TECHNOLOGIES

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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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 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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On-Demand Webinar on Deploying Computer Vision and LLMs at the Edge

Check out this recent webinar from Boston.AI “Reality Check: Deploying Computer Vision and LLMs at the Edge” From the event page: AI workloads are moving closer to where data is generated — but how close can we really get? This webinar from ICS and Boston AI explores the evolving landscape of deploying advanced AI models,

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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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Nota AI Wins Grand Prize at NVIDIA Nemotron Hackathon, Proving MoE Quantization Prowess with Synthetic Data Technology

Took 1st place in Track C and Grand Prize among all 20 competing teams with synthetic data generation technology specialized for MoE quantization Built a dataset using an agent based on Nemotron 3 Super120B, presenting a data-centric rather than algorithm-centric optimization approach SEOUL, South Korea, April 24, 2026 /PRNewswire/ — Nota AI, a leading AI model compression and optimization company,

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Gateworks and NXP Powers the Future of the Industrial Edge with M.2 AI Acceleration Card

This news blog post was originally published at NXP Semiconductors’ website. It is reprinted here with the permission of NXP Semiconductors. Gateworks, an NXP Gold Partner, is a leader in embedded computing solutions for edge AI and industrial connectivity. Bringing decades of experience and deep integration within NXP’s ecosystem, Gateworks delivers USA-made, industrial-grade platforms, complemented

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New Synopsys.ai Copilots Deliver 2–5× Faster Chip Design Productivity

AI-assisted semiconductor design and verification is no longer just a concept. It is now a full-fledged reality that is delivering remarkable productivity gains. Five new Synopsys.ai Copilot assistants and advisors are now commercially available, putting expert-level guidance and creativity at engineers’ fingertips. Thousands of users across leading semiconductor companies are already harnessing this first-of-its-kind generative AI technology to

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The rise of smarter robots and why memory is becoming their superpower

This blog post was originally published at Micron Technology’s website. It is reprinted here with the permission of Micron Technology. If it feels like robots are evolving faster than ever, that’s because they are. We’re watching an industry shift in real time, from factory floors to warehouses to emerging humanoid systems, all powered by advances in

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Accelerating AI Innovation at the Edge with the Ara240 Discrete Neural Processing Unit (NPU)

This blog post was originally published at NXP Semiconductors’ website. It is reprinted here with the permission of NXP Semiconductors. As AI workloads grow with larger, multimodal models and on-device generative and agentic AI, edge systems need more than incremental compute. They require dedicated acceleration for real-time performance, lower power, strong data privacy, and scalability. The Ara240

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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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