Abstract: We study the performance behavior of the sparse matrix-vector product operation in distributed computing environments, in the case of very large non-diagonal matrices where the nonzero ...
Abstract: We propose a photonic computing core that supports simultaneous parallel computing of two independent matrix-vector multiplications, with an ultra-compact ...
Tech Xplore on MSN
Beyond electronics: Optical system performs feature extraction with unprecedented low latency
Many modern artificial intelligence (AI) applications, such as surgical robotics and real-time financial trading, depend on ...
Tech Xplore on MSN
AI efficiency advances with spintronic memory chip that combines storage and processing
To make accurate predictions and reliably complete desired tasks, most artificial intelligence (AI) systems need to rapidly ...
Researchers have developed an optical computing system that performs feature extraction for quantitative trading with ...
As artificial intelligence grows more powerful, so does its appetite for speed and energy. The quest for faster, smarter ...
Qualcomm had datacenter envy back when Intel ruled the bit barns of the world, and now it has it even worse now that Nvidia ...
Interesting Engineering on MSN
World’s smallest 3D bioprinting robot delivers healing gels to damaged vocal cords
Scientists unveil a flexible 2.7 mm bioprinter that lets surgeons reconstruct vocal folds and prevent scarring after throat ...
AZoOptics on MSN
Researchers Build Ultra-Fast Optical Chip for Feature Extraction with Record-Low Latency
A new optical feature extraction engine, dubbed OFE2, reaches 12.5 GHz, enhancing AI applications in healthcare and finance with unprecedented speed and efficiency.
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