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 ...

Researchers have proposed a SENet-CNN-Transformer model for predicting electric vehicle charging duration, aiming to improve ...

How can AI stabilize the power grid? New research uses biomimetic neural networks to manage the uncertainty of solar and wind energy, reducing hardware costs and preventing blackouts.

Among the many steps along the road to high-performance AI, one of the most important was taken in 2007 by Fei-Fei Li, then an assistant professor in Princeton’s computer science department. Using ...

Artificial intelligence (AI) and machine learning (ML) systems have become central to modern data-driven decision-making. They are now widely applied in fields as diverse as healthcare, finance, ...

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.

Researchers developed AI tools that designed drug molecules while accounting for protein movement during binding. The tools ...

Challenging the classic view, two cognitive scientists argue in a new review that categorization is not a late, specialized ...

ElevenLabs' AI audio models are set to revolutionize business communication with human-like speech synthesis. Audio models ...

How does the brain categorize objects? Scientists reveal that categorization is a predictive process where the brain prepares an action plan before perceiving a stimulus.