#IGX

[operationhammond]

Operation Hammond will be providing first aid at Iron Gate Exhibition’s Fall event in Fremont, NH September 20th-22nd. IGX is New England’s largest HEMA (Historical European Martial Arts) event, & always a fun weekend. 

For more on IGX, check out  www.irongateexhibition.com  , & be sure to follow their social media! 

As always, to learn more about our charitable mission and how you can help nerds in need, please visit our website at www.operationhammond.com

[igxfest]

Level Up at IGX Fest: India’s Ultimate Gaming Playground Gear up, gamers! IGX Fest at Nesco, Mumbai is where the action is. This isn’t your regular expo; it’s a full-blown gaming celebration.

[igx-bitsy]

And so, with Maya as his companion and guide, Alex's journey of finding oneself reached new heights. The world became a canvas for exploration, and the beauty of human diversity became a testament to the limitless potential of the human spirit.

[dr-doofus]

IGX😍😍😍🥰😍🥰🥰🥰🥰🥰🥰

I follow this lady on instagram who rescues cats, and i have been thinking about this video for literal months. behold the transformation of this wretched little beast

(x)

[govindhtech]

LatentAI: Industrial Edge AI With Dell And NVIDIA Hardware

LatentAI: Using NVIDIA and Dell AI to Boost Edge AI. What is the connection between driverless cars, military activities, and oil rigs?

What is the connection between autonomous machines and oil rigs? They both deploy on-site AI solutions in situations where access to cloud networks is restricted or nonexistent, which may sound like a poor preamble to a joke.

Waiting for data to reach a cloud resource hundreds of kilometers distant is impracticable, whether you are developing AI models in demanding conditions or monitoring equipment on an oil rig located far offshore. By enabling real-time data processing at the source and providing quick and effective operations where they’re most required, LatentAI, a firm that specializes in edge AI, helps address this issue.

Industrial Edge AI’s Challenge: On-Site, Real-Time Processing

Consider an oil rig, where safety requires continuous monitoring of analog instruments. Data must be gathered and analyzed promptly away to avoid dangerous situations or expensive equipment breakdowns. The issue? High-bandwidth internet connections are becoming more limited as these rigs move farther offshore. Delays might result in failure or more downtime if that data is sent to the cloud for analysis.

These are the types of settings where industrial edge AI flourishes, where an operation’s success or failure depends on real-time adaptability and decision-making.

Why Industrial Edge AI Needs Purpose-Built Hardware

The proper infrastructure is necessary for industrial edge AI to operate, particularly in settings with computational and physical difficulties. As previously stated, cloud solutions are sometimes unworkable in the field, particularly for situations with limited resources and ruggedness. With its technology, LatentAI overcomes that limitation by designing, refining, and implementing the most effective AI models on specialized edge hardware. Processing at the data, not simply close to it, is necessary for industrial edge solutions.

Through compilation and compression, the LatentAI Efficient Inference Platform (LEIP) technology lowers the computational and storage requirements for AI models. This procedure reduces the size, speed, and energy consumption of the models without compromising their accuracy.

Additionally, LEIP uses all available hardware acceleration to optimize the model and increase inference performance. LEIP handles the compilation process to create an AI runtime for on-site inference, or it may execute the AI model on conventional CPU-only hardware if a GPU is available. With NVIDIA RTX Ada Generation GPUs and the NVIDIA IGX Orin and NVIDIA Jetson platforms for industrial edge AI applications, LEIP operates on conventional x86-based workstation computers.

LatentAI evaluated LEIP technology on the Precision 5690 with the NVIDIA RTX 5000 Ada Generation Laptop GPU, and found that it performed up to 300 times quicker than CPU training with the most accurate (slowest) recipe, Yolov8.

LatentAI makes it possible for effective AI deployment in practical settings by concentrating on hardware model improvement.

Bringing AI to the Edge

Matching the best model with the right devices is the key to successful AI deployment. Additionally, the hardware must be just as capable as the software in settings like manufacturing floors or oil fields.

This is the market segment for tough gadgets. These gadgets, which fall into the semi-rugged or totally rugged categories, are made to withstand harsh environments. Specifically, fully robust gadgets are designed to withstand harsh environments without sacrificing performance. The Pro tough 13, Latitude 7230, and Latitude 7030 offer fully tough laptop and tablet options.

This means these devices have been MIL-STD 810G drop, shock, and vibration tested. They also have an IP65 rating for dust and water tight sealing. Other features like glove-compatible touchpads, screens with up to 1400 nits of backlight to ensure viewability in direct sunlight, dual hot-swappable batteries, and a powerful CPU setup help ensure your technology meets your needs when on an oil rig or in other harsh environments.

These robust laptops and tablets, when combined with LatentAI’s LEIP and edge processing capabilities, may cut down your training time from months to minutes.

A Collaboration for the Future of Industrial Edge AI

In collaboration with Dell and NVIDIA, LatentAI optimizes the hardware’s computing power, which is necessary for on-site settings where traditional solutions are insufficient.

Industries have changed as a result of the internet. The way choices are made in real time on the ground is now being redefined by edge AI. Even in the most distant or dangerous situations, LatentAI is developing systems that analyze data locally, bypassing cloud infrastructures.

Read more on govindhtech.com

[postsofbabel]

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[7ooo-ru]

Opera представила ИИ-обновления и новые функции для браузеров Opera One и GX

Opera решила интегрировать ИИ-технологии и удобные функции в свои продукты. На мероприятии Opera Browser Days компания анонсировала обновления для браузеров Opera One и GX. Директор по продукту Opera, Йоанна Чая, заявила, что опыт использования браузеров изменится в течение двух лет благодаря ИИ.

Подробнее https://7ooo.ru/group/2024/09/29/389-opera-predstavila-ii-obnovleniya-inovye-funkcii-dlya-brauzerov-opera-one-igx-grss-345109317.html

[operationhammond]

Operation Hammond is happy to announce that we’ll be providing our first aid services this weekend (June 1st and 2nd) at Iron Gate Exhibition’s first ever spring event in Danvers, MA. IGX has been one of our partner events for over a decade, and we’re excited to be part of this expansion. 

For all things IGX, check out www.irongateexhibition.com , and be sure to follow their social media!

As always, to learn more about our charitable mission and how you can help nerds in need, please visit our website at www.operationhammond.com

[hanginwithmaryjane]

TajjtagJJFagtwjtwjwtbqrnaf kar kaf kark ar ark kar kark adi sfi igx izf iF izgi sfi afivsgi idk iadviaf izgi.sgisig iadviaf iFi sfi sfi usgusg.udgusgiadu arucCixafu Uc izf izf uzgi.zgi sgi dig signidh hd

[igx-bitsy]

Through the depth of their friendship, Alex found that true self-discovery extended beyond personal boundaries. It flourished in the connections forged with others, in the shared experiences that shaped their lives.

With Maya by his side, Alex's self-discovery became a symphony of growth, love, and acceptance. Together, they reveled in the beauty of human connection, celebrating the fact that each person they encountered had their own unique story to share. He realized that the richness of life lay not only in his own introspection but also in the embrace of diverse perspectives and the infinite possibilities that arose from genuine connections.

[newcountyinvestigator]

+1 anon

howdy partner!!! hows your inbox doing?

I dont know. Fine IGx

[govindhtech]

NVIDIA IGX By Hitachi Rail AI Real-Time Railway Analysis

Hitachi Rail Enhances Real-Time Railway Analysis with High-Speed AI Utilizing NVIDIA Technologies.

Nvidia IGX Platform

The international transportation firm is using NVIDIA IGX, the industrial edge computing platform that is enterprise-ready, to enhance train operations and save maintenance and energy expenses.

With the goal of lowering maintenance costs for rail operators, cutting down on train idle time, and enhancing passenger transit dependability, Hitachi Rail, a multinational transportation firm that powers railway networks in over 50 countries, is integrating NVIDIA AI technology.

HMAX

In order to handle sensor and camera data in real time, the business is integrating NVIDIA IGX, an industrial-grade, enterprise-level platform, into its new HMAX platform. This platform offers high-bandwidth sensor processing, sophisticated AI computing, functional safety features, and enterprise security.

The HMAX platform will help Hitachi Rail customers identify train tracks in need of repair, follow the deterioration of overhead power lines, and evaluate the condition of trains and signaling apparatus more swiftly by eliminating the lag time between data collection and processing.

According to Hitachi Rail, preventive maintenance is around seven times less expensive than emergency repairs made when infrastructure breaks down without warning. By lowering fuel expenses at train depots by up to 40%, its current AI monitoring systems are already reducing energy usage by up to 15%, service delays by up to 20%, and train maintenance costs by up to 15%.

The business hopes to further boost these savings with real-time analysis utilizing NVIDIA IGX and NVIDIA Holoscan platform for sensor processing.

AI Engine Runs in Real Time with NVIDIA IGX

Hitachi Rail has utilized NVIDIA IGX and the NVIDIA AI Enterprise software platform to develop new accelerated AI applications to assist operators in monitoring train fleets and infrastructure. These applications build upon the company’s current collection of HMAX applications, which are currently operating on data from 8,000 train cars on 2,000 trains. To make the creation and implementation of production-grade AI applications more efficient, NVIDIA AI Enterprise provides tools, pretrained models, and application frameworks.

These apps, which will be made accessible shortly via the HMAX platform, will enable the company’s global clientele to handle massive amounts of data that are sent from train sensors, imported from third-party software that the client currently uses, or pulled from current systems.

For instance, every Hitachi Rail train in the United Kingdom contains sensors that provide information on about 50,000 data points as often as every fifth of a second. When a train or rail line component requires repair, AI technology that keeps up with this data flow can notify train operators in a timely manner. A chatbot interface is another way that operators may get the AI insights, which make it simple for them to see patterns and chances to improve maintenance schedules among other things.

Creating Long-Term Benefits

The potential extend beyond rail and train surveillance

Hitachi Rail can monitor power lines above to detect deteriorating electric wires and assist in preventing disruptive breakdowns by installing cameras atop trains. Processing one day’s worth of video footage recorded by the train often takes up to ten days. Data may be analyzed in real time at the edge using NVIDIA-accelerated sensor processing, returning only pertinent information to operational control centers for analysis and decision-making.

Nvidia IGX Orin

NVIDIA IGX Orin AI platform for industrial edge that is ready for enterprise use. The NVIDIA IGX platform combines enterprise-grade hardware, software, and support to provide edge AI capabilities suitable for industrial use. With its robust AI computing, high-bandwidth sensor processing, enterprise security, and functional safety, it is specifically designed for use in industrial and medical settings. Together with NVIDIA AI Enterprise and a maximum of ten years of maintenance, the platform allows you to safely and securely provide AI to facilitate cooperation between humans and machines.

Better Performance in Industrial-Grade Systems with NVIDIA IGX Orin

With two production versions, you can build NVIDIA-certified complete systems while getting blazing-fast performance in the size and power envelope required for the edge. The world’s most powerful AI computer for energy-efficient autonomous machines, the IGX Orin 700, comes in a MicroATX board kit with an NVIDIA ConnectX-7 smart network interface card for accurate timing and fast data streaming. A System-on-Module (SOM) for specialized carrier board solutions with optional functional safety measures is the IGX Orin 500.

AI Enterprise IGX: Software of the Enterprise Class for AI Mission-Critical

This enterprise-grade edge AI software solution is designed specifically for NVIDIA IGX Orin-powered mission-critical applications. IGX OS, AI frameworks, SDKs, libraries, and long-term corporate support are all part of the software stack that it offers unparalleled performance, security, stability, and enterprise support. Best-in-class security, safety, and support are therefore guaranteed. The software stack incorporates a board management controller that comes with IGX for remote software upgrades and system administration.

Nvidia IGX Orin Developer Kit

The NVIDIA IGX Orin Developer Kit accelerates edge AI application development with a chassis and power supply for high-performance, industrial-grade edge AI.

Read more on govindhtech.com

[linyirouyirou]

太陽城娛樂城現金版解密！全面檢視是黑網還是優質娛樂城！

太陽城娛樂城是不是很多人都又聽說過呢?不管有沒有玩過線上娛樂城，遊玩前先了解娛樂城的評價是十分重要的，但是要如何辨別一家娛樂城的優劣呢？還有近來關於太陽城現金版被指控詐騙黑網的傳聞，真實性究竟如何呢？跟著小編一起看下去吧！

太陽城娛樂城是詐騙黑網嗎？被同業抹黑的優質娛樂城！

經過小編的調查發現，在疫情嚴重的時期，許多不肖的黑網娛樂城紛紛湧現，透過廣告不斷誘導人們前往參與，然而對於太陽城娛樂城並未發現涉及詐騙的相關評價，根據分析，一般在疫情期間成立且至今穩定運營的娛樂城不太可能屬於黑網，儘管近期黑網娛樂城的風頭似乎已經過去，玩家仍需保持警惕，根據目前的研究，太陽城娛樂城並不屬於黑網之一。

太陽城娛樂城遊戲介紹

體育競技：Super體育、熊貓體育、IGX

真人娛樂：歐博真人、沙龍真人、DG真人、WM真人、DB真人、META真人、太陽城真人

電子遊戲：BNG電子、Ameba電子、必贏電子、RSG電子、GR電子、ZG電子、ATG電子、DB電子、GB電子、AV電子、太陽城電子

棋牌遊戲：好路棋牌、DB棋牌、高登棋牌

彩球彩票：贏家彩���、101彩票、SG88彩票、BingoEX彩票

太陽城現金版優惠活動

新會員首儲3000就送1288

舊會員儲值回饋最高可拿10000

老玩家回鍋可領888

百家樂例牌8輸9可領688

壽星會員可領888生日禮

太陽城娛樂城遊戲特色解析

在太陽城娛樂城，提供了豐富多樣的遊戲種類，其中包括一些來自未曾聞名的小型遊戲開發商，然而，這些小型開發商相對於眾所周知的大廠商而言，面臨的最大挑戰在��處理遊戲中的BUG或需要維修時所需的時間通常較長，儘管如此，一家娛樂城只要擁有知名的遊戲廠商並提供眾多遊戲，通常會有一定的保障。

相較之下，許多黑網娛樂城提供的遊戲種類相當有限，甚至僅限制玩家體驗某幾款遊戲，這樣的限制通常是為了方便作弊，因此只開放了少數遊戲供玩家使用，合法經營的娛樂城一般擁有眾多遊戲，降低了作弊的嫌疑，提供更多元的遊戲體驗。

更多娛樂城遊戲技巧攻略>> SC太陽城娛樂城 各式問題詢問可加LINE：🔎 zx178178

立馬註冊新會員首儲就送800！！！ 老玩家續儲好禮最高可領8000回饋！！！

延伸閱讀：教學 / 信用版VS現金版

[postsofbabel]

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[lanshengic]

Lattice and NVIDIA collaborate to accelerate edge AI

【Lansheng Technology News】Today at the Lattice Developer Conference, Lattice Semiconductor announced the launch of a new sensor bridge reference design to accelerate the development of network edge AI applications for NVIDIA Jetson Orin and IGX Orin platforms.

This open source reference development board is based on low-power Lattice FPGAs and the NVIDIA Orin platform and is designed to meet the needs of developers designing high-performance network edge AI applications in healthcare, robotics and embedded vision, including Interconnection of various sensors and interfaces, design scalability, low latency, etc. The collaboration between Lattice and NVIDIA aims to promote the development of the open source developer community by improving the connection of sensors to edge AI computing applications.

Esam Elashmawi, chief strategy and marketing officer of Lattice Semiconductor, said: Artificial intelligence has become a cutting-edge technology transforming various markets such as manufacturing, transportation, communications and medical devices, and this cooperation will accelerate this transformation. We are excited to work with NVIDIA to expand the application scope of our solutions, bring more innovation to our customers and ecosystem, and simplify and accelerate the implementation of AI applications at the network edge.

Amit Goel, director of embedded AI product management at NVIDIA, said: As companies increasingly demand AI real-time insights and autonomous decision-making capabilities, developers need to connect their various sensors to NVIDIA's edge computing platform. This collaboration with Lattice will accelerate innovation in sensor processing and help simplify the deployment of AI applications from the edge of the network to the cloud.

This Lattice FPGA-based reference development board is now available to early access customers. Lattice plans to make development boards and application examples available to the market in the first half of 2024.

Lansheng Technology Limited, which is a spot stock distributor of many well-known brands, we have price advantage of the first-hand spot channel, and have technical supports.

Our main brands: STMicroelectronics, Toshiba, Microchip, Vishay, Marvell, ON Semiconductor, AOS, DIODES, Murata, Samsung, Hyundai/Hynix, Xilinx, Micron, Infinone, Texas Instruments, ADI, Maxim Integrated, NXP, etc

To learn more about our products, services, and capabilities, please visit our website at http://www.lanshengic.com