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Algorithms & Models

10xEngineers and Andes Enable High-Performance AI Compilation for RISC-V AX46MPV Cores

Hsinchu, Taiwan – February 26, 2026 – The collaboration between 10xEngineers, a services company specializing in AI compilers, and Andes Technology Corporation, a leading provider of high-performance, low-power 32- and 64-bit RISC-V processor IP and a Founding Premier Member of RISC-V International, delivers first-class AI workload compilation for Andes AX46MPV cores using 10xEngineers’ AI graph compiler, Baltoro. This collaboration enables

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Chips&Media

Chips&Media Accelerates WAVE-N Ecosystem: Redefining the Future of Next-Generation Customized NPUs

February 24, 2026, Seoul, — As a premier multimedia IP provider, Chips&Media is proud to announce the strategic expansion of the WAVE-N ecosystem – our next-generation customized NPU architecture. Key Objectives: Strategic Partnerships: Cultivating alliances with leading AI-based imaging network providers IP Integration: Merging our silicon-proven WAVE-N IP with pre-evaluated, high-performance AI networks Customer-Centric Innovation: Providing clients with access to

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HCLTech

HCLTech unveils VisionX 2.0, a next-gen multi-modal AI Edge Platform with NVIDIA

Noida, India, February 20, 2026 — HCLTech, a leading global technology company, today unveiled VisionX 2.0, an upgraded version of its multi-modal AI edge platform. This platform delivers real-time intelligence, enhanced safety and operational efficiency at scale for mission-critical industrial environments. VisionX 2.0 builds on HCLTech’s award-winning Intelligent Secure Edge capabilities, integrating advanced computer vision, vision language

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Market Analysis

Market Analysis

AI at the Edge: Low Power, High Stakes

This blog post was originally published at Woodside Capital’s website. It is reprinted here with the permission of Woodside Capital. Palo Alto – November 3, 2025 – Woodside Capital Partners (WCP) is pleased to release our Digital Advertising Quarterly Sector Update for Q3 2025, authored by senior bankers Alain Bismuth and George Jones. Introduction: Intelligence on the Edge Edge

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Market Analysis

PiezoMEMS: A Market Poised to Outpace MEMS Growth by 2030

This market research report was originally published at the Yole Group’s website. It is reprinted here with the permission of the Yole Group. Yole Group unveils two new reports, PiezoMEMS Technologies 2025 and PiezoMEMS Comparison 2025, providing market ranking, technology insights and cost analyses. Key Takeaways The piezoMEMS market will reach nearly US$5.7 billion by 2030,

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Market Analysis

Greater China MEMS Industry On the Rise: Consumer Leads the Way

This market research report was originally published at the Yole Group’s website. It is reprinted here with the permission of the Yole Group. In its latest analysis, Yole Group examines how the Greater Chinese MEMS ecosystem is expanding across the consumer, automotive, industrial, medical, defense, and telecom markets, with continued growth driven by strong local

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Blog

Automotive

What Does a GPU Have to Do With Automotive Security?

This blog post was originally published at Imagination Technologies’ website. It is reprinted here with the permission of Imagination Technologies. The automotive industry is undergoing the most significant transformation since the advent of electronics in cars. Vehicles are becoming software-defined, connected, AI-driven, and continuously updated. This evolution brings extraordinary new capability – but it also brings

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Blog Posts

Pushing the Limits of HDR with Ubicept

This blog post was originally published at Ubicept’s website. It is reprinted here with the permission of Ubicept. Executive summary Ubicept’s SPAD-based system offers consistent HDR performance in nighttime driving conditions, preserving shadow and highlight detail where conventional cameras fall short. Unlike traditional HDR techniques which often struggle with motion artifacts, Ubicept Photon Fusion maintains

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Algorithms & Models

A Practical Guide to Recall, Precision, and NDCG

This blog post was originally published at Rapidflare’s website. It is reprinted here with the permission of Rapidflare. Introduction Retrieval-Augmented Generation (RAG) is revolutionizing how Large Language Models (LLMs) access and use information. By grounding models in domain specific data from authoritative sources, RAG systems deliver more accurate and context-aware answers. But a RAG system is

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