Superhydrides are materials that can store significantly more hydrogen than conventional hydrides and present a highly ...

Molecular machine learning (ML) underpins critical workflows in drug discovery, material science, and catalyst optimization ...

Imran Ahamed is a distinguished Machine Learning Engineer and Data Scientist with extensive experience in designing and deploying AI-driven solutions. His work spans across the retail and logistics ...

In collaboration with Chicago Booth, the Master’s Program in Computer Science (MPCS) offers a distinctive joint MBA/MPCS ...

I've identified collaboration as one of the critical gaps that organizations must bridge to transform their data science ...

A review on machine learning-based prediction methods for drug side effects sorts out methods for predicting side effects ...

Laser-based metal processing enables the automated and precise production of complex components, whether for the automotive industry or for medicine. However, conventional methods require time- and ...

If data used to train artificial intelligence models for medical applications, such as hospitals across the Greater Toronto ...

IIPE offers a Web-based M.Tech in Data Science & Machine Learning for professionals, with flexible scheduling and fee waivers ...

DataRobot, the agentic workforce platform, today announced that the company has been recognized by Gartner® as a Leader in the Magic Quadrant™ for Data Science and Machine Learning (DSML) Platforms ...

A group of 11 students took part in a class at Alfred University that taught them how to use machine learning to predict battery health. Students ...