In recent years, artificial intelligence has become more accessible than ever before. Powerful libraries, automated platforms ...

Researchers have proposed a personalized longitudinal motion planning policy for intelligent vehicles that combines reinforcement learning with imitation learning. The approach is designed to reduce ...

GOES-East satellite observations and machine learning have, for the first time, connected this observed structure to the much ...

GRASP is a new gradient-based planner for learned dynamics (a “world model”) that makes long-horizon planning practical by (1 ...

A new AI-driven method called GOFLOW is turning weather satellite images into highly detailed maps of ocean currents. By ...

Newly published research suggests that AI can subliminally learn. This is exciting but also disconcerting. Evil AI could ...

Read more about AI can’t deliver climate gains without strong governance and capacity building on Devdiscourse ...

Published in Microplastics, the study titled “Canonical Spectral Transformation for Raman Spectra Enables High Accuracy AI Identification of Marine Microplastics” introduces a novel data processing ...

This study highlights the potential for using deep learning methods on longitudinal health data from both primary and ...

Modality-agnostic decoders leverage modality-invariant representations in human subjects' brain activity to predict stimuli irrespective of their modality (image, text, mental imagery).