As new sensory skills combine with existing perception, they can enhance precision, making them a “true augmentation, not a ...

Very few areas of industry will escape the influence of artificial intelligence, with many applications involving security ...

A scalable microfluidic system rapidly generates samples in parallel to avoid temporal variability in high-throughput, ...

As DRAM technologies scale to increasingly tighter pitches, the patterning requirements exceed the limits of conventional ...

Abstract: We consider the distributed memory parallel multiplication of a sparse matrix by a dense matrix (SpMM). The dense matrix is often a collection of dense vectors. Standard implementations will ...

Quantum computing future explained through cryptography, optimization, and AI breakthroughs showing how quantum computing ...

In-memory computing, which processes data directly within memory units, is emerging as a powerful solution to overcome the ...

Government-funded academic research on parallel computing, stream processing, real-time shading languages, and programmable ...

Massive rounds for AI, EDA, and manufacturing; 80 startups raise $8.4B.

The ability to predict brain activity from words before they occur can be explained by information shared between neighbouring words, without requiring next-word prediction by the brain.

What is clear is that Meta Platforms was very good at architecting DLRM systems running R&R training and R&R inference, but ...

The term supercomputer gets tossed around, and while there's still no real definition, it takes some serious performance for ...