Everybody wants to give FPGA development a try and here’s a great way to get into it. You can build your own Persistence of Vision display using a $30 dev board. It’s a fun project, and you’ll learn ...

We often think that not enough people are building things with FPGAs. We also love the retrotechtacular posts on old computer hardware. So it was hard to pass up [karlwoodward’s] post about the Chip ...

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 ...

With the basic logic gates (NAND, NOR, NOT etc.) we can build a simple adder to multiplier to complete processor. If we can connect these logic elements inside a chip the way we want using a software ...

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 ...

Mipsology’s Zebra Deep Learning inference engine is designed to be fast, painless, and adaptable, outclassing CPU, GPU, and ASIC competitors. I recently attended the 2018 Xilinx Development Forum (XDF ...

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 ...

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.

After three years of research into how it might accelerate its Bing search engine using field programmable gate arrays (FPGAs), Microsoft came up with a scheme that would let it lash Stratix V devices ...

Some of the most valuable events at DAC are the IP Track sessions, which give small and midsize companies a chance to share innovations that might not get much attention elsewhere. The use of IP in ...