Nature

FPGA-Accelerated Object Detection with Deep Learning Techniques

Field-programmable gate arrays (FPGAs) have emerged as a vital class of reconfigurable hardware accelerators, offering a compelling balance of performance, power efficiency and flexibility for ...
Nature

FPGA-Based Acceleration of Deep Learning Networks

Field programmable gate arrays (FPGAs) have emerged as flexible hardware platforms for accelerating deep learning networks, offering high energy efficiency, low latency and reconfigurable parallelism.
Network World

Microsoft’s new Catapult v2 server design is targeted at AI

For years, Microsoft has been delivering speedy and accurate Bing results with experimental servers called Project Catapult, which have now received an architectural upgrade. The Catapult servers use ...
Business Insider

Deep Learning Chipsets: CPUs, GPUs, FPGAs, ASICs, and Other Chipsets for Training and Inference Applications: Global Market Analysis and Forecasts

NEW YORK, March 6, 2017 /PRNewswire/ -- Deep learning technology is driving the evolution of artificial intelligence (AI) and has become one of the hottest topics of discussion within the technology ...
Semiconductor Engineering

New Ways To Optimize GEMM-Based Applications Targeting Two Leading AI-Optimized FPGA Architectures

A technical paper titled “Efficient Approaches for GEMM Acceleration on Leading AI-Optimized FPGAs” was published by researchers at The University of Texas at Austin and Arizona State University.