Selecting the right material from countless possibilities remains a central hurdle in materials discovery. Theory-driven ...

The machine learning platform is expected to be applicable to other organoid systems and may contribute to advances in regenerative medicine, disease modeling, and drug discovery.

When faced with difficult tasks, sometimes people hit a mental wall and make the decision to "sleep on it." Returning to the task after sleeping, they often perform better. Why? Rhythmic brain ...

Machine Learning - Predicting Personality A machine learning project focused on predicting personality traits, specifically classifying individuals as either extroverts or introverts based on various ...

Understanding and predicting surfactants’ critical micelle concentration (CMC) remains a key challenge for the rational design of functional amphiphiles. In this work, we develop a deep learning ...

Sintered silver (Ag), as the most promising chip interconnect material for high-temperature silicon carbide (SiC) power module packaging, is often subjected to thermal stress during the packaging ...

The prediction and modeling of ionospheric total electron content (TEC) have consistently been a focal point for researchers, as it holds significant implications for satellite positioning, navigation ...

Researchers from the Massachusetts Institute of Technology (MIT) Jameel Clinic for Machine Learning in Health have announced the open-source release of Boltz-2, which now predicts molecular ...

Metabolomics and machine learning identified serum biomarkers that predict ulcerative colitis extent, offering insight beyond disease activity levels.

University of Washington grad receives ACM Doctoral Dissertation Award for developing machine learning algorithms to improve mental health Ashish Sharma's work shown effective in populations with ...