According to TII’s technical report, the hybrid approach allows Falcon H1R 7B to maintain high throughput even as response ...

This important study introduces a new biology-informed strategy for deep learning models aiming to predict mutational effects in antibody sequences. It provides solid evidence that separating ...

DeepSeek has introduced Manifold-Constrained Hyper-Connections (mHC), a novel architecture that stabilizes AI training and ...

A research team has introduced a lightweight artificial intelligence method that accurately identifies wheat growth stages ...

Ruyi Ding (Northeastern University), Tong Zhou (Northeastern University), Lili Su (Northeastern University), Aidong Adam Ding (Northeastern University), Xiaolin Xu (Northeastern University), Yunsi Fei ...

Training large artificial intelligence models has become increasingly difficult as systems grow in size and complexity, with ...

Overview: High-Performance Computing (HPC) training spans foundational parallel programming, optimization techniques, ...

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

AI deception is an ugly mirror of the human mind. In teaching machines to think, we're being forced to think more clearly ...

By transferring temporal knowledge from complex time-series models to a compact model through knowledge distillation and attention mechanisms, the ...

The race to build bigger AI models is giving way to a more urgent contest over where and how those models actually run. Nvidia's multibillion dollar move on Groq has crystallized a shift that has been ...

This study presents SynaptoGen, a differentiable extension of connectome models that links gene expression, protein-protein interaction probabilities, synaptic multiplicity, and synaptic weights, and ...