In the big data era, algorithms for efficient data compression have become increasingly crucial, both for transmission over the network and long-term archival. Most traditional compression techniques, ...

Deep learning network compression techniques have emerged as a crucial research area, aiming to reduce the computational and storage requirements of neural networks without significantly compromising ...

For about a decade, computer engineer Kerem Çamsari employed a novel approach known as probabilistic computing. Based on probabilistic bits (p-bits), it’s used to solve an array of complex ...

eSpeaks host Corey Noles sits down with Qualcomm's Craig Tellalian to explore a workplace computing transformation: the rise of AI-ready PCs. Matt Hillary, VP of Security and CISO at Drata, details ...