Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions ...

Medical researchers at Mass General Brigham say the self-supervised foundational model can identify inherent features from ...

MIT researchers unveil a new fine-tuning method that lets enterprises consolidate their "model zoos" into a single, continuously learning agent.

Breakthrough AI foundation model called BrainIAC is able to predict brain age, dementia, time-to-stroke, and brain cancer ...

Researchers at Pohang University of Science and Technology (POSTECH) have developed an artificial intelligence approach that addresses a key bottleneck in analog semiconductor layout design, a process ...

LLMs tend to lose prior skills when fine-tuned for new tasks. A new self-distillation approach aims to reduce regression and ...

In a study published in Robot Learning journal, researchers propose a new learning-based path planning framework that allows mobile robots to navigate safely and efficiently using a Transformer model.

Mass General Brigham investigators have developed a robust new artificial intelligence (AI) foundation model that is capable ...

Mass General Brigham researchers are betting that the next big leap in brain medicine will come from teaching artificial ...

Maryland senators have taken up a bill to extend a psychedelics task force through the end of 2027 to develop updated recommendations on expanding therapeutic access to the novel drugs and potentially ...

Mass General Brigham investigators have developed a robust new artificial intelligence (AI) foundation model that is capable ...

Graph out-of-distribution (OOD) generalization remains a major challenge in graph neural networks (GNNs). Invariant learning, aiming to extract invariant features across varied distributions, has ...