DeepSeek’s latest training research arrives at a moment when the cost of building frontier models is starting to choke off ...

Anti-forgetting representation learning method reduces the weight aggregation interference on model memory and augments the ...

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 ...

Slomp Filho, M. (2026) Copyright in Generative Artificial Intelligence. Beijing Law Review, 17, 1-10. doi: ...

For a Summer Undergraduate Research Fellowship project, Carnegie Mellon University sophomore Jasmine Li worked with robotic arms in the Robotic Caregiving and Human Interaction Lab to analyze the ...

Researchers are trying to understand why some wild species do better than others over time, as the environment changes.

Penn State researchers use large language models to streamline metasurface design, significantly reducing the time and ...

Ekiti State University student Adebayo Temitayo is applying his theatre training to digital content creation, showing how ...

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

A team of researchers at Penn State have devised a new, streamlined approach to designing metasurfaces, a class of engineered ...

How much does it matter where you are born, or whether you are heavy or light, if you are a house sparrow? Researcher Kenneth ...

DeepSeek's proposed "mHC" design could change how AI models are trained, but experts caution it still needs to prove itself ...