The researchers validate SySTeC’s effectiveness through extensive performance evaluations on common tensor operations, including symmetric sparse matrix-vector multiplication (SSYMV), ...

How transformers work, why they are so important for the growth of scalable solutions and why they are the backbone of LLMs.

A specialist artificial intelligence chipmaker called EnCharge AI Inc. said today it has closed on a more than $100 million ...

Nature Research Intelligence Topics enable transformational understanding and discovery in research by categorising any document into meaningful, accessible topics. Read this blog to understand ...

NVIDIA is the market leader in AI-focused GPUs, with the Tesla (now A100 and H100) and RTX series optimised for machine ...

The neural network artificial intelligence models used in applications like medical image processing and speech recognition perform operations on ...

MIT researchers developed an automated system to help programmers increase the efficiency of their deep learning algorithms by simultaneously leveraging two types of redundancy in complex data ...

Linear normalization, which is most common, involves shifting the number axis so the data is balanced around zero, and then ...

Optical fibers are fundamental components in modern science and technology due to their inherent advantages, providing an ...

As of September 2024, AMD had $4.5 billion in cash and cash equivalents against total debt of $1.7 billion. AMD took on debt to acquire Xilinx, but Xilinx generates healthy cash flow, and now that AMD ...

Optical fibers are fundamental components in modern science and technology due to their inherent advantages, providing an efficient and secure medium for applications such as internet communication ...

in this file, i implemented llama3 from scratch, one tensor and matrix multiplication at a time. also, im going to load tensors directly from the model file that meta provided for llama3, you need to ...