Therefore, parallel computing and acceleration techniques have become crucial in the research and application of neural networks, as they can significantly enhance the performance and efficiency of ...

First hybrid memory technology to support adaptive local training and inference of artificial neural networks unveiled.

Project demonstrated that it is possible to perform on-chip training with competitive accuracy, sidestepping the need for off ...

Naomi Saphra thinks that most research into language models focuses too much on the finished product. She’s mining the ...

UCLA finds both biological brains and AI neural networks developed similar behavioral strategies and neural representations when coordinating their actions, suggesting there are fundamental principles ...

At a time when conflict and division dominate the headlines, a new study from UCLA finds remarkable similarities in how mice and artificial intelligence systems each develop cooperation: working ...

Researchers at Seoul National University and Kyung Hee University report a framework to control collective motions, such as ...

Explore investment strategies, risks, and growth opportunities in the dynamic AI infrastructure space — plus 3 ETFs to watch.

At a time when conflict and division dominate the headlines, a new study from UCLA finds remarkable similarities in how mice and artificial ...

Rising Researcher Honored with 2025 Dr. C. V. Raman Excellence in Education Award for Pioneering AI and Cybersecurity ...

The experimental results are exciting: on a single NVIDIA H100 GPU, PMRT can complete training in just 24 hours, achieving an ultra-high precision of 0.975 on the standard test dataset. Even more ...

One of the most exciting developments is how AI is lowering barriers for retail participation in algorithmic trading. Tools ...