Semiconductor Engineering

Machine Learning Shifts More Work to FPGAs, SoCs

A wave of machine-learning-optimized chips is expected to begin shipping in the next few months, but it will take time before data centers decide whether these new accelerators are worth adopting and ...
Electronic Design

Embedded FPGA Optimized for Machine Learning and Communication

Achronix’s Speedcore Gen 4 can be tailored for machine-learning applications as well as to deliver high-performance FPGA connectivity for embedded FPGAs. 1. Processor performance is starting to level ...
The Next Platform

FPGAs Open Gates in Machine Learning

Field Programmable Gate Arrays (FPGAs) have notched some noticeable wins as a platform for machine learning, Microsoft’s embrace of the technology in Azure being the most notable example. But for this ...
insideHPC

FPGAs Speed Machine Learning at SC16 Intel Discovery Zone

In this video from SC16, Intel demonstrates how Altera FPGAs can accelerate Machine Learning applications with greater power efficiency. The demo was put together using OpenCL design tools and then ...
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 ...
Electronic Design

FPGA Highways Speed Machine Learning and Communication

Today’s high-speed FPGAs have a passing similarity to their older counterparts. However, large arrays of identical lookup tables (LUTs) and interconnect fabrics have given way to high-speed, ...
insideHPC

Video: FPGAs and Machine Learning

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 ...
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

Clearing the TensorFlow to FPGA Path

Despite some of the inherent complexities of using FPGAs for implementing deep neural networks, there is a strong efficiency case for using reprogrammable devices for both training and inference.
Nasdaq

OKI and Mipsology of France Enter Japanese Market for FPGA-Based Machine Learning (ML) Development Support Services

TOKYO--(BUSINESS WIRE)-- OKI IDS Co., Ltd. (OIDS; president: Satoshi Shimizu; head office: Takasaki, Gunma Prefecture), an OKI Group company providing firmware and hardware design and development ...
TechCrunch

Microsoft Brainwave aims to accelerate deep learning with FPGAs

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 can ...