This blog post was originally published at Qualcomm’s website. It is reprinted here with the permission of Qualcomm. On-device artificial intelligence (AI) is critical to making your everyday AI experiences fast and security-rich. That’s why it’s such a win that Qualcomm Technologies and Meta have worked together to support the Llama 3.2 large language models (LLMs) […]
Karthick Kumaran Ayyalluseshagiri Viswanathan, Staff Software Engineer at Meta, presents the “Using MIPI CSI to Interface with Multiple Cameras” tutorial at the May 2024 Embedded Vision Summit. As demand rises for vision capabilities in robotics, virtual/augmented reality, drones and automotive, there’s a growing need for systems to incorporate multiple cameras.… “Using MIPI CSI to Interface
“Using MIPI CSI to Interface with Multiple Cameras,” a Presentation from Meta Read More +
This blog post was originally published at e-con Systems’ website. It is reprinted here with the permission of e-con Systems. The GMSL interface plays a key role in embedded vision systems across industries. It can handle high-resolution video with low latency for long-distance data transmission. Discover more about the GMSL camera interface, its principles and
What Is GMSL Technology And How Does It Work? Read More +
Harish Venkataraman, Depth Cameras Architecture and Tech Lead at Meta, presents the “Introduction to Depth Sensing” tutorial at the May 2024 Embedded Vision Summit. We live in a three-dimensional world, and the ability to perceive in three dimensions is essential for many systems. In this talk, Venkataraman introduced the main… “Introduction to Depth Sensing,” a
“Introduction to Depth Sensing,” a Presentation from Meta Read More +
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.
Synaptics Astra AI-native IoT Compute Platform Wins 2024 EDGE Award Read More +
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
Deploying Accelerated Llama 3.2 from the Edge to the Cloud Read More +
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… “Advancing Embedded Vision Systems: Harnessing
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
STMicroelectronics and Qualcomm Enter Strategic Collaboration in Wireless IoT Read More +
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
BrainChip Introduces Lowest-power AI Acceleration Co-processor Read More +
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
AMD Introducing Energy-efficient EPYC Embedded 8004 Series for Embedded Systems Read More +
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