Artificial Intelligence systems powered by deep learning are changing how we work, communicate, and make decisions. If we ...

From coding to hardware, LLMs are speeding up research progress in artificial intelligence. It could be the most important ...

Google Gemini: An AI chatbot by Google that functions similarly to ChatGPT but also pulls information from Google's other ...

To address fidelity loss in deep-tissue imaging, Prof. Peng Xi’s team at Peking University developed Confocal² Spinning-Disk ...

AI has entered a new phase. It is no longer just about building larger models or accessing more data. Today’s competition ...

Within this manuscript a deep learning algorithm designed to achieve both spatial and temporal source reconstruction based on signals captured by MEG devices is introduced. Brain signal estimation at ...

In today’s digital world, seeing is no longer believing.With Artificial Intelligence (AI) becoming increasingly sophisticated ...

The official code repository of "OmniESI: A unified framework for enzyme-substrate interaction prediction with progressive conditional deep learning" ...

Hamming codes are effective for single-bit error correction but struggle with multiple-bit errors. While the bit-flipping (BF) algorithm can handle some multiple-bit errors, it also faces limitations.

A version of this article appears in print on June 15, 2025, Section SR, Page 16 of the New York edition with the headline: My Journey Deep in the Heart of Trump Country.

Although most scholars say learning math algorithms like regrouping in addition are essential, some worry that schools don't do enough to support the concepts undergirding these common procedures.