New fully programmable Neural Processing Unit (NPU) combines CPU, Vector, and Tensor processing to deliver up to 256 TOPS for LLMs, Deep Learning, and Recommendation Systems.

In RIT’s physics degree, you’ll gain an in-depth understanding of the basic principles governing the structure and behavior of matter, the generation and transfer of energy, and the interactions of ...

The S2 core has the same efficient 2-stage or 3-stage ... The 64-bit NX27V is a vector processor with 5-stage scalar pipeline that supports the latest RISC-V specification, including the IMAFD ...

Notably, the utilization of Resistive Random Access Memory (RRAM) in vector-matrix multiplication (VMM) configurations within IMC architectures has demonstrated substantial performance enhancements.

To improve codebook utilization efficiency and compensate for the audio quality loss caused by structural causality, StreamCodec introduces a novel residual scalar-vector quantizer (RSVQ). The RSVQ ...

Vector computations based on a shading matrix are required, rather than shading ratio or angle. Tensor forms ... the classic analysis relies on a scalar shading ratio,” he explained, adding ...

Almost one hundred years of attempts to quantize gravity suggest that physical perspective may be responsible for this failure (Garay, 1995). While continuing to seek an UV-complete theory of either ...