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Tech Xplore on MSN

New chip design cuts AI energy use by enabling smarter FPGA processing

A new innovation from Cornell researchers lowers the energy use needed to power artificial intelligence—a step toward ...
Design-Reuse

How to utilize advanced FPGA features without getting locked into an architecture

A vendor-independent design approach that allows design development independent of the target FPGA architecture can pay big dividends. Programmable logic in today's FPGAs now provides more than just ...
BBN Times

FPGA vs. GPU for Deep Learning: Which Hardware Accelerates AI Better?

Deep learning has advanced rapidly, driving breakthroughs in image recognition, natural language processing, and autonomous ...
Electronic Design

FPGAs: Architectural Innovations Open Up New Applications

FPGAs have always offered fast turnaround and on-the-fly reconfigurability, but at a higher unit cost. ASICs have promised a lower unit cost at high volumes, but only if designers can afford the time ...
Nature

Hardware Architecture for Cryptographic Algorithms on FPGA

Field-Programmable Gate Arrays (FPGAs) have become a popular platform for implementing cryptographic algorithms due to their flexibility and efficiency. Recent research has focused on enhancing the ...
VentureBeat

FPGA chips are coming on fast in the race to accelerate AI

AI is hungry, hyperscale AI ravenous. Both can devour processing, electricity, algorithms, and programming schedules. As AI models rapidly get larger and more complex (an estimated 10x a year), a ...
Design-Reuse

How to perform meaningful benchmarks on FPGAs from different vendors

As a design engineer using FPGAs, how do you choose which FPGA is the best for your application? Every engineer faces this problem and is inundated with endless, self-promoting marketing claims that ...