Harnessing heat generated by a device itself, microscopic silicon structures could lead to more energy-efficient thermal ...

Compute-in-memory: State space models; ultra-thin AlScN memory; brain-inspired edge AI.

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

Researchers at USC's Viterbi School of Engineering have demonstrated an electronic memory device that functions far beyond previously known thermal limits. In experiments, the device remained ...

A new hardware-software co-design increases AI energy efficiency and reduces latency, enabling real-time processing of ...

1. Image transformations in Computer Graphics as images are composed of matrix. number of variables. 4. Self-driving car navigation can be made more accurate as matrix multiplication can accurately ...

Abstract: Matrix multiplication circuits are widely used as accelerators in 3D graphics, communications, artificial intelligence, and other domains. Recent years have seen significant advances in ...

Heterogeneous NPU designs bring together multiple specialized compute engines to support the range of operators required by ...

People often solve simple arithmetic problems, such as basic addition, subtraction, multiplication or division, in their ...

Conservation levels of gene expression abundance ratios are globally coordinated in cells, and cellular state changes under such biologically relevant stoichiometric constraints are readable as ...

Abstract: Multi-scalar multiplication (MSM) is the primary computational bottleneck in zero-knowledge proof protocols. To address this, we introduce FAMA, an FPGA-oriented MSM accelerator developed ...