Fully Digital Design Paves the Way for Scalable Probabilistic Computing

Fully digital design paves the way for scalable probabilistic computing

Artificial intelligence and machine learning could become dramatically more efficient, thanks to a new type of computer component developed by researchers at the University of California, Santa Barbara and Tohoku University, in collaboration with the Taiwan Semiconductor Manufacturing Company (TSMC).

UCSB & Tohoku University Detail Digital Design For Scalable P-bit Computing

Researchers at UC Santa Barbara and Tohoku University have developed a new computer component based on “probabilistic bits,” or p-bits, which fluctuate between 0 and 1 and efficiently explore possibilities for tasks like optimization and inference. This breakthrough features a fully digital design, eliminating bulky and expensive analog components to enable scalable probabilistic computing hardware.