Researchers from Kyushu University have developed an innovative computational method, called ddHodge, that can reconstruct ...

Chinese AI company Deepseek has unveiled a new training method, Manifold-Constrained Hyper-Connections (mHC), which will make it possible to train large language models more efficiently and at lower ...

Researchers have proposed a unifying mathematical framework that helps explain why many successful multimodal AI systems work.

A new study presents a zero-shot learning (ZSL) framework for maize cob phenotyping, enabling the extraction of geometric ...

Optical computing has emerged as a powerful approach for high-speed and energy-efficient information processing. Diffractive ...

These days, large language models can handle increasingly complex tasks, writing complex code and engaging in sophisticated ...

The Chinese AI lab may have just found a way to train advanced LLMs in a manner that's practical and scalable, even for more cash-strapped developers.

We introduce TransBrain, a computational framework for bidirectional translation of whole-brain phenotypes between humans and mice. TransBrain enables quantitative cross-species comparison in a ...

National security, unlocked. Each Thursday, host Mary Louise Kelly and a team of NPR correspondents discuss the biggest national security news of the week. With decades of reporting from battlefields ...

Interest in supercritical CO2 cycles has been growing in the field of clean power generation from fossil fuels. Numerous ...

Cognitive computing represents an innovative frontier within computer science, merging artificial intelligence, machine ...

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