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NPX6 NPU IP Accelerates Physical AI SoC Performance

To meet the evolving performance and power-efficiency needs of generative AI (GenAI) and Physical AI models targeting for AI-driven SoCs, Synopsys has announced an enhanced version of its silicon-proven ARC® NPX6 NPU IP family of AI accelerators. These enhanced NPU IPs, which are software-compatible with existing NPX6 IP families, include: AI Data Compression: An enhanced

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FotoNation

FotoNation Completes a Pre-A Round to Fund the Development of its TriSilica Chip Lead by Enterprise Ireland and Silicon Gardens

GALWAY, Ireland, May 7, 2026 /PRNewswire/ — FotoNation® LTD., a Galway-based company, announced it has closed its Pre-A round led by Enterprise-Ireland and Silicon Gardens, with participation from other notable Angels. This capital will accelerate FotoNation’s mission to develop its TriSilica® product: an ultra-low-power, perception-AI chip. Specifically, the funds will be used to progress the completion of the MPW prototype,

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Industrial Vision (Computer Vision)

Upcoming Webinar on Computer Vision and Edge AI for Defect Detection

On May 14, 2026, at 12:00 pm PDT (2:00 pm EDT) TDK SensEI will deliver a webinar “Using Computer Vision and edge AI for Defect Detection” From the event page: Join Sundeep Ahluwalia, Chief Product Officer at TDK SensEI, as he explores the future of industrial manufacturing and computer vision. In this webinar, Sundeep introduces

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Market Analysis

Blog Posts

Key Trends Shaping the Semiconductor Industry in 2026

This blog post was originally published at HTEC’s website. It is reprinted here with the permission of HTEC.   The hardware boom is slowing down. What comes next is a software, power, and inference problem—and most of the industry isn’t ready for any of it. AI chips are now 0.2% of all chips manufactured, but

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Market Analysis

Humanoid Robots 2026-2036: Technologies, Markets, and Opportunities

Maturity of commercialization of humanoid robotics by application. For full data, refer to IDTechEx’s research on “Humanoid Robots 2026-2036: Technology, Market, and Opportunities” This blog post was originally published at IDTechEx’s website. It is reprinted here with the permission of IDTechEx. Automotive industry, logistics, home-use, key players and suppliers, AI chip, battery, actuator, motor, screw, tactile

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Consumer

Evaluating Waveguide Technologies for AR Smart Glasses

The difference in optical efficiency at wider FOV for the same technology type for several commercial waveguides. Data was normalized to the narrow FOV product, with arrows representing the reduction in efficiency for wide FOV waveguides developed by the same company. A clear reduction in optical efficiency for waveguides of the same technology at wider

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Blog

Blog Posts

Scalable FPGA Prototyping for AI SoCs: Handling Massive Parallelism and Bandwidth

This blog post was originally published at Tessolve’s website. It is reprinted here with the permission of Tessolve. Creating an AI System-on-Chip (SoC) today resembles conducting a thousand musicians playing different melodies at once; each note, or data stream, must align perfectly. As AI workloads become increasingly complex, prototyping these SoCs on FPGA (Field Programmable

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Automotive

Falcon Takes Flight: Connect Tech’s Vehicle AI Platform Was Built for the Worst Conditions on Earth

This blog post was originally published at Macnica America’s website. It is reprinted here with the permission of Macnica America. Dust. Vibration. Mud. Sub-zero mornings and scorching afternoons. These are the conditions that kill most compute platforms before they ever reach production, and yet it’s exactly these conditions, on farms, construction sites, and open-pit mines, where

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Algorithms & Models

Case Study: How an Enterprise Tech Team Went from Dozens to 2,000+ Fine-Tuning Configurations

This blog post was originally published in expanded form at RapidFire AI’s website. It is reprinted here with the permission of RapidFire AI. The Use Case An AI-forward team at a Fortune 500 enterprise tech company builds intelligent autocomplete for enterprise form data entry: predicting what a user will select next across product dimensions, pricing fields,

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