Machine Learning Shifts More Work to FPGAs, SoCs SoC bandwidth, integration expand as data centers use more FPGAs for machine learning.

This university program will offer professors, researchers, and students access to a broad collection of pre-developed curricula, software tools, and programmable hardware to help accelerate the FPGA ...

FPGA maker Xilinx has acquired Chinese deep learning chip startup DeePhi Tech for an undisclosed sum. The Next Platform has been watching DeePhi closely over the last few years as it appeared to be ...

Machine-learning (ML) based methodologies pave a strong path towards accurately estimating post-route values. In this paper, we present a comprehensive survey of the existing literature in the ML ...

For instance, the programmable solutions group at Intel where the Altera teams were integrated post-acquisition has just developed an FPGA overlay for deep learning inference that demonstrates some ...

Download the report from Advanced Micro Devices (AMD) and Xilinx, that explores deep learning and the value of combining CPU, GPU, FPGA technologies.

The iCEBreaker FPGA board is specifically designed for you. It works out of the box with the latest open source FPGA development tools and next-generation open CPU architectures.

Achronix’s Speedcore Gen 4 can be tailored for machine-learning applications as well as to deliver high-performance FPGA connectivity for embedded FPGAs.

In this video from ATPESC 2019, James Moawad and Greg Nash from Intel present: FPGAs and Machine Learning. Neural networks are inspired by biological systems, in particular the human brain. Through ...

Achronix’s Speedster7t FPGAs utilize high-speed networks to provide faster communication between machine-learning blocks, storage, peripherals, and FPGA fabric.

[KF5N] admits he’s not a digital design engineer; he’s more into the analog RF side of things. But he’s recently taken on a project to communicate between a Ubuntu box and an Inte… ...

This afternoon Microsoft announced Brainwave, an FPGA-based system for ultra-low latency deep learning in the cloud. Early benchmarking indicates that when using Intel Stratix 10 FPGAs, Brainwave ...