Synaptics Astra AI-native IoT Compute Platform Wins 2024 EDGE Award

News, Processors, Synaptics /

SAN JOSE, Calif., Oct. 01, 2024 (GLOBE NEWSWIRE) — Synaptics® Incorporated (Nasdaq: SYNA) today announced that its Synaptics Astra™ AI-native IoT compute platform won in the Machine Learning and Deep Learning category of the 2024 EDGE Awards. The annual awards from Endeavor Media celebrate outstanding innovation in product design and function for the engineering industry. […]

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Deploying Accelerated Llama 3.2 from the Edge to the Cloud

Algorithms & Models, Blog Posts, Multimodal, NVIDIA, Processors, Software, Tools /

This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. Expanding the open-source Meta Llama collection of models, the Llama 3.2 collection includes vision language models (VLMs), small language models (SLMs), and an updated Llama Guard model with support for vision. When paired with the NVIDIA accelerated

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“Advancing Embedded Vision Systems: Harnessing Hardware Acceleration and Open Standards,” a Presentation from the Khronos Group

Algorithms & Models, Edge AI and Vision Alliance, Memory, Processors, Sensors and Cameras, Software, Summit 2024, Tools, Videos /

Neil Trevett, President of the Khronos Group, presents the “Advancing Embedded Vision Systems: Harnessing Hardware Acceleration and Open Standards” tutorial at the May 2024 Embedded Vision Summit. Offloading processing to accelerators enables embedded vision systems to process workloads that exceed the capabilities of CPUs. However, parallel processors add complexity as workloads must be distributed and

“Advancing Embedded Vision Systems: Harnessing Hardware Acceleration and Open Standards,” a Presentation from the Khronos Group Read More +

STMicroelectronics and Qualcomm Enter Strategic Collaboration in Wireless IoT

News, Processors, Qualcomm, STMicroelectronics /

Strategic collaboration will pair STMicroelectronics’ market-leading STM32 microcontroller ecosystem and Qualcomm’s world-leading wireless connectivity solutions. Seamless integration into existing STM32 developer ecosystem to allow simple, fast, and cost-effective design of next-gen industrial and consumer IoT applications augmented by edge AI. Oct 1, 2024 – Geneva and San Diego – STMicroelectronics (NYSE: STM), a global semiconductor leader

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BrainChip Introduces Lowest-power AI Acceleration Co-processor

BrainChip, News, Processors /

Laguna Hills, Calif. – October 1, 2024 – BrainChip Holdings Ltd (ASX: BRN, OTCQX: BRCHF, ADR: BCHPY), the world’s first commercial producer of ultra-low power, fully digital, event- based, brain-inspired AI, today introduced the Akida™ Pico, the lowest power acceleration co-processor that enables the creation of very compact, ultra-low power, portable and intelligent devices for wearable

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AMD Introducing Energy-efficient EPYC Embedded 8004 Series for Embedded Systems

AMD, News, Processors /

October 1, 2024 – AMD continually sets the industry standard with its EPYC™ Embedded processors, offering exceptional performance, efficiency, connectivity, and innovation for networking, storage, and industrial applications. Today we are extending that leadership with the fourth-generation, AMD EPYC Embedded 8004 Series processors. The AMD EPYC Embedded 8004 Series processor is designed for compute-intensive embedded

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Europe Has the Fastest-Growing Robotics Industry; Revenue to Surge by 68% and Hit $28.8 Billion by 2029

Market Analysis, Robotics /

Although the United States and China have been in a tech race for decades, battling for supremacy in critical areas of technology that will shape the future of the global economy, including artificial intelligence and robotics, the two countries lose the race with Europe when it comes to robotics sector growth. According to data presented

Europe Has the Fastest-Growing Robotics Industry; Revenue to Surge by 68% and Hit $28.8 Billion by 2029 Read More +

When, Where and How AI Should Be Applied

Algorithms & Models, Market Analysis, Software, Tools, Videos /

Phil Koopman dissects strengths and weaknesses of machine learning based AI AI does amazing stuff. No question about it. But how hard have we really thought about “machine-learning capabilities” for applications? Phil Koopman, professor at Carnegie Mellon University, delivered a keynote on Sept. 11, 2024 at the Business of Semiconductor Summit, (BOSS 2024), concentrating on

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“Using AI to Enhance the Well-being of the Elderly,” a Presentation from Kepler Vision Technologies

Algorithms & Models, Edge AI and Vision Alliance, Face Detection, Face Recognition, Medical, Object Identification, Object Tracking, Privacy, Sensors and Cameras, Software, Summit 2024, Tools, Videos /

Harro Stokman, CEO of Kepler Vision Technologies, presents the “Using Artificial Intelligence to Enhance the Well-being of the Elderly” tutorial at the May 2024 Embedded Vision Summit. This presentation provides insights into an innovative application of artificial intelligence and advanced computer vision technologies in the healthcare sector, specifically focused on nursing homes, hospitals and remote

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AI Model Training Cost Have Skyrocketed by More than 4,300% Since 2020

Algorithms & Models, Market Analysis, Software, Tools /

Over the past five years, AI models have become much more complex and capable, tailored to perform specific tasks across industries and provide better efficiency, accuracy and automation. However, the cost of training in these systems has exploded. According to data presented by AltIndex.com, AI model training costs have skyrocketed by more than 4,300% since

AI Model Training Cost Have Skyrocketed by More than 4,300% Since 2020 Read More +

Here you’ll find a wealth of practical technical insights and expert advice to help you bring AI and visual intelligence into your products without flying blind.

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