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

Age-related memory decline and neurodegenerative diseases like Alzheimer's are often thought of as irreversible. But the ...

If organizations want their learning and development efforts to produce results, they need to redesign the infrastructure ...

Here's the case for constraint-aware intelligence in the AI 2.0 era.

By explicitly modeling each step of a problem and gradually fading away supports, teachers can give students a clear path to mastering new content.

Why modern professional learning communities need to focus on adult learning, real problems, and spreading innovation--enter ...

I believe the leaders who can master the collaboration between government and industry will be the ones shaping the next ...

Robot perception and cognition often rely on the integration of information from multiple sensory modalities, such as vision, ...

This unsupervised strategy can help not only inexperienced animals, but also artificial intelligence, as it reduces the need ...

A novel machine learning version of the Opioid Risk Tool provides high precision screening for opioid use disorder in chronic pain patients.

Rules-based automation (RBA) and learning are two training mechanisms in robotics. While there are many others, these are two ...

With the rapid development of electric vehicles and energy storage systems (ESSs), accurate state-of-health (SOH) estimation for lithium-ion batteries has become crucial for ensuring safety and ...