Turning uncertainty into a design tool for AI-engineered molecules

While precision seems critical for science, researchers from the U.S. Department of Energy's (DOE) Brookhaven National ...

AI is reengineering drug discovery by speeding up testing and scanning petabytes of data for connections between diseases

Skolnick has developed AI-based approaches to predict protein structure and function that may help with drug discovery and ...
Frontiers

Deep Learning Integration in Index Modulation for Enhanced Wireless Communication Systems

Index modulation (IM) has emerged as a promising technique for improving spectral efficiency and hardware efficiency in next-generation communication ...
Scientific Research Publishing

Predicting Stock Price Movements Using Deep Learning Techniques ()

Stock Price Prediction, Deep Learning, LSTM, GRU, Attention Mechanism, Financial Time Series Share and Cite: Kirui, D. (2026) ...
EurekAlert!

Decoding the light field: Empowering next-generation photodetectors through materials and metasurfaces

A new publication from Opto-Electronic Technology; DOI   10.29026/oet.2026.260001, discusses empowering next-generation ...
eLife

Stimulus dependencies—rather than next-word prediction—can explain pre-onset brain encoding in naturalistic listening designs

The ability to predict brain activity from words before they occur can be explained by information shared between neighbouring words, without requiring next-word prediction by the brain.
Frontiers

Digital phenotyping and neuro-simulations: Scaling precision neuroscience via IT

Modern neuroscience has transitioned from small-scale manual observations to a data-intensive field powered by computational innovation. Traditionally ...
eLife

Memory Encoding and Retrieval: Rethinking how memories are retrieved

Patterns of neural activity called theta oscillations have a role in memory encoding but – contrary to current thinking – do not appear to have a role in memory retrieval.