Lattice to showcase its latest FPGA technology innovations at the International VLSID Conference

Pravin Desale, Head of R&D, to Deliver Keynote on Growing Need for Low Power FPGAs ‒ ‒ Multiple Technical Sessions Focused on Edge AI, Sensor Fusion, System Design, and More ‒ ...
IEEE

Machine Learning for FPGA Electronic Design Automation

Abstract: In the last decades, field-programmable gate arrays (FPGAs) have become increasingly important to the electronics industry, offering higher performance and lower power consumption as ...
Opinion

The 3D-Flow Architecture Breakthrough: A Universal, Scalable Digital Processor for Real-Time Pattern Recognition in High-Rate Data Streams — A Platform to Save Millions of ...

Worse, the most recent CERN implementation of the FPGA-Based Level-1 Trigger planned for the 2026-2036 decade is a 650 kW system containing an incredibly high number of transistor, 20 trillion in all, ...
GitHub

Amiga Minimig Ported to Tang Nano 20k FPGA

NanoMig is a port of the Minimig Commodore Amiga FPGA implementation to the Tang Nano 20K, Tang Primer 25K, Tang Mega 138K Pro and Tang Console with Mega 60k / 138k module FPGA development boards.

Intel: $16 Billion Investment Boost, But Execution Challenges Persist

Intel received major investments from SoftBank, Nvidia, and the US government, but execution risk remains high. Read why INTC ...
Design And Reuse

Industry’s First End-to-End eUSB2V2 Demo for Edge AI and AI PCs at CES

As laptops, AI PCs, and the latest imaging systems demand even higher performance and lower power, SoCs are challenged to ...
archive

Design for information : an introduction to the histories, theories, and best practices behind effective information visualizations

Ask the publishers to restore access to 500,000+ books. An icon used to represent a menu that can be toggled by interacting with this icon. A line drawing of the Internet Archive headquarters building ...
IEEE

Application of Machine Learning in FPGA EDA Tool Development

Abstract: With the recent advances in hardware technologies like advanced CPUs and GPUs and the large availability of open-source libraries, machine learning has penetrated various domains, including ...