Semiconductor Engineering

Deep Learning Hardware: FPGA vs. GPU

FPGAs or GPUs, that is the question. Since the popularity of using machine learning algorithms to extract and process the information from raw data, it has been a race between FPGA and GPU vendors to ...
Semiconductor Engineering

Applying Machine Learning to EDA, FPGA Design Automation Tools

A technical paper titled “Application of Machine Learning in FPGA EDA Tool Development” was published by researchers at the University of Texas Dallas. “With the recent advances in hardware ...
Datacenter Dynamics

Microsoft previews FPGA-based machine learning service for Azure

Microsoft is set to capitalize on its work on integrating field programmable gate arrays (FPGAs) into servers for machine learning workloads, by launching a specialized Azure cloud service. Project ...
Boston University

ECE PhD Interns on FPGA and Machine Learning

ECE PhD Students Chen Yang (ECE ’19) and Ahmed Sanaullah (ECE ’20) worked together while interning at the Argonne Leadership Computing Facility (ALCF). A highly regarded organization that offers a ...
The Next Platform

FPGA Maker Snaps Up Deep Learning Chip Startup

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 ...
Digit

Machine Learning on Intel FPGAs

Artificial intelligence (AI) originated in classical philosophy and has been loitering in computing circles for decades. Twenty years ago, AI surged in popularity, but interest waned as technology ...
ZDNet

AI chips for big data and machine learning: Hard choices in the cloud and on-premise

Applications and infrastructure evolve in lock-step. That point has been amply made, and since this is the AI regeneration era, infrastructure is both enabling AI applications to make sense of the ...
The Next Platform

Intel FPGA Architecture Focuses on Deep Learning Inference

There has been much written about the potential for FPGAs to take a leadership role in accelerating deep learning but in practice, the hurdles of getting from concept to high performance hardware ...
New Electronics

FPGAs to better machine learning and AI applications

The latest ‘buzz phrases’ to emerge into general use are ‘machine learning’ and artificial intelligence, or AI. Both techniques have wide application, so it’s no surprise to find technology companies ...
Hackaday

Learning Verilog for FPGAs

Getting into FPGA design isn’t a monolithic experience. You have to figure out a toolchain, learn how to think in hardware during the design, and translate that into working Verliog. The end goal is ...