IEEE Spectrum on MSN
Better hardware could turn zeros into AI heroes
Sparse computing enables leaner, faster AI ...
After the first complete sequence of a human genome is obtained, the next challenge will be to discover and understand the function and variation of genes and, ultimately, to understand how such ...
If there’s one lesson to be learned from [Aled Cuda]’s pulsed laser driver, it’s that you can treat the current limits on electronic components as a suggestion if the current duration is measured in ...
Abstract: Transformers are at the core of modern AI nowadays. They rely heavily on matrix multiplication and require efficient acceleration due to their substantial memory and computational ...
One of the key questions of neurobiology is how neurons polarize to acquire two molecularly and functionally distinct compartments that emerge from the cell body: a single axon and multiple dendrites, ...
Abstract: Deep Neural Networks (DNNs) require highly efficient matrix multiplication engines for complex computations. This paper presents a Systolic Array (SA) architecture incorporating novel exact ...
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