A deep learning framework combines convolutional and bidirectional recurrent networks to improve protein function prediction from genomic sequences. By automating feature extraction and capturing long ...

In a Nature Communications study, researchers from China have developed an error-aware probabilistic update (EaPU) method ...

Unveiling the Premier Simulation Conference 2026 Get ready for Converge 2026, the simulation event you won’t want ...

A novel differentiable approach optimizes geometric waveguide coatings, achieving substantial gains in light efficiency and ...

A team of researchers led by the University of Warwick has developed the first unified framework for detecting "spacetime fluctuations"—tiny, random distortions in the fabric of spacetime that appear ...

By the time Carnegie Mellon University (CMU) researcher Hans Moravec published his seminal book on robotics “Mind Children” ...

Today, a new technological revolution is emerging: quantum computing. With its unprecedented computational power, quantum computing is expected to transform everything from risk analysis and portfolio ...

The proposed Coordinate-Aware Feature Excitation (CAFE) module and Position-Aware Upsampling (Pos-Up) module both adhere to ...

Computational chemistry describes the use of computer modelling and simulation – including ab initio approaches based on quantum chemistry, and empirical approaches – to study the structures and ...