Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions or values from labeled historical data, enabling precise signals such as ...

Hao Yu (National University of Defense Technology), Chuan Ma (Chongqing University), Xinhang Wan (National University of Defense Technology), Jun Wang (National University of Defense Technology), Tao ...

Breakthrough AI foundation model called BrainIAC is able to predict brain age, dementia, time-to-stroke, and brain cancer from brain magnetic resonance imaging (MRI).

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.

Proposed as an alternative to chemical mechanical polishing (CMP), in which abrasive particles are dispersed in liquid, the method uses vertically aligned carbon nanotubes fixed in polyurethane 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.

BrainIAC is a foundation AI model for brain MRIs that spots dementia risk, tumors, and aging better than old tech by ...

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

Discover Experiential Reinforcement Learning (ERL), a revolutionary AI training paradigm that allows language models to learn from their own reflections, turning failure into structured wisdom without ...