Processors

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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NXP Delivers New Innovations for Advanced Physical AI with NVIDIA

News, NVIDIA, NXP Semiconductors, Processors, Robotics /

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

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BrainChip Enables the Next Generation of Always-On Wearables with the AkidaTag Reference Platform

BrainChip, Consumer, Industrial Vision (Computer Vision), Medical, News, Processors /

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

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TI expands Microcontroller Portfolio and Software Ecosystem to Enable Edge AI in Every Device

News, Processors, Texas Instruments /

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.

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Arduino Announces Arduino VENTUNO Q, Powered by Qualcomm Dragonwing IQ8 Series

Industrial Vision (Computer Vision), News, Processors, Qualcomm, Robotics /

The new platform by the leading open-source hardware provider is purpose-built for generative AI, robotics, and actuation — making advanced capabilities accessible to all.   Ahead of Embedded World, Arduino announced the upcoming launch of its newest platform to democratize edge AI, Arduino® VENTUNO™ Q. Named after the Italian word for twenty-one​, VENTUNO Q builds on the iconic

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Intel Launches Core Series 2 Processor with Real-Time Performance and Expands Edge AI Portfolio

Intel, News, Processors /

New industrial-ready platform delivers breakthrough deterministic performance; sixth Edge AI suite targets healthcare applications   NUREMBERG, Germany — March 9, 2026 — At Embedded World 2026, Intel launched the Intel® Core™ processor Series 2 with P-cores, an industrial-ready platform engineered for mission-critical edge applications. Intel also announced its latest Edge AI suite for Health & Life Sciences, providing validated reference pipelines and benchmarking tools

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