#Artificial Intelligence (AI) Size

[vampiremotif]

hold on im curious

bonus points if you want to mention what context you use ai in (work, school, personal, etc)

[morerichka8]

November, 2024 @morerichka

[pale-opal]

Something that's been on my mind for a while is that a lot of artists have been struggling to find programs that work with their budgets. Adobe's prices are... infamous, to say the least, and there seems to be a sharp learning curve for the more affordable options. And if you're like me, you might not feel comfortable with pirating to get an art program that is out of your price range. So here's a list of free art/editing tools. Any options without links are either mobile apps or can only be downloaded on Macs: Options without ads or watermarks:

FireAlpaca (notes: while this is an art program at heart, it can also be used as basic photo editing software once you get the hang of it. There is also a blog dedicated to tutorials on how to use FA in case you get stuck)

Medibang (note: the aforementioned FireAlpaca blog has some information on this software as well)

Krita (note: also available as an app for android and Google devices)

Storyboarder (notes: not to be confused with "Storyboarder.AI". While this program does require your email address before downloading, it is safe to use as far as I know (but please use caution regardless))

Pixilart (notes: link leads to browser version, also available as a mobile app)

Audacity (notes: apparently, the company behind this software, Muse Group, have also created a separate, subscription-based AI-voice program. I am unsure if it uses AI in a way that is generally considered to be ethical, like SynthV does, or if it follows the trends typically expected of those kinds of applications. The reason that I include this information is that I want to give everyone the ability to make an informed decision about whether or not they want to use anything from Muse Group, as I know many users on this site are anti-AI. However, I also know that some of those users wouldn't mind using Audacity since downloading it wouldn't be giving Muse Group monetary support - hence why the program is staying on the list.)

Clipchamp (notes: there are also paid tiers for this program. It is also available in-browser and as an iOS app. Furthermore, please be aware that there are some optional features that use AI)

iMovie (note: also available as a mobile app on iOS devices)

DramaQueen (notes: this is a software used to write scripts for plays, movies, etc. While it does require you to fill out some information before downloading, as far as I am aware, it is safe to use (but as always, use your own discretion))

Options that do have ads, watermarks, or microtransactions

ibisPaint X

Sketchbook (notes: formerly known as "Autodesk Sketchbook". PC and Mac versions do exist, but you have to pay to download them)

Medibang Paint

Capcut (note: has optional AI tools).

Be sure to check what system requirements are necessary for each program, and be aware of their limitations before downloading (for example, many users report Clipchamp has a tendency to crash, while others seem to be able to use it fine). Also, please feel free to add on to this. I know I haven't even scratched the surface here, as I tried to stick to software that I've either heard of extensively or have used personally.

[ai-image-dump]

[amrutmnm]

The Artificial Intelligence (AI) in Military Market is estimated to be USD 9.2 billion in 2023 and is projected to reach USD 38.8 billion by 2028, at a CAGR of 33.3% during the forecast period according to a new report by MarketsandMarkets™. The driving factor for the AI in military market is increase investments on development of AI-enabled solution to strengthen military capabilities, development of high-end AI chips, and need for advanced surveillance systems and situational awareness.

[m0jitosss]

I changed the phone's default keyboard a few months ago and am still trying to tame it

[samsimisauser]

Also about "Feeding the Ai" that's not a thing.

Unless you have tens of millions of words that were previously not stored anywhere on the internet, and are now feeding them to the Ai, you are not adding to the data in any meaningful way.

If you found any text online (e.g. unlocked works on AO3) you are especially not feeding anything because it already had access to everything on there.

oh I wasn’t aware it was feeding the ai. I’ve inserted hundreds of fics into chatgpt for their continuation or for a different plot within the same context just for fun and out of curiosity… but I’ve never posted any of them…

Indeed, anything that is given to AI it can use later to draw from. That's why it doesn't matter if you post them or not as it has now access to those writers' texts without their permission.

~Mod L

[riya2510]

Artificial Intelligence (AI) Share, Size, Growth, Trends, Revenue during Forecast

Leading Forces in the Artificial Intelligence (AI) Market: Forecasts and Key Player Insights Through 2032

This Global Artificial Intelligence (AI) research report offers a comprehensive overview of the market, combining both qualitative and quantitative analyses. The qualitative analysis explores market dynamics such as growth drivers, challenges, and constraints, providing deep insights into the market's present and future potential. Meanwhile, the quantitative analysis presents historical and forecast data for key market segments, offering detailed statistical insights.

According to Straits Research, the global Artificial Intelligence (AI) market size was valued at USD 92.7 Billion in 2021. It is projected to reach from USD XX Billion in 2022 to USD 1596.86 Billion by 2030, growing at a CAGR of 37.2% during the forecast period (2022–2030).

Who are the leading companies (Marketing heads, regional heads) in the Artificial Intelligence (AI) 

Advanced Micro Devices

Aicure, Arm Limited

Atomwise, Inc.

Ayasdi Ai LLC

Baidu, Inc.

Clarifai, Inc

Cyrcadia Health

Enlitic, Inc.

Google LLC

Ai.

Hyperverge, Inc.

International Business Machines Corporation

IBM Watson Health

Intel Corporation

Ai As

Lifegraph

Microsoft

Nvidia Corporation

Sensely, Inc.

Zebra Medical Vision Inc

We offer revenue share insights for the Artificial Intelligence (AI) Market, covering both publicly listed and privately held companies.

The report integrates comprehensive quantitative and qualitative analyses, offering a complete overview of the Artificial Intelligence (AI). It spans from a macro-level examination of overall market size, industry chain, and market dynamics, to detailed micro-level insights into segment markets by type, application, and region. This approach provides a holistic view and deep understanding of the market, covering all critical aspects. Regarding the competitive landscape, the report highlights industry players, including market share, concentration ratios, and detailed profiles of leading companies. This enables readers to better understand their competitors and gain deeper insights into the competitive environment. Additionally, the report addresses key factors such as mergers and acquisitions, emerging market trends, the impact of COVID-19, and regional conflicts. In summary, this report is essential reading for industry players, investors, researchers, consultants, business strategists, and anyone with a stake or interest in entering the market.

Get Free Request Sample Report @ https://straitsresearch.com/report/artificial-intelligence-market/request-sample

The report integrates comprehensive quantitative and qualitative analyses, offering a complete overview of the Artificial Intelligence (AI) markets. It spans from a macro-level examination of overall market size, industry chain, and market dynamics, to detailed micro-level insights into segment markets by type, application, and region. This approach provides a holistic view and deep understanding of the market, covering all critical aspects. Regarding the competitive landscape, the report highlights industry players, including market share, concentration ratios, and detailed profiles of leading companies. This enables readers to better understand their competitors and gain deeper insights into the competitive environment. Additionally, the report addresses key factors such as mergers and acquisitions, emerging market trends, the impact of COVID-19, and regional conflicts. In summary, this report is essential reading for industry players, investors, researchers, consultants, business strategists, and anyone with a stake or interest in entering the market.

Global Artificial Intelligence (AI) Market: Segmentation

By Data Type

Image

Video

Text

Sound

Time Series

Point Cloud

By Solutions

Hardware

Software

Services

Technology

Deep Learning

Machine Learning

NLP

Machine Vision

By End-User

Healthcare

BFSI

Law

Retail

Advertising and Media

Automotive and Transportation

Agriculture

Manufacturing

Explore detailed Segmentation from here: @ https://straitsresearch.com/report/artificial-intelligence-market/segmentation

The report forecasts revenue growth at all geographic levels and provides an in-depth analysis of the latest industry trends and development patterns from 2022 to 2030 in each of the segments and sub-segments. Some of the major geographies included in the market are given below:

North America (U.S., Canada)

Europe (U.K., Germany, France, Italy)

Asia Pacific (China, India, Japan, Singapore, Malaysia)

Latin America (Brazil, Mexico)

Middle East & Africa

This Report is available for purchase on Buy Artificial Intelligence (AI) Market Report

Key Highlights

To explain Artificial Intelligence (AI) the following: introduction, product type and application, market overview, market analysis by countries, market opportunities, market risk, and market driving forces

The purpose of this study is to examine the manufacturers of Artificial Intelligence (AI), including profile, primary business, news, sales and price, revenue, and market share.

To provide an overview of the competitive landscape among the leading manufacturers in the world, including sales, revenue, and market share of Artificial Intelligence (AI) percent

To illustrate the market subdivided by kind and application, complete with sales, price, revenue, market share, and growth rate broken down by type and application

To conduct an analysis of the main regions by manufacturers, categories, and applications, covering regions such as North America, Europe, Asia Pacific, the Middle East, and South America, with sales, revenue, and market share segmented by manufacturers, types, and applications.

To investigate the production costs, essential raw materials, production method, etc.

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About Us:

StraitsResearch.com is a leading research and intelligence organization, specializing in research, analytics, and advisory services along with providing business insights & research reports.

Contact Us:

Email: sales@straitsresearch.com

Address: 825 3rd Avenue, New York, NY, USA, 10022

Tel: +1 6464807505, +44 203 318 2846

[trendingreportz]

Artificial Intelligence (AI) in Collaborative Robotic (Cobots) Systems Market - Forecast(2024 - 2030)

AI in Cobots Market Overview

The global AI in cobots market in 2021 reached $118.2 million and is estimated to grow at a CAGR of 34.22% during the forecast period to reach $616.3 million by 2027. The entire robotics industry is witnessing the effects of Covid-19 pandemic, with strain felt on the supply chain restricting parts of imports and equipment exports in H1 2021 especially. The overall economic uncertainty also pushed majority of customers to defer purchases in order to conserve capital. Recent advancements in Machine Learning and human robot interaction have enabled collaborative robots to precisely execute tasks in dynamically changing workspaces, enabling operations and material handling to run more smoothly, efficiently and productively. AI is now intelligently powering cobots by leveraging billions of hours of iterative machine learned practices in manufacturing, production and engineering. Collaborative robots (cobots) represent a variant of industrial robots and is currently considered to be one of the fastest growing segments in industrial automation driven by improved technology such as virtual assistants, cloud computing, internet of things. A cobot is a type of robot that is designed to operate alongside humans in shared workspaces. These machines are easy to program and deploy, can increase productivity manifold, and offer high returns on investment.

Report Coverage

The report: “AI in Cobots Market – Forecast (2022-2027)”, by IndustryARC covers an in-depth analysis of the following segments of the AI in Cobots market

By Payload: Up to 5 Kg, 5 to 10 Kg, Above 10 Kg. By Application: Handling, Assembling/Disassembling, Welding and Soldering, Dispensing, Packaging and Others. By End User: Automotive, Electronics, Semiconductor, Plastics and Polymer, Food and Beverage, Healthcare, Metals and Machining and others. By Geography: North America (U.S, Canada, Mexico), South America (Brazil, Argentina and others), Europe (Germany, UK, France, Italy, Spain, Russia and Others), APAC (China, Japan India, SK, Aus and Others), and RoW (Middle east and Africa).

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Key Takeaways

Group PSA’s Sochaux plant in France has chosen Universal Robots UR10 for its "Plant of the Future" Project. Two UR10 cobots have been implemented at the Sochaux plant in screw driving applications on body-in-white assembly lines to increase performance and reduce production costs at the factory.

In 2019, Walmart has planned to invest $2.7 billion to add new robots totaling almost 4,000 robots in its stores and facilities in order to shift human workforce to customer service roles. The robots are majorly used for scanning, sorting goods from delivery trucks. This is set to create opportunities for AI in cobots in retail sector.

AI in Cobots Market Segment Analysis – By Application

Material Handling had a major share in the AI in Cobots Market with a value share of approximately 22.3% in 2021. Material handling is one of the major applications of industrial robots. Robots in material handling segment are used in applications such as movement of goods, protection, storage and control of products throughout manufacturing as well as warehousing of the products. Any industries that need to store, receive, dispatch or ship its products always entail industrial robot. Manufacturing and Warehouse operations involving handling of goods becomes complex when it takes place at a larger scale. This is made easy and efficient with the aid of industrial robots. Material handling robots are majorly used in warehousing applications as compared to its counterpart. Material handling applications that benefit from the incorporation of AI cobots encompass picking, packing, palletizing, sorting, and more. The wide-ranging use of these applications makes them a more site-specific solution for safety implementation. Operators and other workers are often moving or transporting other materials around the AI cobot, requiring additional planning to avoid hazardous contact. Safety-rated grippers are rare in the market at the present time. Currently, manufacturers typically use pneumatic grippers, which require safety considerations for impacts and the loss of power or suction. Uses of bar code, RFID, voice-activated receiving and packaging, pick-to-light technology, transportation management system is some of the drifts observed by material handling robots. Cycle counting, annual, physical and perpetual are few approaches of keeping a track of inventory.

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AI in Cobots Market Segment Analysis – By End User

Among industries, automotive held the largest share in 2021 at 23.2%. The industry development of AI cobots is ongoing in several different areas. Faster reaction time, more exact movement patterns, orientation capabilities, capabilities in imitating humans – all these aspects contribute to advancements in AI driven cobot development. In addition, brain-computer interfaces is an exciting area that has made significant progress recently. In recent developments in technologies such as linked data, parallel processing, edge computing and distributed artificial intelligence allow for efficient decision making by cobots, making execution robust and efficient. A challenge with the market deployment of AI cobots is that insufficient technology maturity hinders the market deployment of cobots. AI Cobot technology includes hardware design, sensors and actuators, efficient information processing, video processing, planning and multiple of fields from artificial intelligence landscapes, along with technologies that ensure safety, predictability and security of the solution. There is currently a need for high amount of signaling, bandwidth, low latency, and fast decision-making capabilities through efficient computing for AI driven cobots in safety-critical environments, wherein the facilities do not need human intervention. While the automation industry was affected during the pandemic, the longterm outlook for automation is positive, as end users evaluate their reliance on overseas supply chains and reevaluate their operations in a world where a pandemic can stop production cold. Automation is hence being looked upon as a valuable bulwark against the risks laid bare during the pandemic, and this can act as a strong growth driver for AI driven cobots and robots in industrial automation end user verticals.

AI in Cobots Market Segment Analysis – By Geography

Geographically, APAC held major share of 37% of AI in cobots market share in 2021, owing to high adoption of automation technologies in industrial and automotive warehouses and increasing investments and funding. North America is the next largest market with 33% revenue share in 2021. South America is witnessing the fastest growth rate with a CAGR of around 46.6% during the forecast period 2022 – 2027 owing to high investments and growing deployment of automation technology mainly in the countries such as Brazil, Argentina and Colombia. Portuguese company MOV.AI has announced in October, 2020 that it has raised $4m in funding. The company has designed its ROS for manufacturers of cobots, as well as academics and automation integrators. It also contributes to the ROS community. Some of the robots with AI enabled are YuMi from ABB, Franka Emika Panda, APAS from Bosch, Aura, Aubo, NEXTAGE and CORO etc.

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AI in Cobots Market Drivers

Growing demand for automation and technological advancements set to drive the AI In Collaborative Robotics Market

There has been significant growth in AI driven collaborative robotics market owing to the increased demand for automation, high competition in the e-commerce industry, and the advancement in technologies such as Internet of Things (IoT) and Artificial Intelligence (AI). The use of robots reduces the risk of injury to workforce has also witnessed growth. Integration of robots with artificial intelligence (AI) and machine vision technology has been assisting companies in obstacle detection, navigation, movement of the goods. This has been attracting vendors in automating the warehouses and installing the robots in warehouse, thereby driving the collaborative robotics market. In 2019, Geek Plus Robotics, an intelligent logistics robot solution provider had launched the world’s first interweaving sorting robot, which could be an alternative to conveyor systems. Mobile Industrial Robots (MiR), a leading manufacturer of collaborative mobile robots launched a new warehouse robot to automate the transportation of pallets and heavy goods across warehouses. Development of new robots for various applications of warehouses set to boost the demand of collaborative robotics market.

Growth in E-Commerce Sector

E-Commerce industry is rising at global level of retail and logistics. As a result, growing number of e-commerce companies look forward to automate warehouses. Warehouse robots play a key role in e-commerce industry for various applications such as automated storage and retrieval, picking and placing, order fulfillment operations and many others. Adoption of warehouse cobots by e-commerce companies helps in reducing operational and logistical costs and save on delivery time. This has been increasing automation in warehouses in order to deliver goods to shoppers in faster and more efficient ways by increasing productivity of supply chain. In developed countries such as the U.S., and Canada, Grocery retailers are focusing on deploying robots that bring the shelf stacks to human workers, who pick out the right products and package them up to be sent out. These robots travel with high speed, faster than humans, thereby increasing efficiency of the work. In 2019, Amazon had introduced new warehouse cobots in several of its U.S. warehouses that scan and pack items to be sent to customers. It has started using robots in warehouses, which scans goods coming down a conveyor belt raising the scope of adoption. In 2020 Covariant.ai launched its AI robots and solutions through its warehouse bin-picking robots which is being used by companies such as Knapp, a warehouse logistics company and Obeta, a German electronics retailer. As per estimates, around 2,000 AI powered robots have been deployed across warehouses globally.

AI in Cobots Market Challenges

High Initial Investment

The initial cost of AI driven collaborative robots that are used in factories are high as the cost of automation is much higher in comparison with labor costs. This prevents most companies from completely automating their operations with robots. The average selling prices of cobots vary from $25,000 to $50,000 and does not include the installation costs. In addition to this, there is a training cost associated with the robots that further restricts the operators’ likeability for integrating robots into their operating lines. Slow deployment of collaborative robotic systems by smaller and medium enterprises hampers the robotics market. However, high labor costs are set to drive the collaborative robot market during forecast period.

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AI in Cobots Market Landscape

Technology launches, acquisitions, and R&D activities are key strategies adopted by players in the AI in Cobots market. In 2021, the market of AI in Cobots market has been consolidated by the top players

Fanuc

Techman Robots

Rethink Robots

AUBA Robots

ABB

Kawasaki

KUKA

Yaskawa

Staubli

Universal Robots

Recent Developments

In May 2019, the government of Saudi Arabia announced an investment of $30 billion to upgrade warehousing facilities by adoption of the advanced autonomous robots in the newly built warehouses across Saudi Arabia, thereby contributing towards the growth of the cobots market during forecast period in this region.

In October 2019, the South Korean government announced an investment $150 million to develop the intelligent robots for various industrial application which includes warehousing and logistics, thereby enhancing the growth of the cobots market.

[levia-kun]

One of the most dangerous thing about AI is the bias laundering into the false "objective" truth. Because it's not true that those AIs are neutral or objective in anyway kind or shape and not recognising the bias is incredibly dangerous. Because by filtering the bias through the machine, it's easy to present it as the truth calculated by the unfeeling machine. And existing negative bias will be laundered into an objective truth.

The reason this bias exists, is because databases those AIs are trained on are collected and created by humans. This will lead to them inherently being biased.

Let's use 1 + 1 = 2 as example So obviously 1 + 1 = 2 is always true, right?

Now we change to formular by saying x + x = 2x No objections so far.

So, what is x? In math you can define x as any number or give it a criteria and proof it to be true. But if we expend the definition of x beyond just number or ties to math, what'll happen?

Let's define x as any fruit, then the logic is 1 fruit + 1 fruit = 2 fruits What fruit doesn't matter, we just want to determine the amount of fruits total. So, what's a fruit then? Do we qualify tomatoes? what about zucchini, olives and avocados?

Depending on person a zucchini and tomato are two, one or no fruits. And despite x + x = 2x being a correct operation, results vary so wildly, because the database x, can vary to person to person.

This is no different for AI, because the database itself has been collected and labeled by humans. The bias of who made the database will always be present.

For AI work, data has to be labeled and put into categories. Obviously a picture of a cat will be labeled cat, maybe the colour of the cat, fur pattern etc. Additionally the person can tag it as "cute", which is a more subjective measurement, especially when it's kittens.

So. uhm, What when we apply this principle for humans?

Like queer people get tagged inherently sexual. Lesbians get an additional "hot" label, bisexuals "cheater", gays "feminine" etc. Attractive woman is tied to terms like "pale skin, thin, big breasts, natural beauty (but it's full make up still)" and "undesirable demographic" get tags with negative connotations all over the place.

Then what about the quantity and ratio of data presented? If more than 50% are white, and majority men, how is that not disproportionate? When in many studies the amount of non white is so little, they don't get categorised as their individual ethnicities, but summed up as "non white".

How the fuck is that not bias talking?

Even now, despite open AI scraping the internet in its ethically dubious fullest , has it's own database still to remove CSAM, gore Because it doesn't want the AI to even know and generate it, not because it would be unethical to use those pictures. (which they use underpaid workers for that get traumatised in teh process btw) Yet they can't do the same to curate ratios and check their other biases?

So taking all that into account, it's so, so fucking important to stress, that AI is not objective. It trains on databases carrying the creator's bias, subconciously or not.

It's not some objective machine calculating. It's calculating through the bias of its data.

Machine didn't create itself

Humans did.

[marketreports-blog]

The U.S. artificial intelligence (AI) market size was estimated at USD 37.01 billion in 2023 and is projected to hit around USD 369.34 billion by 2033, growing at a CAGR of 28.83% during the forecast period from 2024 to 2033.

[ai-image-dump]

[laxmandige05]

In the rapidly growing field of global artificial intelligence (AI) in life sciences market size was valued at USD 1.72 billion in 2023 and is projected to reach USD 8.92 million by 2032, growing at a CAGR of 20.1% from 2023 to 2032 according to a new report by Nova One Advisor.

[luckydige45]

The global artificial intelligence (AI) in renewable energy Industry size was exhibited at USD 10.20 billion in 2023 and is projected to hit around USD 117.72 billion by 2033, growing at a CAGR of 27.71% during the forecast period of 2024-2033.