Training deep neural networks like Transformers is challenging. They suffering from vanishing gradients, ineffective weight ...

Researchers propose a synergistic computational imaging framework that provides wide-field, subpixel resolution imaging ...

This study presents a valuable advance in reconstructing naturalistic speech from intracranial ECoG data using a dual-pathway model. The evidence supporting the claims of the authors is solid, ...

Learn what CNN is in deep learning, how they work, and why they power modern image recognition AI and computer vision programs.

To Integrate AI into existing workflows successfully requires experimentation and adaptation. The tools don't replace how you ...

BrainChip Holdings Ltd., a leader in commercial production high-performance, ultra-low-power, event-based neuromorphic artificial intelligence platforms, said today it raised $25 million in new ...

This article talks about how Large Language Models (LLMs) delve into their technical foundations, architectures, and uses in ...

Nexus proposes higher-order attention, refining queries and keys through nested loops to capture complex relationships.

SiEngine announced that its 7-nanometer advanced driver-assistance chips, AD1000 and AD800, had officially entered mass production.

A research team led by Chang Keke from the Ningbo Institute of Materials Technology and Engineering (NIMTE), Chinese Academy ...