Ambarella will be hosting an invitation-only exhibition at ISC West 2026, taking place March 25 – 27 at the Venetian Expo in Las Vegas, where we’ll demonstrate how edge AI is enabling the next generation of intelligent security and physical AI systems. This year’s theme, “A Smarter Vision for AI,” reflects an important shift underway […]
A Smarter Vision for AI at ISC West 2026 Read More +
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,
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
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
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
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
NVIDIA and Global Robotics Leaders Take Physical AI to the Real World Read More +
Key Takeaways: Secure, reliable real-time data processing and transport solutions for next-generation physical AI applications, developed in collaboration with NVIDIA NVIDIA humanoid robotics solutions integrated into NXP’s safe, secure edge portfolio cut development costs and speed time to market First in a series of NXP’s foundational robotics solutions designed to accelerate physical AI development and
NXP Delivers New Innovations for Advanced Physical AI with NVIDIA Read More +
NUREMBERG, Germany and TOKYO, Japan — Renesas Electronics Corporation (TSE: 6723), a premier supplier of advanced semiconductor solutions, today announced the general availability of Renesas 365, Powered by Altium, an intelligent, model-based platform that integrates device exploration, model-based system development and early concept validation on a single unified platform. Built on a cloud environment, Renesas 365 is
Renesas Announces General Availability of Renesas 365 Read More +
LAGUNA HILLS, Calif. — March 10, 2026 — BrainChip Holdings Ltd. (ASX: BRN, OTCQX: BRCHF, ADR: BCHPY), the world’s first commercial producer of ultra-low-power, fully digital, event-based neuromorphic AI, today announced at Embedded World in Nuremberg, Germany the launch of AkidaTag©, a reference platform for smart sensing in a battery-powered tag powered by Nordic Semiconductor. Intelligent wearable and remote industrial sensors
New MCUs with the TinyEngine NPU join TI’s comprehensive portfolio of AI-enabled hardware, software and tools, allowing engineers to deploy intelligence anywhere Key Takeaways: TI’s integrated TinyEngine NPU can run AI models with up to 90 times lower latency and more than 120 times lower energy utilization per inference than similar MCUs without an accelerator.
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.
Berkeley Design Technology, Inc.
PO Box #4446
Walnut Creek, CA 94596
