DeepSeek has become the rare AI lab that improves capability without simply throwing more compute and parameters at the ...

World models are the building blocks to the next era of physical AI -- and a future in which AI is more firmly rooted in our reality.

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

A research team has developed DeepCodon, a deep learning–based codon optimization tool that significantly improves heterologous protein expression in Escherichia coli while preserving functionally ...

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

Traditional VR instruction often places students directly into immersive experiences without preparation, resulting in a cognitive “cold start”. To resolve this issue, the first step in the ...

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

As AI automates the work that once trained junior lawyers, firms must rethink how capability is built. New simulation-led and AI-enabled training models may offer a better path forward. For decades, ...

Abstract: The deep reinforcement learning (DRL) based Volt-VAR optimization (VVO) methods have been widely studied for active distribution networks (ADNs). Most approaches neglect power injection ...