Researchers at Northwestern University and the Toyota Research Institute have successfully applied machine learning to guide the synthesis of new nanomaterials, eliminating barriers associated with ...

Automating through machine learning (ML) allowed Amazon.com to predict future demand for millions of products globally in seconds. Leaders at the multinational tech giant successfully reinvented ...

Key takeaways: Machine learning models may accurately predict outcome measures for patients undergoing MPFL reconstruction. Machine learning also predicted return to sports and recurrent instability.

The new machine learning model developed by Plonsky and his colleagues draws from a behavioral science framework known as BEAST (Best Estimate and Sampling Tools).

Environmental scientists are increasingly using enormous artificial intelligence models to make predictions about changes in weather and climate, but a new study by MIT researchers shows that bigger ...

Researchers in Denmark say they have used powerful machine-learning algorithms to accurately predict certain aspects of human lives, including how early someone is likely to die.

Sticking to an exercise routine is a challenge many people face. But a research team is using machine learning to uncover what keeps individuals committed to their workouts.

Machine learning can assess the effectiveness of mathematical tools used to predict the movements of financial markets, according to new research based on the largest dataset ever used in this area.

Machine learning models trained on electronic health record data were able to successfully predict diagnostic progression to schizophrenia and bipolar disorder among patients with other mental ...

Gather student data, make predictions about their learning—and perhaps their future. For years education companies have tried to apply technologies to better understand students and tailor their ...

Machine learning predictions and system updates in real-time Huyen's analysis refers to real-time machine learning models and systems on 2 levels.

In a small study, they successfully trained a machine learning algorithm to predict, in hindsight, which patients with melanoma would respond to treatment and which would not respond.