TECHNOLOGIES

MPEG-5 LCEVC: A practical shift for industrial AI video pipelines

Blog Posts, Industrial Vision (Computer Vision), Software, Tools, V-Nova /

This blog post was originally published at V-Nova’s website. It is reprinted here with the permission of V-Nova. In Industrial and Defense environments, I hear the same story. More cameras. Higher resolutions. Stricter latency targets. Infrastructure that cannot be replaced easily. And increasing pressure around storage, bandwidth, compute, and privacy. This is why MPEG-5 LCEVC is becoming even more relevant. It improves compression […]

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Upcoming Webinar on Building an Object Detection Pipeline

Algorithms & Models, Intel, News, Tools /

On May 27, 2026, at 10:00 am PDT (1:00 pm EDT) Intel will deliver a webinar “From Annotation to Deployment: Building an Object Detection Pipeline with Geti, YOLO26, and OpenVINO™” From the event page: Learn from Ultralytics and Intel® AI experts working side by side in this hands-on session and discover how to build production-ready

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“Non-Contact Vital Sign Monitoring Using Low-Cost WiFi Devices,” a Presentation from the University of California, Santa Cruz

Algorithms & Models, Edge AI and Vision Alliance, Medical, Sensors and Cameras, Videos /

Katia Obraczka, Professor of Computer Science and Engineering, University of California, Santa Cruz, Pranay Kocheta, Lexington High School, and Nayan Bhatia, University of California, Santa Cruz present the “Non-Contact Vital Sign Monitoring Using Low-Cost WiFi Devices” tutorial at the December 2025 Edge AI and Vision Innovation Forum.

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Key Trends Shaping the Semiconductor Industry in 2026

Blog Posts, HTEC Group, Market Analysis, Processors, Software /

This blog post was originally published at HTEC’s website. It is reprinted here with the permission of HTEC.   The hardware boom is slowing down. What comes next is a software, power, and inference problem—and most of the industry isn’t ready for any of it. AI chips are now 0.2% of all chips manufactured, but

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Texas Instruments, D3 Embedded, Lattice and NVIDIA Show a Practical Radar-Camera Fusion Stack for Robotics

D3 Embedded, Lattice Semiconductor, News, NVIDIA, Processors, Robotics, Sensors and Cameras, Software, Texas Instruments, Tools /

TI’s new application brief and companion demo outline how mmWave radar, camera input, FPGA-based sensor bridging and NVIDIA Holoscan can be combined into a low-latency perception pipeline for humanoids and other autonomous machines.   Texas Instruments, D3 Embedded, Lattice Semiconductor and NVIDIA are outlining a concrete radar-camera fusion stack for robotics rather than just talking

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Upcoming Webinar on Akida Radar Reference Platform

Algorithms & Models, BrainChip, News, Processors, Sensors and Cameras /

On April 20, 2026, at 8:00 pm PDT (11:00 am EDT) BrainChip will deliver a webinar “Akida Radar Reference Platform: See the Evolution of Radar Intelligence with AI-Powered Object Classification” From the event page: Join us on 20 April at 8:00 AM PT for an exclusive deep dive into BrainChip’s Radar Reference Platform — bringing

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From Connected to Aware: How PSOC™ Edge Enables the Next Wave of Smart Devices

Blog Posts, Consumer, Infineon, Processors /

This blog post was originally published at Infineon’s website. It is reprinted here with the permission of Infineon. Across home, retail, and industry, devices that once followed simple rules are now expected to understand people and context. A thermostat shouldn’t just follow a schedule; it should know if anyone is in the room and choose the preferred

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Building Robotics Applications with Ryzen AI and ROS 2

Algorithms & Models, AMD, Blog Posts, Robotics, Software, Tools /

This blog post was originally published at AMD’s website. It is reprinted here with the permission of AMD. This blog showcases how to deploy power-efficient Ryzen AI perception models with ROS 2 – the Robot Operating System. We utilize the Ryzen AI Max+ 395 (Strix-Halo) platform, which is equipped with an efficient Ryzen AI NPU and

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BrainChip Unveils Radar Reference Platform to Bridge the ‘Identification Gap’ in Edge AI

BrainChip, News, Processors, Sensors and Cameras, Software /

LAGUNA HILLS, Calif. — April 6, 2026 — BrainChip Holdings Ltd (ASX: BRN, OTCQX: BRCHF, BCHPY), the world’s first commercial producer of ultra-low-power, neuromorphic AI technology, today announced the launch of its Radar Reference Platform. This fully validated hardware and AI stack is designed to provide real-time object classification at the edge, solving the critical “identification gap” that limits traditional radar

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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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Berkeley Design Technology, Inc.
PO Box #4446
Walnut Creek, CA 94596

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Phone: +1 (925) 954-1411
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