Recently, Xi'an Thermal Engineering Research Institute Co., Ltd. obtained an impressive patent titled "Method and System for Predicting Frequency Regulation Commands of Molten Salt Thermal Energy ...

Theoretical physicists use machine-learning algorithms to speed up difficult calculations and eliminate untenable theories—but could they transform what it means to make discoveries?

Scientific Machine Learning: Theory, Algorithms, and Applications September 27, 2025 - 12:00 AM Eastern Time September 28, 2025 - 1:00 PM Eastern Time Location: LWSN 1130 Poster session location: ...

Their proposed model, outlined in a paper published in Nature Human Behavior, combines advanced machine learning algorithms with behavioral science theory.

For robots to be predictable and adaptive, they need a priority-based architecture and a new legal model, argues a researcher ...

The machine learning model the team implemented overcame the challenge of limited data to incorporate the alpha conotoxins' amino acid sequences, secondary structure propensities and electrostatic ...

The machine learning model analyzes host characteristics and virus genetics to identify potential animal reservoirs and geographic areas where new outbreaks are more likely to occur.

After training a machine learning model on the patients’ functional brain images and clinical assessments, the researchers found that the model was able to predict an individual’s PTSD symptom ...

Can readily available laboratory data train and test the performance of a machine learning (ML)–based risk models for abnormal lymphocytosis associated with chronic lymphocytic leukemia (CLL)?

Machine learning model helps identify patients at risk of postpartum depression Date: May 19, 2025 Source: Mass General Brigham Summary: Postpartum depression (PPD) affects up to 15 percent of ...