pigzippa47

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 […]

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

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

NPX6 NPU IP Accelerates Physical AI SoC Performance Read More +

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,

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

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,

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

How Pre-Built AI Models Speed Up Factory Inspection Deployment

This blog post was originally published at Lincode’s website. It is reprinted here with the permission of Lincode. Did you know that over 35% of manufacturing defects go undetected during traditional visual inspections, costing factories millions in rework and lost productivity every year?[1] Many manufacturers struggle to implement AI-powered inspection systems because building and training custom models from

How Pre-Built AI Models Speed Up Factory Inspection Deployment Read More +

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

Upcoming Webinar on Computer Vision and Edge AI for Defect Detection Read More +

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

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

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,

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

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,

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

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

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

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.

Contact

Address

Berkeley Design Technology, Inc.
PO Box #4446
Walnut Creek, CA 94596

Phone
Phone: +1 (925) 954-1411
Scroll to Top