Scientists at the AI and Digital Science Institute of the HSE Faculty of Computer Science have developed a model capable of ...

The multiple condition (MC)-retention model is an uncertainty-aware graph-based neural network that predicts liquid chromatography (LC) retention times across multiple column chem ...

The advent of high-density recording technologies, such as Neuropixels and large-scale calcium imaging, has provided an unprecedented look into the ...

AI systems are "trained" using massive datasets, and the quality of this data determines the model's performance. AI can ...

CNS toxicity remains one of the leading causes of failure in drug development, yet it is rarely detected in preclinical ...

Americans flocked to prediction markets last year. Now, it’s time to pay taxes on winnings. How do you do that? Great ...

Over the past decades, computer scientists have introduced numerous artificial intelligence (AI) systems designed to emulate the organization and functioning of networks of neurons in the brain.

A new type of computer chip that uses the physics of materials to process information could make some artificial intelligence ...

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.

How does the brain create mental images? A new study reveals that visual imagination and perception share a common neural code.