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Microchip Technology Acquires Neuronix AI Labs

Innovative technology enhances AI-enabled intelligent edge solutions and increases neural networking capabilities CHANDLER, Ariz., April 15, 2024 — Microchip Technology (Nasdaq: MCHP) has acquired Neuronix AI Labs to expand its capabilities for power-efficient, AI-enabled edge

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News

Intel

Intel Builds World’s Largest Neuromorphic System to Enable More Sustainable AI

Hala Point, the industry’s first 1.15 billion neuron neuromorphic system, builds a path toward more efficient and scalable AI. What’s New: Today, Intel announced that it has built the world’s largest neuromorphic system. Code-named Hala Point, this large-scale neuromorphic system, initially deployed at Sandia National Laboratories, utilizes Intel’s Loihi 2 processor, aims at supporting research for future brain-inspired artificial

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AMD

AMD Expands Commercial AI PC Portfolio to Deliver Leadership Performance Across Professional Mobile and Desktop Systems

AMD Ryzen™ PRO 8040 Series and AMD Ryzen™ PRO 8000 Series provide businesses with the most advanced x86 processors1 for AI PCs SANTA CLARA, Calif., April 16, 2024 (GLOBE NEWSWIRE) — Today, AMD (NASDAQ: AMD) announced new products that will expand its commercial mobile and desktop AI PC portfolio, delivering exceptional productivity and premium AI

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Algorithms

Microchip Technology Acquires Neuronix AI Labs

Innovative technology enhances AI-enabled intelligent edge solutions and increases neural networking capabilities CHANDLER, Ariz., April 15, 2024 — Microchip Technology (Nasdaq: MCHP) has acquired Neuronix AI Labs to expand its capabilities for power-efficient, AI-enabled edge solutions deployed on field programmable gate arrays (FPGAs). Neuronix AI Labs provides neural network sparsity optimization technology that enables a

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Market Analysis

Automotive

Here’s Why the SDV Market Will Be Worth $700 Billion by 2034

The SDV and AI Cars market is set to be worth over US$700 billion by 2034, representing around 20% of the global car market, according to IDTechEx‘s “Software-Defined Vehicles, Connected Cars, and AI in Cars 2024-2034” report. That sum can be sourced from several areas, such as monthly connectivity subscriptions, commission from in-vehicle payments, and

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Automotive

North America and Europe to Account for 15 Million Video Telematics Systems In Use by 2028

For more information, visit https://www.berginsight.com/the-video-telematics-market. The integration of cameras to enable various video-based solutions in commercial vehicle environments is one of the most apparent trends in the fleet telematics sector today. Berg Insight’s definition of video telematics includes a broad range of camera-based solutions deployed in commercial vehicle fleets either as standalone applications or as

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Market Analysis

Exploring the Impact of Generative AI: Identifying the Winners

This market research report was originally published at the Yole Group’s website. It is reprinted here with the permission of the Yole Group. Datacenter GPU and AI ASIC revenue could reach $156 billion by 2025 and $233 billion by 2029. OUTLINE The massive growth that the data center GPU and AI ASIC market experienced in

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Blog

Arm

Arm’s Mission to Help Tackle AI’s Insatiable Energy Needs

This blog post was originally published at Arm’s website. It is reprinted here with the permission of Arm. The challenge (and opportunity) of powering workloads in the AI datacenter AI has the potential to exceed all the transformative innovations created in the past century. The benefits to society around health care, productivity, education and many

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Automotive

How Embedded Vision is Helping Build Smart Buses of the Future

This blog post was originally published at TechNexion’s website. It is reprinted here with the permission of TechNexion. The transportation sector has always been at the forefront of technological advancements, and the emergence of the “Smart Bus” system is a testament to this evolution. This innovative system is not just about enhancing the passenger experience

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Algorithms

Partitioning Strategies to Optimize AI Inference for Multi-core Platforms

This blog post was originally published at Ceva’s website. It is reprinted here with the permission of Ceva. Not so long ago, AI inference at the edge was a novelty easily supported by a single NPU IP accelerator embedded in the edge device. Expectations have accelerated rapidly since then. Now we want embedded AI inference

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