Built on a new architecture KumoRFM-2 achieves state-of-the-art results across 41 predictive tasks and four major benchmarks, ...

The result supports earlier studies that used brain imaging to find evidence that the same neural circuits are involved in ...

Scientists have developed a new method to measure ocean surface currents over large areas in greater detail than ever before.

Researchers have demonstrated a new training technique that significantly improves the accuracy of graph neural networks (GNNs)—AI systems used in applications from drug discovery to weather ...

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 ...

Intel, IBM and MythWorx are shrinking AI to run on 20 watts, the same power as the human brain. Inside the neuromorphic race ...

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

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

NeurIPS NeurIPS, or Neural Information Processing Systems, is pretty much the biggest gathering for anyone serious ...

The editorial, "Dynamics-driven medical big data mining: dynamic approaches to early disease forecasting and individualized care," published in Intelligent Medicine (February 2026, Volume 6, Issue 1), ...