High-speed data acquisition is made simple with a 12-bit digitizer that offers up to 10 GSPS sampling rate and 2 Gbyte/s ...
A new innovation from Cornell researchers lowers the energy use needed to power artificial intelligence—a step toward ...
Designed for high-performance data acquisition in compact, space-constrained environments, the ADQ3-USB brings the full capabilities of the ADQ3 platform into a stand-alone USB 3.2 form factor ...
Learn real-world strategies about FPGA Chip Design, Join Elektor Engineering Insights on Sept 24 at 16:00 CEST with Kevin ...
Learn real-world strategies about FPGA Chip Design, Join Elektor Engineering Insights on Sept 24 at 16:00 CEST with Kevin ...
LONDON — NASDAQ-listed O2 Micro International Ltd. (George Town, Cayman Islands), a company with offices in Taiwan and China, has been granted U.S. patent number 7,391,237 for its field programmable ...
A technical paper titled “Duet: Creating Harmony between Processors and Embedded FPGAs” was written by researchers at Princeton University. “The demise of Moore’s Law has led to the rise of hardware ...
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 ...
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 ...
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 ...
Defined as revolutionary, the Application Specific Modular Block (ASMBL) architecture promises rapid, cost-effective deployment of multiple domain-specific FPGA platforms with a blend of features.
FPGAs might not have carved out a niche in the deep learning training space the way some might have expected but the low power, high frequency needs of AI inference fit the curve of reprogrammable ...