision-making. The platform also fosters innovation through a low-code/no-code environment, empowering businesses to build custom applications swiftly.

With SAP BTP, companies can enhance scalability and agility while reducing IT complexity. It supports hybrid and multi-cloud environments, providing flexibility and optimizing operational costs. Additionally, its security features ensure robust data protection and compliance.

To upgrade your SAP skills, explore Anubhav Oberoy’s renowned online training courses, recognized globally for their quality. Visit Anubhav Trainings for details on his upcoming batches. His corporate training expertise ensures you gain valuable, industry-relevant knowledge.

[kayrwt]

gs1 barcode

Understanding GS1 Barcodes: The Standard for Global Product Identification

In today's interconnected world of commerce, efficient product identification and seamless supply chain management are essential for businesses of all sizes. GS1 barcodes serve as the global standard for uniquely identifying products, assets, and locations, ensuring consistency and accuracy across industries worldwide. This article explores the fundamentals of GS1 barcodes, their types, and why they are critical for businesses operating in a global marketplace.

What is GS1?

GS1 (Global Standards One) is a non-profit organization that develops and maintains global standards for supply chains. Established in 1974, GS1 is best known for introducing the Universal Product Code (UPC), the world's first barcode. Today, GS1 standards are used in over 100 countries, enabling businesses to identify, capture, and share information seamlessly.

Key GS1 Functions:

Provide unique identification numbers for products, assets, and locations.

Ensure barcode consistency across global markets.

Facilitate efficient supply chain management and data sharing.

What is a GS1 Barcode?

A GS1 barcode is a machine-readable symbol used to represent a GS1 identification number. This number uniquely identifies products, locations, shipments, or assets in a standardized format, ensuring seamless communication between businesses, retailers, and consumers.

Each GS1 barcode contains:

GTIN (Global Trade Item Number): A unique product identifier.

Company Prefix: A unique code assigned to the brand owner.

Product Code: A unique number for each product variant.

Check Digit: Ensures barcode accuracy during scanning.

Types of GS1 Barcodes

GS1 offers a variety of barcode formats tailored for different uses across industries.

1. UPC (Universal Product Code)

Commonly used in retail stores worldwide.

Contains 12 digits (GTIN-12).

Ideal for point-of-sale (POS) scanning.

2. EAN (European Article Number)

Widely used in Europe and globally.

Contains 13 digits (GTIN-13).

Compatible with retail and POS systems.

3. GS1-128

Used for logistics and shipping labels.

Can encode batch numbers, expiration dates, and other data.

Improves traceability in the supply chain.

4. DataMatrix

A 2D barcode used in healthcare and manufacturing.

Stores large amounts of data in a small space.

Ideal for tracking medical devices and pharmaceuticals.

5. QR Code (Quick Response Code)

Used in marketing, payments, and digital product information.

Can store URLs, text, or serial numbers.

Scannable using smartphones.

6. GS1 Digital Link

Connects physical products to digital content via barcodes.

Enables customers to access product information, promotions, and manuals online.

Why Use GS1 Barcodes?

GS1 barcodes offer several advantages for businesses across different sectors:

Global Recognition: Accepted worldwide in retail, logistics, and healthcare.

Accuracy: Minimize errors during scanning and data entry.

Efficiency: Streamline inventory management and reduce manual processes.

Traceability: Enable end-to-end product tracking across the supply chain.

Transparency: Provide detailed product information to consumers.

Regulatory Compliance: Meet international standards and regulations.

How to Get a GS1 Barcode?

Register with GS1: Start by creating an account with your local GS1 organization.

Obtain a GS1 Company Prefix: This prefix uniquely identifies your brand.

Assign GTINs: Allocate a Global Trade Item Number (GTIN) to each product.

Generate Barcodes: Use GS1-approved tools to create your barcode.

Print and Apply: Ensure high-quality printing for clear scanning.

GS1 in Different Industries

1. Retail:

Accurate product identification at point-of-sale terminals.

Better inventory control and stock management.

2. Healthcare:

Tracking of medical equipment and medications.

Enhancing patient safety with precise identification.

3. Logistics:

Real-time tracking of shipments and parcels.

Better warehouse management and order fulfillment.

4. E-commerce:

Simplify product catalog management.

Ensure compatibility across online marketplaces.

5. Food and Beverage:

Track ingredients and final products through supply chain transparency.

Ensure product authenticity and reduce counterfeiting.

Benefits of GS1 Barcodes

Global Standards Compliance: Recognized worldwide for cross-border trade.

Supply Chain Optimization: Enhances logistics and warehouse efficiency.

Reduced Errors: Lowers the risk of manual data entry mistakes.

Enhanced Customer Trust: Accurate product information boosts credibility.

Cost-Effective: Saves time and resources in manual tracking systems.

Challenges in Implementing GS1 Barcodes

While GS1 barcodes offer numerous advantages, businesses may face challenges:

Initial Setup Costs: Registering and obtaining GS1 licenses may require investment.

Training Needs: Staff must be trained to handle barcode systems efficiently.

Printing Quality: Poor-quality barcode printing can affect scanner accuracy.

The Future of GS1 Barcodes

The GS1 system continues to evolve with advancements in technology:

Integration with IoT (Internet of Things): Enabling smarter supply chain solutions.

Blockchain Technology: Enhancing traceability and data transparency.

AI and Machine Learning: Improving demand forecasting and inventory management.

GS1 Digital Link: Bridging physical products with the digital world through scannable links.

Conclusion

GS1 barcodes are more than just a series of lines and numbers—they represent a global standard for efficiency, traceability, and accuracy. Whether you're a small business or a multinational corporation, adopting GS1 barcodes ensures your products are identified correctly, tracked seamlessly, and meet global compliance standards.

Investing in GS1 barcode standards is not just a business decision; it’s a step towards global competitiveness and customer trust.

[ricrbhopal]

What Are The Best Coding Classes Available In Bhopal?

The Best Coding Classes Available In Bhopal

In today’s technology-driven world, coding skills have become essential for students, professionals, and tech enthusiasts alike. If you are in Bhopal and looking to build your programming skills, several institutes offer top-notch coding classes in Bhopal to help you succeed. Whether you want to learn Web Development, Python, Data Science, Java Coaching In Bhopal, Mobile App Development, or full stack development institute in Bhopal, these coding institutes provide excellent training programs to meet diverse learning needs.

Top Coding Institutes in Bhopal

1.   RICR - Raj Institute of Coding & Robotics

Overview: RICR is one of the most reputed institutes to Learn java Programming in Bhopal. It offers project-based learning with a focus on practical skills and industry-ready knowledge.

Courses Offered:

Java coding Classes in Bhopal

Web Development (HTML, CSS, JavaScript, React)

Full Stack Development institute in Bhopal

Data Science

Why Choose Sheryians:

Industry-relevant curriculum

Experienced instructors

Hands-on projects

Placement assistance

2.    Dezven Software Solution

Overview: Dezven Software Solution specializes in coding and software development training with real-world projects. The institute is well-known for its professional approach and technical expertise.

Courses Offered:

Java, C++, and C Programming

Web Development

Mobile App Development (Android and iOS)

Advanced Python with Django

Java coaching in bhopal

Why Choose Dezven:

Live project training

Experienced trainers

Small batch sizes for personalized attention

Coding classes for beginners in bhopal

3.    CodeAce Technologies Pvt Ltd

Overview: CodeAce Technologies provides excellent training for software development, coding, and IT skills. It’s ideal for students looking to excel in both academics and the job market.

Courses Offered:

Programming Languages (Python, Java, JavaScript)

Full Stack Development

Web Design and Development

UI/UX Design

Why Choose CodeAce:

Hands-on practical training

Industry-relevant curriculum

Internship and placement assistance

4.    Rankfrog Solutions

Overview: Rankfrog Solutions offers coding classes with a mix of IT and digital marketing courses. The institute ensures you gain hands-on experience in coding projects.

Courses Offered:

Web Development (Frontend and Backend)

App Development

Software Development Fundamentals

Why Choose Rankfrog:

Qualified mentors

Focus on practical learning

Affordable course fees

5.    Fly Infosoft

Overview: Fly Infosoft delivers practical, hands-on training for programming and software development. It’s an ideal choice for beginners and intermediate learners.

Courses Offered:

Python, C, C++

Advanced Web Development

Java and .NET Frameworks

Mobile Application Development

Why Choose Fly Infosoft:

Flexible course timing

Industry-specific projects

Supportive faculty

6.    Saksham Digital Technology

Overview: Saksham Digital Technology provides quality coding education with an emphasis on interactive learning and building technical skills.

Courses Offered:

Programming Basics (C, C++)

Python Programming

Full Stack Web Development

Data Structures and Algorithms

Why Choose Saksham:

Expert trainers

In-depth practical exposure

Affordable fee structure

7.    Coding Thinker

Overview: Coding Thinker focuses on making coding easy and fun for students. The institute provides step-by-step training and a beginner-friendly curriculum.

Courses Offered:

Basic and Advanced Python

Java and Web Development

Machine Learning Basics

Why Choose Coding Thinker:

Simple and interactive teaching style

Personalized learning

Practical assignments

How to Choose the Right Coding Class?

Choosing the right coding institute in Bhopal depends on a few key factors:

Your Goals: Are you learning for a job, career switch, or personal growth?

Curriculum: Look for up-to-date content and relevant programming languages.

Trainer Experience: Experienced and industry-exposed mentors make a huge difference.

Practical Exposure: Choose institutes that offer hands-on projects, live coding, and internship opportunities.

Reviews and Ratings: Check Google reviews or ask for student feedback.

Flexibility: Opt for courses with flexible timings, especially if you are a working professional or students in Coding classes for beginners in bhopal

Conclusion

Bhopal has a growing ecosystem for tech education, and these coding institutes stand out for their teaching quality, hands-on learning, and career support. Whether you are a beginner or an experienced programmer, you can find a course that fits your needs. By choosing the right institute, you can gain practical skills, build strong coding foundations, and pave the way for a successful tech career.

Start today, explore the options, and take the first step toward becoming a proficient coder!

[syntax-minds]

Can I learn AI without coding?

Yes, you can learn AI without coding! While coding is an important skill for advanced AI work, there are several ways you can understand AI concepts and use AI tools without writing code yourself. Here's how:

1. AI Concepts and Theory

You can start by learning the foundational concepts of AI, such as:

Machine Learning: Understanding the basics of supervised, unsupervised, and reinforcement learning.

Neural Networks: Learning how deep learning works without diving into coding.

Natural Language Processing (NLP): How machines understand human language.

Computer Vision: How machines recognize and interpret images.

You can learn these concepts through courses, books, and videos that focus on the theory and practical applications of AI without needing to code.

2. No-Code AI Tools

Several platforms allow you to build AI models using simple drag-and-drop interfaces:

Teachable Machine: A Google tool that lets you train a model with images, sounds, or poses without coding.

RunwayML: A creative toolkit for artists and designers to use AI with minimal technical skills.

Lobe: A Microsoft tool that lets you train machine learning models easily.

BigML: Provides a no-code environment to build and deploy machine learning models.

These tools are user-friendly and focus on helping you understand AI through a visual and practical approach.

3. AI in Everyday Tools

Many AI-powered tools today are designed for users with no coding experience:

Chatbots (e.g., ChatGPT): You can interact with AI systems like this one to explore language models.

Image Recognition: AI-driven apps such as Google Lens allow you to use AI without coding.

Data Analytics Tools: Many analytics platforms like Tableau or Power BI have built-in AI features that analyze data with minimal technical knowledge.

4. Courses and Learning Platforms

There are courses designed for non-technical learners, which focus on teaching AI concepts and applications. Platforms like Coursera, edX, and Udemy offer courses in AI that require little or no coding, such as:

AI for Everyone by Andrew Ng on Coursera (no coding required).

Introduction to Artificial Intelligence (AI) by IBM on edX.

5. AI Ethics and Applications

You can focus on the societal, ethical, and business aspects of AI. AI is increasingly influencing industries, and having a strong understanding of its implications, potential, and limitations is valuable. Learning about the ethical considerations, biases, and privacy concerns of AI doesn't require coding but gives you insight into the broader picture.

Conclusion

While coding is essential for a deep dive into AI development, you can start learning AI concepts, use AI tools, and explore its applications without writing code. Whether you're interested in the theory, tools, or ethical issues, there are plenty of resources available that don't require programming skills.

Syntax Minds is a training institute located in the Hyderabad. The institute provides various technical courses, typically focusing on software development, web design, and digital marketing. Their curriculum often includes subjects like Java, Python, Full Stack Development, Data Science, Machine Learning, Angular JS , React JS and other tech-related fields.

For the most accurate and up-to-date information, I recommend checking their official website or contacting them directly for details on courses, fees, batch timings, and admission procedures.

If you'd like help with more specific queries about their offerings or services, feel free to ask!

[autoprint]

A Comparative Analysis for Variable Data Printing vs. Traditional Printing

The printing industry has seen significant advancements over the years, particularly with the introduction of variable data printing (VDP). This technology allows for the printing of individualized information on each sheet, such as alphanumeric characters, addresses, barcodes, QR codes, and logos.

What is Variable Data Printing?

Variable data printing (VDP) involves printing unique data on each sheet, which is crucial for applications requiring personalized information. This technology supports high-speed printing on various substrates like Colour Wove, Maplitho, Art Paper, Duplex Board up to 350 gsm, and NCR Sheet. The Autoprint Reckoner VDP65 is an example of a machine that leverages HP Inkjet Technology to offer efficient numbering, barcoding, mail addressing, and online perforation.

Traditional Printing

Traditional printing methods, such as offset and digital printing, produce identical copies of a print job. These methods are cost-effective for large volumes of the same print material but do not offer the flexibility of VDP. Traditional printing is best suited for mass production where the content remains consistent across all copies.

Advantages of Variable Data Printing

1. Personalization: VDP allows for the customization of each printed piece, making it ideal for direct mail, marketing materials, and personalized invitations.

2. Efficiency: By printing variable information directly, VDP eliminates the need for pre-printed stock and separate personalization steps, reducing production time.

3. Cost-Effectiveness: Although the initial setup cost may be higher, VDP can be more cost-effective in the long run by reducing waste and inventory costs.

4. Versatility: VDP can be applied to various substrates and formats, offering flexibility for different applications.

Autoprint Reckoner VDP65

The Autoprint Reckoner VDP65 is an offline sheetfed variable data printing machine using HP Inkjet Technology. It is designed for high-speed, accurate printing of variable data such as numbers, barcodes, and addresses. As an authorized oil-free air compressor dealer, AS Equipment ensures that customers receive top-quality products along with exceptional support and service, maximizing the performance and reliability of their compressed air systems.

Batch Coding Systems

A batch coding system is crucial for marking products with unique codes or batch numbers, ensuring traceability throughout the supply chain. These systems are vital for industries like food and beverage, pharmaceuticals, and cosmetics, where product safety and quality are paramount. Batch coding can be integrated with VDP machines to streamline processes and ensure accurate, consistent coding.

Steps Involved in Batch Coding

1. Prepare the Design: Create the design for the batch code, including relevant information such as the date of manufacture and product batch number.

2. Set Up the Machine: Calibrate the batch coding machine and load the necessary ink or ribbon.

3. Load the Product: Position the product or packaging correctly on the machine’s conveyor.

4. Set Parameters: Configure printing speed, number of copies, and other settings.

5. Start Coding: Activate the machine to print the batch code.

6. Verify Codes: Check the printed codes for accuracy and legibility.

Both variable data printing and traditional printing have their unique advantages and are suited to different applications. VDP offers unparalleled flexibility and efficiency for personalized printing needs, while traditional printing remains the best choice for large-scale, uniform print jobs. By understanding the strengths of each method, businesses can choose the right technology to optimize their production processes. For high-quality VDP solutions, the Autoprint Reckoner VDP65 stands out as a reliable choice, supported by AS Equipment’s excellent service as an authorized dealer.

Read more posts Maximizing Efficiency with Automatic UV Coating Machines: Tips and Best Practices Role of prepress in offset printing

[bluewavee12]

Top Data Science Training in Kerala: Why Zoople is Your Best Choice

The digital era has brought with it a demand for data literacy, and nowhere is this more apparent than in the field of data science. From artificial intelligence to predictive analytics, companies around the globe rely on data to drive their decisions. If you're looking to join this high-demand field, Kerala offers a range of training institutes, with Zoople standing tall as a leading provider of data science education.

In this blog, we’ll explore why Zoople is widely regarded as one of the top data science training centers in Kerala, and what sets it apart from other training institutes.

1. Industry-Relevant Curriculum

At Zoople, the data science curriculum is not just theoretical but also highly aligned with industry needs. The course structure is designed to equip students with the knowledge and skills that companies are looking for. Key areas of focus include:

Data Wrangling and Data Mining

Advanced Machine Learning Algorithms and Deep Learning Techniques

Statistical Analysis using Python and R

Data Visualization tools like Tableau, Power BI, and Matplotlib

Big Data Analytics using Hadoop and Spark

Cloud-Based Data Solutions (AWS, Azure)

The curriculum is frequently updated to include emerging technologies like artificial intelligence, blockchain, and IoT applications in data science.

2. Expert Trainers with Industry Experience

One of the hallmarks of Zoople’s data science program is its teaching faculty. The trainers are not just academic experts but seasoned professionals with years of experience in the field of data science, artificial intelligence, and machine learning. These trainers share practical, real-world insights from their careers, helping students understand how to apply theoretical concepts to actual business problems.

3. Real-Time Projects & Hands-On Learning

The most effective way to learn data science is by doing, and Zoople emphasizes hands-on learning. The course incorporates multiple real-world projects that mimic the kind of challenges data scientists face on the job. From analyzing complex datasets to building machine learning models, students gain practical experience working on live projects that offer real-world relevance. Key project areas include:

Predictive Analytics for business decision-making

Recommendation Systems used in e-commerce and streaming platforms

Sentiment Analysis using social media data

Customer Segmentation for marketing strategies

Fraud Detection Models for financial institutions

This hands-on, project-driven approach ensures students are not just job-ready but industry-ready.

4. Cutting-Edge Infrastructure and Tools

Zoople provides access to cutting-edge tools and technology in its training. Students work with real datasets and use the most modern software, including:

Jupyter Notebooks for interactive data science coding

Scikit-Learn and TensorFlow for machine learning

Apache Hadoop for big data processing

Tableau and Power BI for data visualization

AWS for cloud-based analytics

This access to state-of-the-art tools ensures students are familiar with the latest platforms used by data scientists across the world.

5. Flexible Learning Options

Zoople understands that not all students can commit to full-time classes, which is why they offer flexible learning modes:

In-Person Classes: For those who prefer a traditional classroom setting.

Online Training: Ideal for working professionals or those with a busy schedule.

Weekend Batches: Designed specifically for full-time employees looking to upskill on weekends.

This flexible structure allows students to balance their learning with their personal and professional lives.

6. Career-Oriented Learning

Beyond just technical skills, Zoople also focuses on career-readiness. With a dedicated placement cell, Zoople offers:

Resume Building Workshops: Help students create impactful resumes tailored to data science roles.

Mock Interviews: Prepare students to confidently answer technical and behavioral interview questions.

Job Referrals: Through Zoople’s industry connections, students are often referred to top companies in Kerala, Bangalore, and beyond.

The training at Zoople not only builds technical expertise but also equips students with the soft skills necessary to thrive in a data science career.

7. Excellent Placement Record

Zoople boasts an impressive track record when it comes to placements. With collaborations with leading companies and startups, Zoople has successfully placed students in renowned firms across industries. The placement team assists students throughout the entire job-search process, ensuring that they land roles as data analysts, data engineers, machine learning engineers, and more.

Companies that have hired Zoople graduates include:

Infosys

TCS

IBM

Amazon

Accenture

Cognizant

Many Zoople alumni have risen to leadership positions in their companies, thanks to the comprehensive training and industry exposure they received at Zoople.

8. Affordable and Value-Driven Programs

While offering top-quality training, Zoople ensures its programs are affordable. Flexible payment plans and financing options make it easier for students to pursue a career in data science without worrying about financial constraints. This focus on value for money makes Zoople an excellent choice for students looking for high-quality education at competitive prices.

9. Community and Networking Opportunities

Zoople fosters a strong sense of community among its students. Through various seminars, hackathons, and workshops, students get the chance to interact with industry leaders and peers. These networking opportunities help students expand their professional network, which can be crucial when they enter the job market.

10. Lifetime Access to Course Material

Upon completion of the data science course at Zoople, students gain lifetime access to the course materials and recordings. This feature ensures that even after the course ends, students can revisit lectures and refresh their knowledge whenever needed.

Conclusion

Zoople has earned its reputation as one of the top data science training institutes in Kerala by combining industry-relevant curriculum, hands-on learning, expert trainers, and unparalleled career support. Whether you're a fresh graduate looking to break into data science or a working professional aiming to upskill, Zoople offers the perfect launchpad for your data-driven career.

Start your data science journey with Zoople today!

[samiinfotech1]

Transform Your IT Career with Premier Training Institutes in Chembur

In the bustling and ever-evolving world of information technology, staying ahead of the curve is crucial. For professionals and aspiring IT enthusiasts in Mumbai, Chembur is home to several esteemed IT training institutes that offer top-notch education and hands-on experience. Whether you're looking to sharpen your skills, switch careers, or start from scratch, Chembur’s IT training centers provide a variety of courses tailored to meet diverse needs.

One of the most significant advantages of IT training institute in Chembur is their strategic location. Chembur is a well-connected locality, making it accessible for individuals from various parts of Mumbai. The area’s infrastructure supports easy commutes, ensuring that students can attend classes without significant travel hassles.

Top Training Programs Offered

Software Development: Many institutes in Chembur offer comprehensive courses in software development, including programming languages like Java, Python, and C++. These courses are designed to provide a solid foundation in coding and software engineering principles. Students learn to build and manage software applications, a skill set that is highly valued in today’s job market.

Web Development: With the increasing demand for web developers, institutes in Chembur provide specialized training in front-end and back-end web development. Courses cover HTML, CSS, JavaScript, and various frameworks such as React and Angular. These programs often include real-world projects, giving students practical experience in building and maintaining websites.

Data Science and Analytics: As data continues to play a pivotal role in decision-making across industries, data science courses have become highly popular. Institutes in Chembur offer training in data analysis, machine learning, and data visualization using tools like Python, R, and SQL. These programs equip students with the skills needed to analyze complex data sets and derive actionable insights.

Cybersecurity: With increasing concerns over data breaches and cyber threats, cybersecurity training is essential. Chembur’s institutes offer courses on network security, ethical hacking, and information security management. These programs aim to prepare students to protect digital assets and understand various security protocols and strategies.

Networking: For those interested in the infrastructure side of IT, networking courses are available. These programs cover networking fundamentals, network design, and troubleshooting. Certifications such as Cisco's CCNA are often part of the curriculum, helping students to qualify for various networking roles.

Why Choose Training Institutes in Chembur?

Quality Education: Institutes in Chembur are known for their high standards of education. Many of these centers have experienced trainers who bring industry knowledge and practical insights into the classroom. This quality instruction ensures that students receive relevant and up-to-date knowledge.

State-of-the-Art Facilities: Many Online IT courses Chembur are equipped with modern labs and facilities. This hands-on approach helps students gain practical experience, which is crucial for understanding theoretical concepts.

Career Support: Beyond teaching, many institutes offer career services such as resume building, interview preparation, and job placement assistance. These services can significantly enhance a student’s employability and career prospects.

Flexible Learning Options: Understanding the diverse needs of students, institutes offer flexible learning options, including weekend batches, evening classes, and online courses. This flexibility allows individuals to balance their studies with other commitments.

For anyone looking to advance their career or break into the IT industry, Chembur’s IT training institutes offer a wealth of opportunities. With a range of programs designed to cater to various interests and skill levels, students can find the perfect course to meet their career goals. By choosing a reputable institute in Chembur, individuals can invest in their future and gain the skills needed to thrive in the competitive world of IT.

[barcode-usinfo]

gs1 barcode

A GS1 barcode is a barcode that follows the global standards established by GS1, an international organization responsible for developing and maintaining standards for business communication, particularly in product identification and supply chain management. GS1 barcodes are used worldwide to uniquely identify products, services, or assets in various industries, such as retail, healthcare, logistics, and manufacturing.

What is a GS1 Barcode?

A GS1 barcode is a graphical representation of data that encodes information in a machine-readable format. This data can be used to identify products, track shipments, and manage inventory. The most common type of GS1 barcode is the UPC (Universal Product Code) in the retail industry, but GS1 also covers a wide range of other barcode types used in different applications.

Components of a GS1 Barcode

GS1 Company Prefix: The GS1 Company Prefix is a unique identifier assigned to a company by GS1. It is the starting point for generating a GS1 barcode. This prefix allows businesses to identify their products uniquely in the global marketplace.

Product Identifier (GTIN): A Global Trade Item Number (GTIN) is used to uniquely identify a product. It could be a 12-digit UPC code, a 13-digit EAN code, or a 14-digit GTIN-14 code, depending on the type of barcode being used.

Check Digit: The final digit in a GS1 barcode is a check digit. It is calculated using a mathematical formula and is used to validate the barcode’s accuracy when it is scanned.

Additional Information: Depending on the application, additional information, such as batch numbers, expiration dates, or serial numbers, can be encoded into the barcode.

Types of GS1 Barcodes

There are several different types of GS1 barcodes, each designed for specific applications:

UPC (Universal Product Code):

Used primarily in the United States and Canada for retail products.

The UPC-A is a 12-digit barcode that encodes a GS1 Company Prefix, product identifier, and a check digit.

EAN (European Article Number):

A 13-digit barcode commonly used outside of North America.

It is very similar to the UPC, but it has a 13-digit format to accommodate international product identification.

GTIN-14 (Global Trade Item Number):

A 14-digit barcode used for identifying trade items at various levels in the supply chain, such as cartons or pallets.

GS1 DataBar:

A compact barcode that can encode more information than traditional UPC or EAN barcodes.

Used for small or variable data products, such as fresh produce or small items that cannot accommodate a larger barcode.

GS1-128:

A 1D barcode that can encode multiple types of data, including batch numbers, expiration dates, and serial numbers.

It is commonly used in logistics, healthcare, and shipping.

QR Codes (Quick Response Codes):

A type of 2D barcode that can store large amounts of information and is commonly used in marketing, product information sharing, and digital transactions.

QR codes are widely used on packaging, advertisements, and websites to link users to additional product information or promotions.

How GS1 Barcodes Work

Barcode Creation: To create a GS1 barcode, you first need to obtain a GS1 Company Prefix by registering with GS1. This prefix is used to create unique product identifiers (GTINs), which form the base of your barcode.

Barcode Generation: Once you have your GTIN, you can use barcode generation software or services to create the visual barcode. This barcode will be in the form of black bars and spaces that represent the encoded product data.

Scanning: When a GS1 barcode is scanned by a barcode scanner, the scanner reads the pattern of bars and spaces, decodes the GTIN, and retrieves the corresponding product information from a database.

Data Retrieval: The system retrieves the product details (name, price, description, etc.) from the product database or inventory management system. This streamlines the process of checking out, stocking, or tracking items in the supply chain.

Benefits of GS1 Barcodes

Global Standardization: GS1 barcodes are universally recognized and accepted in retail, logistics, and supply chain industries worldwide. They ensure that products are identifiable across different regions and businesses, making international trade easier.

Faster and More Accurate Transactions: Scanning GS1 barcodes eliminates the need for manual data entry, which speeds up transactions and reduces errors at the point of sale (POS).

Improved Inventory Management: By using GS1 barcodes, businesses can track inventory more efficiently. This helps reduce stockouts, minimize overstocking, and ensure accurate stock levels across different locations.

Enhanced Traceability: GS1 barcodes provide a way to track products throughout the entire supply chain, from manufacturing to distribution to retail. This is especially important in industries like food, pharmaceuticals, and healthcare, where product traceability and recalls are essential.

Compliance: Many industries and retailers require GS1 barcodes for product listings, packaging, and sales. Using GS1 barcodes helps businesses comply with regulatory requirements and retailer specifications.

How to Get a GS1 Barcode

To get a GS1 barcode for your products, follow these steps:

Register with GS1: First, visit the official GS1 website in your region (such as GS1 US, GS1 UK, or GS1 International) to create an account and register your business. You will be assigned a GS1 Company Prefix.

Assign GTINs to Your Products: Using the GS1 Company Prefix, assign a unique GTIN to each of your products. The GTIN will form the base of your barcode and will uniquely identify each item.

Generate the Barcode: Once you have your GTIN, you can use barcode creation software or services to generate the GS1 barcode. Some barcode printers and software are available through GS1 or third-party providers.

Print the Barcode: After generating your GS1 barcode, print it on your product packaging, labels, or tags. Ensure that the barcode is printed clearly and is scannable.

Test the Barcode: It’s important to test your GS1 barcode using a barcode scanner to verify that it’s readable and correctly links to the product data.

Conclusion

A GS1 barcode is an essential tool for businesses, enabling efficient product identification, inventory management, and supply chain tracking. By adhering to GS1 standards, businesses ensure that their products are identifiable globally and are compliant with industry regulations. Whether you're a small business or a large corporation, implementing GS1 barcodes can streamline your operations, improve accuracy, and provide the traceability required in today's fast-paced business world.

[omshinde5145]

Pharmaceutical Packaging Equipment Market | Current Insight with Future Aspect Analysis 2023-2030

The Pharmaceutical Packaging Equipment Market was valued at USD 8.4 billion in 2023-e and will surpass USD 13.1 billion by 2030; growing at a CAGR of 6.5% during 2024 - 2030. The report focuses on estimating the current market potential in terms of the total addressable market for all the segments, sub-segments, and regions.

In the process, all the high-growth and upcoming technologies were identified and analyzed to measure their impact on the current and future market. The report also identifies the key stakeholders, their business gaps, and their purchasing behavior. This information is essential for developing effective marketing strategies and creating products or services that meet the needs of the target market.

Read More about Sample Report: https://intentmarketresearch.com/request-sample/pharmaceutical-packaging-equipment-market-3337.html

Current Trends in the Pharmaceutical Packaging Equipment Market

Automation and Digitalization: Automation is revolutionizing pharmaceutical packaging. Advanced machinery equipped with AI and machine learning capabilities can perform tasks with precision and speed, reducing human error and increasing efficiency. Digitalization, through the use of IoT (Internet of Things) devices, allows for real-time monitoring and data collection, ensuring better quality control and compliance with regulatory standards.

Sustainability: Environmental concerns are shaping the future of pharmaceutical packaging. Companies are increasingly adopting eco-friendly materials and processes. Packaging equipment is now designed to handle biodegradable and recyclable materials, aligning with global sustainability goals.

Personalized Medicine: The rise of personalized medicine, where treatments are tailored to individual patients, requires flexible packaging solutions. Equipment that can handle small batches and varied packaging formats is in high demand. This trend is pushing manufacturers to develop versatile and adaptable machines.

Regulatory Compliance: Stringent regulatory requirements across the globe necessitate advanced packaging solutions that ensure compliance. Equipment now often includes features for serialization and track-and-trace, helping to prevent counterfeiting and ensuring the authenticity of pharmaceutical products.

Innovations Driving the Market

Smart Packaging: Smart packaging technologies, such as RFID tags and QR codes, are being integrated into pharmaceutical packaging. These innovations provide critical information about the product, such as dosage instructions, expiration dates, and authenticity verification, enhancing patient safety and adherence to treatment regimens.

Blister Packaging Machines: Blister packaging remains a popular choice for pharmaceuticals due to its ability to protect individual doses. Innovations in blister packaging machines include advanced sealing techniques and materials that offer better protection against moisture and contamination.

Aseptic Packaging: Aseptic packaging is crucial for injectable drugs and other sterile products. Innovations in this area focus on improving sterility assurance levels (SAL) and reducing the risk of contamination during the packaging process.

Advanced Labeling Machines: Accurate labeling is essential for compliance and patient safety. Modern labeling machines are now equipped with vision systems and AI to ensure precision. These machines can also handle complex labeling requirements, such as multi-language labels and those with integrated electronic components.

Ask for Customization Report: https://intentmarketresearch.com/ask-for-customization/pharmaceutical-packaging-equipment-market-3337.html

Future Prospects

Expansion of Biologics and Biosimilar: The growing market for biologics and biosimilar will drive demand for specialized packaging equipment. These products often require unique packaging solutions to maintain their stability and efficacy.

Integration with Digital Health: As digital health technologies continue to advance; pharmaceutical packaging will likely integrate more with these systems. This could include packaging that interacts with mobile apps to provide patients with real-time information and reminders.

Increased Adoption of Robotics: Robotics will play a significant role in the future of pharmaceutical packaging. Robotic systems can perform tasks with high precision and consistency, making them ideal for packaging sensitive pharmaceutical products.

Global Market Growth: Emerging markets in Asia-Pacific, Latin America, and Africa present significant growth opportunities for the pharmaceutical packaging equipment market. As these regions continue to develop their healthcare infrastructure, demand for advanced packaging solutions will rise.

Conclusion

The pharmaceutical packaging equipment market is dynamic and rapidly evolving, driven by technological advancements, regulatory requirements, and changing market demands. As automation, sustainability, and personalized medicine continue to shape the industry, manufacturers must innovate to stay competitive. The future of pharmaceutical packaging equipment looks promising, with exciting developments on the horizon that will enhance the safety, efficiency, and sustainability of pharmaceutical products.

[shivshanker123]

Python Course in Cochin: Your Gateway to a Thriving Career in Programming

Cochin, the vibrant city at the heart of Kerala's tech revolution, is quickly becoming a key destination for aspiring programmers. With the rise of digitalization and the increasing demand for skilled tech professionals, learning a programming language like Python is more crucial than ever. Python, renowned for its versatility and simplicity, is widely used in fields ranging from web development to data science, making it an essential skill for any budding developer.

If you’re looking to master Python in Cochin, Zoople Technologies stands out as the premier choice for comprehensive, industry-aligned training. Here’s why Zoople is your best bet for building a successful career in programming through a Python course in Cochin.

Why Python?

Python has consistently ranked as one of the most popular programming languages globally, and for good reason. Whether you’re a beginner looking to dive into coding or a professional aiming to enhance your skill set, Python offers a straightforward yet powerful entry point into the world of programming.

Key Reasons to Learn Python:

Ease of Learning: Python's clear and readable syntax makes it an ideal choice for beginners. You can quickly pick up the basics and start building projects, boosting your confidence as you learn.

Versatility: Python is used in diverse fields including web development, data science, artificial intelligence, machine learning, and automation. This opens up multiple career paths for you.

High Demand: The demand for Python developers is soaring, particularly in areas like data science and AI. Mastering Python significantly enhances your employability and earning potential.

Strong Community and Libraries: With a vast community and extensive libraries, Python provides robust support for problem-solving and project development, making your learning experience smoother and more productive.

Why Zoople Technologies is the Best Choice in Cochin

Choosing the right institution to learn Python is critical to your success. Zoople Technologies has established itself as a leader in tech education in Cochin, offering a well-rounded and practical learning experience that sets you up for success in the real world.

Why Enroll in Zoople’s Python Course in Cochin?

Comprehensive Curriculum: Zoople Technologies’ Python course covers everything you need to know, from the fundamentals to advanced concepts. You’ll gain hands-on experience with Python programming, data structures, algorithms, web development using Django, and data analysis with tools like Pandas and NumPy. The curriculum is regularly updated to keep pace with industry trends, ensuring you learn the most relevant skills.

Experienced and Industry-Connected Faculty: At Zoople, you’re taught by professionals with years of industry experience. The instructors bring real-world insights into the classroom, providing you with practical knowledge that goes beyond textbooks. Their expertise and guidance will help you navigate complex concepts and develop a deep understanding of Python.

State-of-the-Art Facilities: Zoople offers a conducive learning environment equipped with the latest technology. Whether you’re working on projects or attending lectures, you’ll have access to top-notch resources that support your learning journey.

Job Placement Assistance: One of Zoople’s standout features is its robust placement support. The institute has a strong network of industry contacts, and they work tirelessly to help you secure job opportunities after you complete your course. Many Zoople alumni have successfully landed jobs in top companies, thanks to the institution’s dedicated placement cell.

Flexible Learning Options: Zoople understands that everyone has different schedules and commitments. That’s why they offer flexible learning options, including weekend and evening batches. Whether you’re a working professional or a full-time student, you can find a course schedule that fits your life.

Hands-On Projects and Real-World Applications: Learning by doing is a core philosophy at Zoople. You’ll work on real-world projects that simulate industry scenarios, giving you practical experience and the confidence to tackle similar challenges in your career. This project-based approach not only solidifies your learning but also enhances your portfolio, making you more attractive to potential employers.

Why Choose Zoople Technologies?

When you choose Zoople Technologies, you’re not just enrolling in a course—you’re investing in your future. With a focus on quality education, practical skills, and career readiness, Zoople offers a learning experience that is second to none. Here, you’ll not only master Python but also develop the problem-solving abilities and critical thinking skills that are essential in today’s tech-driven world.

Boost Your Career with Zoople Technologies:

Join the Ranks of Successful Graduates: Zoople alumni are thriving in various sectors, thanks to the institute’s emphasis on practical skills and job readiness.

Access to Top Employers: With Zoople’s strong industry connections, you’ll have access to job opportunities at leading companies in the tech sector.

Lifetime Learning and Support: Even after you complete your course, Zoople provides ongoing support and resources to help you continue learning and growing in your career.

Conclusion

In today’s competitive job market, having Python skills can set you apart from the crowd. Zoople Technologies in Cochin is your ideal partner in this journey, offering a comprehensive and career-focused Python course that prepares you for success in the tech industry. Whether you’re a beginner or an experienced professional, Zoople’s expert faculty, state-of-the-art facilities, and strong placement support will help you achieve your career goals.

Don’t miss out on this opportunity to learn from the best. Enroll in Zoople Technologies’ Python course today and take the first step towards a rewarding career in programming. Your future in tech starts here!

[mohankumar1510]

What is a Python? What is the best academy in Bangalore?

A Python course typically refers to an educational program focused on teaching Python programming language skills. Here’s an overview of what you can expect from a Python course:

Data Structures:Understanding and working with data structures such as lists, tuples, dictionaries, and sets in Python.

Functions and Modules:Writing functions, understanding scope, and organizing code into reusable modules.

File Handling:Reading from and writing to files using Python's file handling capabilities.

Object-Oriented Programming (OOP):Introduction to OOP concepts in Python: classes, objects, inheritance, polymorphism, encapsulation.

Error Handling:Techniques for handling exceptions and errors gracefully in Python programs using try-except blocks.

Python Standard Library:Exploring the built-in modules and functions available in Python for various tasks (e.g., datetime, math, os).

Advanced Python Concepts (depending on the course level):Decorators, generators, context managers, iterators, and comprehensions.

Data Science and Visualization Libraries (if included):Introduction to libraries such as NumPy, Pandas, Matplotlib, and Seaborn for data manipulation, analysis, and visualization.

Web Development with Python (if included):Using frameworks like Flask or Django for building web applications, understanding HTTP requests, routing, and templating.

Database Integration (if included):Working with databases in Python using SQL or NoSQL databases like SQLite, MySQL, MongoDB.

Testing and Debugging:Strategies and tools for testing Python code and debugging common errors.

Project Work:Hands-on projects or exercises to apply Python skills in real-world scenarios, building a portfolio of work.

Choosing a Python Course

When selecting a Python course, consider the following factors:

Course Content: Ensure the course covers the topics and depth suitable for your learning goals (e.g., basic, intermediate, advanced Python).

Instructor Expertise: Look for courses taught by experienced Python developers or educators with a strong background in Python programming.

Hands-on Experience: Practical exercises, projects, or labs are essential for reinforcing learning and gaining practical skills.

Format and Delivery: Choose between online courses, in-person classes, or self-paced learning based on your schedule and learning preferences.

Certification: Some courses offer certificates upon completion, which can be beneficial for career advancement or demonstrating proficiency.

Reviews and Reputation: Research the course provider and read reviews from past participants to gauge the quality and effectiveness of the course.

Overall, a Python course equips learners with the foundational and advanced skills needed to leverage Python’s versatility in various fields, including software development, data analysis, web development, automation, and more

"The best Python course in Bangalore is a matter of personal preference and career goals. However, I would like to suggest VK Academy, which offers a comprehensive Python course that covers:

- Python basics and advanced concepts

- Data structures, file handling, and web development

- Data analysis, visualization, and machine learning

- Django, Flask, and Python frameworks

- Real-world projects and case studies

VK Academy's course is designed for beginners and experienced professionals alike, and their expert trainers provide personalized attention and support. They also offer flexible batch timings, a free trial class, and a 100% placement guarantee.

[blech]

Automatic image tagging with Gemini AI

I used multimodal generative AI to tag my archive of 2,500 unsorted images. It was surprisingly effective.

I’m a digital packrat. Disk space is cheap, so why not save everything? That goes double for things out on the internet, especially those on third party servers, where you can’t be sure they’ll live forever. One of the sites that hasn’t lasted is ffffound!, a pioneering image bookmarking website, which I was lucky enough to be a member of.

Back around 2013 I wrote a quick Ruby web scraper to download my images, and ever since I’ve wondered what to do with the 2,500 or so images. ffffound was deliberately minimal - you got only the URL of the site it was saved from and a page title - so organising them seemed daunting.

A little preview- this is what got pulled out tagged "maps".

The power of AI compels you!

As time went on, I thought about using machine learning to write tags or descriptions, but the process back then involved setting up models, training them yourself, and it all seemed like a lot of work. It's a lot less work now. AI models are cheap (or at least, for the end user, subsidised) and easy to access via APIs, even for multimodal queries.

After some promising quick explorations, I decided to use Google’s Gemini API to try tagging the images, mainly because they already had my billing details in Google Cloud and enabling the service was really easy.

Prototyping and scripting

My usual prototyping flow is opening an iPython shell and going through tutorials; of course, there’s one for Gemini, so I skipped to “Generate text from image and text inputs”, replaced their example image with one of mine, tweaked the prompt - ending up with ‘Generate ten unique, one to three word long, tags for this image. Output them as comma separated, without any additional text’ - and was up and running.

With that working, I moved instead to writing a script. Using the code from the interactive session as a core, I wrapped it in some loops, added a little SQL to persist the tags alongside the images in an existing database, and set it off by passing in a list of files on the command line. (The last step meant I could go from running it on the six files matching images/00\*.jpg up to everything without tweaking the code.) Occasionally it hit rather baffling errors, which weren’t well explained in the tutorial - I’ll cover how I handled them in a follow up post.

You can see the resulting script on GitHub. Running it over the entire set of images took a little while - I think the processing time was a few seconds per image, so I did a few runs of maybe an hour each to get all of them - but it was definitely much quicker than tagging by hand. Were the tags any good, though?

Exploring the results

I coded up a nice web interface so I was able to surf around tags. Using that, I could see what the results were. On the whole? Between fine and great. For example, it turns out I really like maps, with 308 of the 2,580 or so images ending up with the tag ‘map’ which are almost all, if not actual maps, do at least look cartographic in some way.

The vast majority of the most common tags I ended up with were the same way - the tag was generally applicable to all of the images in some way, even if it wasn’t totally obvious at first why. However, it definitely wasn’t perfect. One mistake I noticed was this diagram of roads tagged “rail” - and yet, I can see how a human would have done the same.

Another small criticism? There was a lack of consistency across tags. I can think of a few solutions, including resubmitting the images as a group, making the script batch images together, or adding the most common tags to the prompt so the model can re-use them. (This is probably also a good point to note it might also be interesting to compare results with other multimodal models.)

Finally, there were some odd edge cases to do with colour. I can see why most of these images are tagged ‘red’, but why is the telephone box there? While there do turn out to be specks of red in the diagram at the bottom right, I’d also go with “black and white” myself over “black”, “white”, and “red” as distinct tags.

Worth doing?

On the whole, though, I think this experiment was pretty much a success. Tagging the images cost around 25¢ (US) in API usage, took a lot less time than doing so manually, and nudged me into exploring and re-sharing the archive. If you have a similar library, I’d recommend giving this sort of approach a try.

[jcmarchi]

Brain Drain: A.I. And Indies

New Post has been published on https://thedigitalinsider.com/brain-drain-a-i-and-indies/

Brain Drain: A.I. And Indies

Introduction

I woke up this morning and put on a white Hanes t-shirt mass-produced by a machine able to produce clothing at a rate no human ever could. But shirts like this used to be made by humans. While making coffee, I ask Siri on my iPhone what the weather will be like today and what my day’s schedule looks like, and a few seconds later, an artificial intelligence-powered voice gives me the answers I’m looking for. After sitting down at my work computer to write this, I opened Spotify and checked out my Discover Weekly playlist, hyper-curated to my tastes based on the other music I’ve listened to over the past week.

On Instagram, my ads feel uncannily targeted to me, and on X (formerly Twitter), I see a new batch of posters for Amazon’s upcoming Fallout streaming series called out for using A.I. None of this is possible without machine learning, which is what powers A.I. in other, more automated interactions some people use in their life and work, be it the chatbot ChatGPT, image creator Midjourney, or something else. But, as things like Siri, targeted ads, and curated playlists on Spotify settle A.I. into our lives in such a way we might not realize, there’s a war brewing between humans and A.I. (and the people developing it and advocating for it) in the games industry.

Caves of Qud uses Markov chains, a type of generative A.I., as a tool for statistical prediction

“We’ve elevated as a species – we have the idea of creative art as personal expression,” Brian Bucklew, co-creator of the popular sci-fi roguelike Caves of Qud, tells me. “Generative A.I. is extremely transgressive because it’s not only displacing jobs, it’s displacing humans from a space where we’ve decided, ‘This is about personal expression.’ We’re looking at it and saying, ‘Can [A.I.] be good art if there’s fundamentally no expression underlying it?’ Nobody has an answer to that. [A.I. in creative spaces like art] is totally new, and I don’t think we’ve reckoned with that at all.”

A.I. in Independent Spaces

A.I. in Independent Spaces

Bucklew is one of the many independent developers – solo and within studios outside the triple-A publishing machine – I spoke to about A.I. and its use and effect on game development. Bucklew’s Caves of Qud has been in development for more than 15 years. He says he’s watched functions and jobs previously held by humans get replaced by automation and A.I. throughout his career. Even things he used to code by hand are now automated in game development engines like Unreal. He also says Caves of Qud is in a sub-genre that explicitly uses generative systems.

“These aren’t [language learning models (LLMs)]; this is not Midjourney,” he says when I ask if he uses A.I. in the game’s development. “This is not some of the new attentional-based A.I. that is getting a lot of the press right now, but this is absolutely machine-based generative systems. So the answer is no if you’re asking if we use LLMs to generate code, but the answer is yes, we use, for example, Markov chains [generative A.I. that uses current events to analyze the predictability and production of subsequent events] to generate books. And these really aren’t that different except, again, in scope.”

He says LLMs and Markov Chains are different but that both are statistical predictors; the latter is more primitive than the former, however. In either use case, he says good results come from hand authoring on top of the generative use of A.I. Javi Giménez, the CEO of Moonlighter and Cataclismo developer Digital Sun, agrees, noting there is no top-down mandate at the studio to use A.I. but that various developers there use it as a tool alongside their creative output.

Cataclismo

“What has happened naturally is that some people at the studio – sometimes it’s artists, sometimes it’s programmers, sometimes it’s designers – use some of the tools for specific tasks,” Giménez tells me. “Some artists, for example, might be using it to create compositions based on images they already created to explore things fast. [What] I see is that professionals on the team are adopting A.I. as something that empowers them […] and that’s something happening naturally.”

Guillaume Mezino, founder and developer at Kipwak Studio, which is working on a 3D wizard school sim called Wizdom Academy, says he first made the use of generative A.I. programs like Midjourney mandatory. Instead of using Google Images to search for references to creatures for players to encounter, developers at Kipwak used Midjourney.

“I said to all my team members, ‘Try to use it as best you can in every way you can and let’s see where we can go from that,” he says. “After a few days, it was the best decision ever. The artists saw it as a good ally to help them make decisions and open their minds to new possibilities.”

Wizdom Academy

Of course, it’s important to note there’s an inherent relationship between Mezino, the studio’s founder, and the employees there that might prevent said employees from saying otherwise. After all, he mandated A.I. to begin with. Would these developers want to use A.I. of their own volition? Anecdotally, within the wider games industry, I’d say no.

When I ask Mezino about A.I. replacing jobs at the studio now or in the future, he says most of the work A.I. does for Kipwak is work that a human would never have done. For example, he says Wizdom Academy features a lot of artwork. “If I had to pay humans, if I had to pay people to do 150-plus artworks, we would have never been able to do it,” he says. Instead, someone at the studio used A.I. to create those artworks. I ask if Wizdom Academy would exist without A.I. He says it would – just not as fast or as good. There’d be less art, fewer conversations (also powered by A.I.) to have with teachers at the school, and overall, “We would have gone for something way simpler, so less appealing, and I don’t think anyone wants that.” But that begets another question: Do people want the version of this game that uses A.I.?

Wizdom Academy

Even though Giménez’s studio uses A.I. in its processes, he still feels there’s a legitimate concern about where A.I. gets its information from. He believes more substantial intellectual property and copyright legislation is necessary to protect human creatives. He doesn’t know the catch-all solution, though. Mezino says his team only gives A.I. work that people at the studio have created by hand.

“We are not comfortable with the idea of work being used to train A.I., work that was not paid for by companies,” Mezino says. “We do what we can and for us, it means we always have to give it what we do first – to give it our job, our work, and we ask it to do something with it, and we take it back and work on it again. That’s the best we can do.”

Mezino, like Giménez, wants to see stronger legislative protections placed on how A.I. is used to protect original artists.

Wizdom Academy

A.I. and Ethics

A.I. and Ethics

Hilary Mason, machine learning expert and CEO of A.I. entertainment start-up Hidden Door, agrees. She wrote a book, Data Driven, with the Obama administration’s chief data scientist, DJ Patil. It centers on this topic and the questions and methods those interested in using A.I. should adopt to do so ethically.

She’s not immediately concerned with A.I., adopting the mindset that humans are still in control. But 20 years from now, she understands why communities are worried. “It’s not unreasonable to imagine a future in which you can describe a movie you want […] and there wouldn’t be technical limitations in the way of it being created for you right there,” she says. “And it might actually be great. How do we, today, set up the foundation so that when we have that capability, we will value human energy and creativity?”

Hilary Mason, machine learning expert and CEO of Hidden Door, an A.I. entertainment startup, in a video for Wired

She says there are activists and communities big and small, loud and quiet, working to make this happen. But she also admits it’s impossible to know what A.I. and the surrounding conversation looks like 20 years from now. For her part, Hidden Door strictly licenses the properties and IPs it uses to bring A.I.-created D&D campaigns to users. Not ready to share specifics, Mason says Hidden Door is partnering with a number of fiction authors to make these campaigns happen. She envisions a world where someone could watch a new Star Wars movie and immediately go home and whip up a D&D campaign set within the movie’s world, laws, and physics using Hidden Door and its A.I. dungeon master. And it would do so ethically thanks to licensing agreements that ensure the right people get compensated and share Hidden Door’s revenue.

Of course, Star Wars might be a pie-in-the-sky property, but Mason is excited about some of the book authors already on board.

Bridging the Gap

Bridging the Gap

For someone like Cameron Keywood, founder, director, and solo developer at DragonCog Interactive, A.I. was the only way to turn his vision of a game into something people can play, he says. “I have used it in development, but that was from a budgetary point of view because I’m a start-up studio, and artists, while they do good quality work, are quite expensive for the work I am doing, which is a visual novel,” Keywood tells me of his upcoming sci-fi game, Baskerville, that reimagines 1902’s The Hound of the Baskervilles. “I needed 30 backgrounds and 18 characters, and that would have cost a lot. For projects like that, I think it’s okay.”

Keywood says he questions where A.I. gets its learnings from, and while he appreciates that A.I. has allowed him to create a game he can’t otherwise make, he’d prefer to hire an artist. But financially, it’s not possible for him. He ponders using A.I. to create something like Baskerville that could earn enough money for a future project where he hires artists to create the art. Ultimately, he hopes A.I. remains the assist tool he feels it is today, but he could see it going a more disruptive route that ends with humans losing jobs.

Matt Wyble, COO of Marvel Snap developer Second Dinner, positions A.I. in a similar vein. “[A.I.] is unlocking our ability to make experiences that we couldn’t have made before,” he tells me via email. “It’s not replacing team members but rather, empowering our small but mighty team to create like they never have before.” Wyble’s coworker and Second Dinner vice president of A.I., Data, and Security Xiaoyang Yang likens A.I. tools in the workplace to building a “mech suit” for developers.

Baskerville solo developer Cameron Keywood used A.I. as an assist tool for background art in the visual novel

“Imagine A.I. as this ally that can play Marvel Snap across countless scenarios, mimicking players of varying skill levels using decks of different archetypes,” Yang writes to me via email. “Overnight, the A.I. tool analyzes all the games played and generates insights on game balance, spotlighting overpowered elements or underutilized strategies, which is invaluable for designers. With this new ‘Mech Suit,’ designers no longer had to release a game, knowing it might have balance issues, relying on player data post-launch to make adjustments, which often led to suboptimal player experiences. Now, designers in this mech suit can significantly reduce these instances by identifying and addressing balance issues even before the game hits the market.

“It’s a protective, rather than reactive, approach to game balance, ensuring players get a more polished experience from day one.”

Baskerville solo developer Cameron Keywood used A.I. as an assist tool for background art in the visual novel

When asked how A.I. could disrupt creativity within game development, Yang says it’s crucial to remember that the human element is at the heart of every game. He posits that games without a human’s touch don’t have fantasy, achievement, emotion, storytelling, and connection.

“It’s like what [Apple co-founder Steve Jobs] said about computers being the bicycle of the human mind,” Yang says. “In today’s context, A.I. is the e-bike of human creativity in game development. It empowers designers to explore wild new ideas, pushing the boundaries of what’s possible in game design.”

Ultimately, he sees a future where progress in A.I. is not merely about leveraging technology for efficiency tasks like coding but also about embracing it as a tool and partner in the creative process. Of course, that line, the separation between a tool or partner and the loss of a job, grows thinner by the day. And in a world where executives continue to squeeze pennies on the dollar out of everything in game development, it’s not hard to see the day when leaders cross that line in the name of cost-cutting.

Kohlrabi Starship solo developer Katja Wolff opted not to use A.I. art or audio

Solo developer Katja Wolff of WolKa Studio, which is developing sci-fi farming sim Kohlrabi Starship, has primarily opted not to use A.I., even if she understands why someone in a position similar to hers might.

“I tried a lot of A.I. tools, but in the end, I decided not to use it beyond sometimes brainstorming,” Wolff tells me. “So basically, it’s zero A.I. art, zero A.I. audio, but sometimes I use ChatGPT for brainstorming in the English language because it’s not my mother tongue.”

As for why ChatGPT is as far as she’s gone with using A.I., she simply wasn’t impressed with the options for A.I. art and audio development, noting that programs like Midjourney can’t create the homogenized visual style one might want in their game. She thinks it’s a matter of time before these programs catch up, though. And as A.I.-powered technology grows more competent, she hopes legislators will work harder to protect creatives. She likes Steam’s approach: requiring developers to indicate A.I. usage on the game’s page but only after the developer proves the game doesn’t use copyright-protected data.

Kohlrabi Starship

Like Wolff’s use of ChatGPT, RoboSquad Revolution developer Zollpa utilizes the program to streamline the studio’s organization. CEO Aaron Jacobson says Zollpa uses ChatGPT to organize notes after meetings, something that might take hours to do by hand but is done in minutes by A.I. “It’s something that we probably would pay a secretary a full salary to do for us and [ChatGPT] is just able to do that, and in a very short period of time with just a few clicks of a button.”

That’s one secretary job lost to A.I. at Zollpa.

Kohlrabi Starship

He says it uses ChatGPT to brainstorm new character classes, weapons, and names for the robotic characters in RoboSquad Revolution, which began as a blockchain idea that uses NFTs before sentiment around that technology soured (and funding money largely disappeared in that sector) and the team scrapped the idea. Jacobson says that technology might be integrated into the game one day.

Jacobson says Zollpa built RoboSquad Revolution narratively on the premise of A.I. Twenty years from now, A.I. robots have taken over and are “walking versions of Siri or something like that,” that you control with third-person shooter gameplay. Jacobson says that despite using ChatGPT to brainstorm ideas that make their way into the game, “the development of the characters in the game is absolutely 100 percent created by humans,” except for the voices; those are created by A.I., which Jacobson justifies narratively by explaining the robots in-game are powered by A.I.

Looking 20 years into the future of our real world, Zollpa marketing and brand specialist Richard Henne thinks the game development landscape will be a lot more competitive because of A.I.

Robosquad Revolution’s robot characters are voiced by A.I.

“I imagine that bigger companies who are squeezing for over-the-top profits are going to try to use this for everything from character models to generative levels, which again is already happening, to voice – all that stuff, I’m sure is going to be attempted to be fully replaced,” Henne tells me during the same conversation he and Jacobson explain the robots in their game are voiced by A.I. “My hope is that companies do not fall for that. But if we’re actually talking 20 years from now, I do think it’s probably going to be a lot more of a competitive landscape, there will likely be layoffs, there will likely be protests and social movements, and I would be very surprised if this doesn’t happen.”

But like Mason, Giménez, and everyone else I speak to, Jacobson and Henne want to see stronger legislation created to help regulate A.I., a technology that, by all accounts of those I talk to, is one where Pandora’s Box has been opened. Unfortunately or fortunately, it’s here to stay, depending on where you fall in this conversation.

The Problem on the Horizon

The Problem on the Horizon

Bucklew feels the issue at the heart of the A.I. discourse, the rightful concern that people will lose jobs to the technology, strikes at a problem with society itself: We do not protect those affected. He says using copyrighted content to train A.I. models is unethical and should not be allowed – you should have to compensate users. “The other side of it, which is just using automated systems to replace human labor, that to me – whether or not that’s ethical – we’ve decided as a society that’s what we do, right?”

The shirt I put on this morning was once a product created by human hands until the Industrial Revolution in the 19th century turned it into a more automated process. People lost their jobs. But time advanced, and jobs were created around the new emerging markets, jobs that hopefully the jobless picked up. Bucklew says the same happened with car manufacturing, construction, and many other workforce sectors. With proper transition management, he thinks these massive changes in how society works can be smoother.

Cataclismo developer Digital Sun does not mandate use of A.I., but various individual developers use it as a tool to bolster their output

“I think we’re in the middle of a [transition] now, and so it’s extremely painful for a particular alignment of laborers who are visual artists, musicians, or voice actors,” he adds. “And they don’t have a job to go to, and we don’t have any kind of safety net in society to say, ‘Well, you’re going to be fine. We’re going to allow you to move to this new constellation of labor,’ but nothing’s going to stop this constellation of labor. [The] cynical business lines of force are going to force that new constellation of labor because everyone else will simply not be able to do business on a competitive level without it.”

Cynically, Bucklew is not confident the cat can be put back into the bag, though. And he’s not confident we’re adequately prepared for the A.I. transition we’re barreling toward. He ponders whether we should focus more on what happens afterward when people lose their jobs rather than what’s happening today.

Caves of Qud

“To the extent that we allow capital to drive these systems, I don’t think there’s any route where all the labor that can be replaced by automated systems isn’t replaced by automated systems, and the questions we’re going to have to be asking in 5 or 10 years are ones that just seem bizarre to us,” he says. “[That’s] obviously disastrous for the way society’s stood up right now, where you should have a job and pay your bills with the money you earn.

“I think that alignment is failing quickly and will fail more quickly than we can figure out how to get people into new jobs. And so, we have a real problem over the next 50 years as these systems continue to take off.

This article originally appeared in Issue 365 of Game Informer.