Processors

Lightweight Keyword Spotting Solution from Microchip

Algorithms & Models, Microchip Technology, Processors, Videos /

Microchip presents a customizable, target-agnostic solution to program wake words and voice commands. The ML model, generated and tested using a custom application, has low latency and a minimal memory footprint, making it ideal for resource-constrained embedded systems. The ML model can be integrated into voice-based applications running on any 32-bit microcontroller or microprocessor running […]

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Accelerating Multi-Die Innovation: How Synopsys and Samsung are Shaping Chip Design

Blog Posts, Processors, Samsung Semiconductor, Synopsys /

This blog post was originally published at Synopsys’s website. It is reprinted here with the permission of Synopsys. With the semiconductor industry shifting from monolithic chip designs to multi-die architectures — which leverage chiplets for improved flexibility, scalability, and time to market — engineering teams are facing new hurdles and complexities. Beyond power, performance, and area (PPA), they

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UCIe & Chiplets: A Practical Guide to Modular SoC Design

Blog Posts, Processors, Tessolve /

This blog post was originally published at Tessolve’s website. It is reprinted here with the permission of Tessolve. The semiconductor industry is undergoing a paradigm shift. Traditional monolithic System-on-Chip (SoC) designs are giving way to modular architectures that leverage interoperable chiplets. At the heart of this evolution is Universal Chiplet Interconnect Express (UCIe). This open standard

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Cadence and NVIDIA Unveil Accelerated Engineering Solutions Purpose-Built for Agentic AI Chip and System Design​

Cadence, News, NVIDIA, Processors /

New agentic integrated circuit (IC) and physical AI accelerated solutions enable engineers to solve previously impossible chip, system and AI factory challenges   SAN JOSE, Calif.— Today, Cadence announced an expansion of its broad collaboration with NVIDIA to accelerate Cadence’s Design for AI and AI for Design strategy. The next generation of agentic AI design solutions includes autonomous,

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STMicroelectronics and Leopard Imaging Accelerate Robotics Vision with NVIDIA Jetson-ready Multi-sensor Module

News, NVIDIA, Processors, Robotics, Sensors and Cameras, STMicroelectronics /

Key Takeaways Multimodal module combining 2D imaging, 3D depth sensing, and human-like motion perception NVIDIA Holoscan Sensor Bridge ensuring multi-gigabit plug and play connectivity with Jetson platforms Fully supported by NVIDIA Isaac open robot development platform STMicroelectronics and Leopard Imaging® have introduced an all-in-one multimodal vision module for humanoid and other advanced robotics systems. Combining

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HSP: The new hardware accelerator that transforms an ultra-low-power STM32U3 into an AI machine

Blog Posts, Processors, STMicroelectronics /

This blog post was originally published at STMicroelectronics’s website. It is reprinted here with the permission of STMicroelectronics. ST is launching today its hardware signal processor (HSP), a new hardware unit that the industry will experience in more and more of our upcoming STM32 microcontrollers, starting today with our new STM32U3B5/C5 devices featuring 2 MB of flash. In a

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NVIDIA, T-Mobile and Partners Integrate Physical AI Applications on AI-RAN-Ready Infrastructure

HCLTech, News, NVIDIA, Processors, Smart Cities, Software /

News Summary: T-Mobile pilots NVIDIA RTX PRO 6000 Blackwell Server Edition AI infrastructure to demonstrate physical AI applications at the edge, complementing the AI-RAN Innovation Center’s distributed network Physical AI developers including Fogsphere, LinkerVision, Levatas, Vaidio and Siemens Energy are building reasoning and vision AI agents to the edge using the NVIDIA Metropolis Blueprint for

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Lattice Joins NVIDIA Halos Ecosystem to Advance Safety for Physical AI with Holoscan Sensor Bridge

Lattice Semiconductor, News, NVIDIA, Processors, Robotics /

HILLSBORO, Ore. – Mar. 16, 2026 – Lattice Semiconductor (NASDAQ: LSCC), the low power programmable leader, today announced it has joined the NVIDIA Halos AI Systems Inspection Lab ecosystem, the first ANSI National Accreditation Board (ANAB) accredited inspection lab for AI-driven physical systems. Announced at the NVIDIA GTC 2026, Lattice will engage with NVIDIA and other Halos ecosystem members to

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NVIDIA and Global Robotics Leaders Take Physical AI to the Real World

Algorithms & Models, News, NVIDIA, Processors, Robotics, Software, Tools /

News Summary: Physical AI leaders across robot brain developers, industrial, and surgical robot giants and humanoid pioneers including ABB Robotics, AGIBOT, Agility, CMR Surgical, FANUC, Figure, Hexagon Robotics, KUKA, Medtronic, Skild AI, Universal Robots, World Labs and YASKAWA are building on NVIDIA technology to develop and deploy physical AI at scale. NVIDIA unveils new NVIDIA

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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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