A powerful artificial intelligence (AI) tool could give clinicians a head start in identifying life-threatening complications ...

Deep learning is increasingly used in financial modeling, but its lack of transparency raises risks. Using the well-known Heston option pricing model as a benchmark, researchers show that global ...

Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...

Insulin resistance - when the body doesn't properly respond to insulin, a hormone that helps control blood glucose levels - ...

A recent study suggests that a freely available AI tool could help predict dangerous complications after stem cell transplants.

Robotics is entering a new phase where general-purpose learning matters as much as mechanical design. Instead of programming ...

Scott Doty, CEO of BrainStorm Academic Solutions, notes that core structural models still reflect frameworks developed in ...

COMET, a novel machine learning framework, integrates EHR data and omics analyses using transfer learning, significantly enhancing predictive modeling and uncovering biological insights from small ...

As AI tools evolve at a rapid pace, smaller, more flexible learning environments are well-positioned to test new approaches, develop expectations, and adjust as needed.

South Korean researchers have developed a guided-learning framework that accurately predicts PV power without requiring irradiance sensors during operation, using routine meteorological data instead.