Processors

Qualcomm Expands Generative AI Capabilities With Acquisition of VinAI Division

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Highlights: Acquisition will strengthen Qualcomm’s generative AI research and development capabilities and expedite the creation of advanced AI solutions for products like smartphones, PCs, software-defined vehicles, and more Dr. Hung Bui, VinAI’s founder and CEO, will join Qualcomm Apr 1, 2025 – SAN DIEGO & HANOI, VIETNAM – Qualcomm today announced the acquisition of MovianAI Artificial […]

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BrainChip Partners with RTX’s Raytheon for AFRL Radar Contract

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Laguna Hills, Calif. – April 1st, 2025 – 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 that it is partnering with Raytheon Company, an RTX (NYSE: RTX) business, to service a contract for $1.8M from the Air Force Research Laboratory

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R²D²: Advancing Robot Mobility and Whole-body Control with Novel Workflows and AI Foundation Models from NVIDIA Research

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This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. Welcome to the first edition of the NVIDIA Robotics Research and Development Digest (R2D2). This technical blog series will give developers and researchers deeper insight and access to the latest physical AI and robotics research breakthroughs across

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Sony Semiconductor Demonstration of AITRIOS Vision AI at the Extreme Edge Made Simple

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Armaghan Ebrahimi, Senior Technical Product Manager, and Zachary Li, Product and Business Development Manager, both of Sony Semiconductor, demonstrates the company’s latest edge AI and vision technologies and products at the March 2025 Edge AI and Vision Alliance Forum. Specifically, Ebrahimi and Li demonstration the Raspberry Pi AI Camera, powered by Sony’s IMX500 smart sensor

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Ambarella Debuts Next-generation Edge GenAI Technology at ISC West, Including Reasoning Models Running on its CVflow Edge AI SoCs

Ambarella, Multimodal, News, Processors, Tools /

With Over 30 Million Edge AI Systems-on-Chip Shipped, Ambarella is Driving Innovation for a Broad Range of On-Device and On-Premise Generative AI Applications SANTA CLARA, Calif., March 31, 2025 — Ambarella, Inc. (NASDAQ: AMBA), an edge AI semiconductor company, today announced during the ISC West security expo that it is continuing to push the envelope

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MemryX Raises $44 Million in Series B Funding for Advanced Edge AI Computing

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ANN ARBOR, Mich., March 27, 2025 /PRNewswire/ — MemryX, a provider of industry leading Edge AI semiconductor solutions, announced today it has raised $44 million in Series B funding.  The funding round received broad support from new and existing investors. This announcement follows MemryX reaching production quality of the industry leading MX3 Accelerator chip, the

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OpenMV Demonstration of Its New N6 and AE3 Low Power Python Programmable AI Cameras and Other Products

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Kwabena Agyeman, President and Co-founder of OpenMV, demonstrates the company’s latest edge AI and vision technologies and products at the March 2025 Edge AI and Vision Alliance Forum. Specifically, Agyeman demonstrates the company’s new N6 and AE3 low power Python programmable AI cameras, along with the FLIR BOSON thermal camera and Prophesee GENX320 event camera.

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Andes Technology Demonstration of Its RISC-V IP in a Spherical Image Processor and Meta’s AI Accelerator

Andes Technology, Object Identification, Object Tracking, Processors, Videos /

Marc Evans, Director of Business Development and Marketing at Andes Technology, demonstrates the company’s latest edge AI and vision technologies and products at the March 2025 Edge AI and Vision Alliance Forum. Specifically, Evans demonstrates the company’s RISC-V semiconductor processor IP, which enables customers to develop leading SoCs for AI, computer vision and other market

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RGo Robotics Implements Vision-based Perception Engine on Qualcomm SoCs for Robotics Market

Algorithms, Blog Posts, Processors, Qualcomm, Robotics, Sensors and Cameras, Software, Tools /

This blog post was originally published at Qualcomm’s website. It is reprinted here with the permission of Qualcomm. Mobile robotics developers equip their machines to behave autonomously in the real world by generating facility maps, localizing within them and understanding the geometry of their surroundings. Machines like autonomous mobile robots (AMR), automated guided vehicles (AGV)

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