Processors

Introducing the Qualcomm Dragonwing IQ10 RRD: A full-stack robotics reference design

News, Processors, Qualcomm, Robotics /

A robotics reference design that brings integrated hardware, software and AI tools into one deployment-ready system   Key Takeaways: The Dragonwing IQ10 Robotics Reference Design (RRD) aims to help teams move from prototype to production by combining compute, sensing, networking and software in a single deployment-ready system. The platform is designed to deliver up to […]

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“Efficient Computer Vision at the Far Edge: Design and Training Under Constraints,” a Presentation from Lattice Semiconductor

Algorithms & Models, Edge AI and Vision Alliance, Lattice Semiconductor, Memory, Processors, Summit 2026, Videos /

Nicolas Widynski, AI Fellow at Lattice Semiconductor presents “Efficient Computer Vision at the Far Edge: Design and Training Under Constraints” at the May 2026 Embedded Vision Summit. This session explores practical strategies for deploying computer vision AI on far-edge devices under strict resource constraints. While highlighting FPGA-specific strengths, such as… “Efficient Computer Vision at the

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GlobalFoundries completes acquisition of Synopsys’ Processor IP Solutions Business, delivering a holistic technology platform for Physical AI

MIPS, News, Processors, Synopsys /

Combines GF’s Physical AI portfolio with MIPS’ RISC-V and software-to-silicon expertise to accelerate custom, software-first products for automotive, industrial and agentic edge platforms   MALTA, N.Y., June 2, 2026 – GlobalFoundries (Nasdaq: GFS) (GF) today announced the completion of its acquisition of Synopsys’ ARC Processor IP Solutions business. Combined with MIPS, by GF, the acquisition

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“Why Your Next AI Accelerator Should Be an FPGA,” a Presentation from Efinix

Edge AI and Vision Alliance, Efinix, Processors, Summit 2026, Videos /

Mark Oliver, VP of Marketing and Business Development at Efinix presents “Why Your Next AI Accelerator Should Be an FPGA” at the May 2026 Embedded Vision Summit. Edge AI system developers often assume that AI workloads require a GPU or NPU. But when cost, latency, complex I/O or tight power… “Why Your Next AI Accelerator

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Running BitNet on Qualcomm Hexagon with custom 1.58 kernels

Algorithms & Models, Blog Posts, ENERZAi, Processors, Qualcomm, Tools /

This blog post was originally published at ENERZAi’s website. It is reprinted here with the permission of ENERZAi. Today, we are excited to share a milestone that our team has been working toward for some time. ENERZAi has successfully deployed BitNet (b1.58) 2B on the Qualcomm QCS6490 Hexagon NPU via QNN! If that sentence felt

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GSOC Solutions and Andes Technology Announce Strategic Partnership to Expand RISC-V CPU Options for Configurable SoC and Chiplet Platforms

Andes Technology, News, Processors /

SAN JOSE, Calif. – May 26, 2026 – GSOC Solutions, a premier ASIC development center located at Tel-Aviv, Israel, and Andes Technology (TWSE: 6533), a leading supplier of high-performance, low-power RISC-V processor cores, announced a strategic partnership. The collaboration will integrate Andes’ full range of RISC-V CPU IP into GSOC’s Ocean™ platform, a configurable SoC

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“HiFi iQ: Enabling Voice AI and Immersive Audio for Smart Home, Mobile and Automotive,” a Presentation from Cadence

Cadence, Consumer, Edge AI and Vision Alliance, Processors, Summit 2026, Videos /

Amol Borkar, Group Director of Product Management and Marketing—Tensilica DSPs, Silicon Solutions Group (SSG) at Cadence presents “HiFi iQ: Enabling Voice AI and Immersive Audio for Smart Home, Mobile and Automotive” at the May 2026 Embedded Vision Summit. Voice is quickly becoming the primary interface for consumer and enterprise devices,… “HiFi iQ: Enabling Voice AI

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Why Vision LLMs Force A Rethink Of Edge AI Hardware

Algorithms & Models, Blog Posts, Expedera, Processors /

This blog post was originally published at Expedera’s website. It is reprinted here with the permission of Expedera. As vision-centric large language models move on-device, performance measured in raw TOPS is no longer enough. Architectures need to be built around real workloads, memory behavior, and sustained utilization, especially at the edge. Vision LLMs are changing

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Gemma 4 on Arm: Accessible, Immediate, Optimized On-device AI to Accelerate the Mobile App Experience

Algorithms & Models, Arm, Blog Posts, Consumer, Processors /

Gemma 4 on Arm brings fast, privacy-preserving, power-efficient AI directly onto Android devices, helping developers deliver richer real-time app experiences to billions of users without relying on the cloud.   This blog post was originally published at Arm’s website. It is reprinted here with the permission of Arm. Real-time assistance, seamless communication, and greater personalization are now baseline expectations for billions of smartphone

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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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