Nvidia’s new technique cuts LLM reasoning costs by 8x without losing accuracy

Nvidia researchers developed dynamic memory sparsification (DMS), a technique that compresses the KV cache in large language models by up to 8x while maintaining reasoning accuracy — and it can be ...
IEEE

Recent Advances in Deep-Learning-Based SAR Image Target Detection and Recognition

Abstract: Synthetic aperture radar (SAR) image target detection and recognition (SAR-TDR) tasks have become research hot spots in the remote sensing application. These targets include ships, vehicles, ...
IEEE

Unsupervised Deep Learning for DAS-VSP Denoising Using Attention-Based Deep Image Prior

Abstract: Distributed acoustic sensing (DAS) has emerged as a widely used technology in various applications, including borehole microseismic monitoring, active source exploration, and ambient noise ...

A supercomputer beat a human chess champ 30 years ago, paving a path for AI dominance

In 1996, IBM's Deep Blue faced off against Garry Kasparov, the greatest chess mind on Earth — and changed history.