Researchers from Stony Brook University, in collaboration with Ecosuite and Ecogy Energy, have developed a self-supervised machine learning algorithm designed to identify physical anomalies in solar ...

For anyone who thought designs for LNG carriers had resolved into a standard that would only change with small tweaks, they only had to take a stroll around the vast halls at the Gastech exhibition ...

Chain-of-thought (CoT) prompting is an increasingly popular approach to artificial intelligence (AI) training that boosts models’ reasoning capabilities. The technique prompts large-language models, ...

Breakthroughs, discoveries, and DIY tips sent every weekday. Terms of Service and Privacy Policy. NASA has released new images of the full-scale prototypes of six ...

Researchers claim to have developed a new way to run AI language models more efficiently by eliminating matrix multiplication from the process. This fundamentally redesigns neural network operations ...

I'm getting wrong results when I'm using Fxps instantiated from a NumPy Array and given a custom dtype. The same Fxp instantiated via different ways, even if seemingly exactly the same, produces ...

Deploying large language models (LLMs) on resource-constrained devices presents significant challenges due to their extensive parameters and reliance on dense multiplication operations. This results ...

Matrix multiplication (MatMul) is a fundamental operation in most neural networks, primarily because GPUs are highly optimized for these computations. Despite its critical role in deep learning, ...

Most neural network topologies heavily rely on matrix multiplication (MatMul), primarily because it is essential to many basic processes. Vector-matrix multiplication (VMM) is commonly used by dense ...