With a newly developed method that compares AI-generated protein sequences with naturally occurring ones, function- and ...

Within a modest engineering laboratory at Duke University, a new type of researcher is quietly at work next to an optical ...

Prediction of crystal structures of organic molecules is a critical task in many industries, especially in pharmaceuticals ...

Researchers from the Hong Kong University of Science and Technology (HKUST) and Tongji University have developed FerroAI, a ...

For a long time, the core idea in reinforcement learning (RL) was that AI agents should learn every new task from scratch, like a blank slate. This "tabula rasa" approach led to amazing achievements, ...

Researchers from UNIST, Seoul National University (SNU), and POSTECH have made a significant breakthrough in understanding ...

It's surprisingly hard to get AI models to watch and comment on actual video content, even if they are made for the task.

Integrating protein sequence design and evolutionary sequence conservation to uncover spectral tuning sites in red-light photoreceptors Authors: Oliver Maximilian Eder, Massimo Gregorio Totaro, Stefan ...

The field of computational materials science has been profoundly transformed by integrating deep learning and other machine learning methodologies. These sophisticated data-driven approaches have ...

In order to increase the dependability of quantum calculations, study explores the use of Shor’s algorithm in a noisy quantum ...

Unravelling how neural circuits generate complex behaviours remains one of the most compelling challenges in neuroscience. This endeavor requires tools that ...