Auronda Scalera and Dr. Alfredo Cramerotti, an internationally recognized curatorial duo working at the intersection of ...

What if reducing greenhouse gas emissions wasn’t just about upgrading industrial facilities, but about how we use water at home and in cities? A new ...

Specializing in Java-based microservices, Angular platforms, and cloud-native deployment, he has architected ...

Volodymyr Kuleshov, Nathan Fenner, and Stefano Ermon: "Accurate uncertainties for deep learning using calibrated regression." International Conference on Machine Learning. PMLR, 2018. Hao Song, Tom ...

A research team led by Prof. Wan Yinhua from the Institute of Process Engineering (IPE) of the Chinese Academy of Sciences ...

Machine learning framework accelerates theoretical design of nonlinear optical materials. Mar 17, 2025. Combining pressure, electrochemistry to synthesize superhydrides. Nov 15, 2021.

An AI approach developed by researchers from the University of Sheffield and AstraZeneca, could make it easier to design ...

In a comprehensive Genomic Press interview, Stanford University researcher Eric Sun reveals how machine learning is ...

Machine learning is the ability of a machine to improve its performance based on previous results. Machine learning methods enable computers to learn without being explicitly programmed and have ...

The 10 hottest data science and machine learning tools include MLflow 3.0, PyTorch, Snowflake Data Science Agent and ...

ARIE is the IDEA Institute’s cutting-edge, equity-focused chatbot, developed to support learning, discovery, and academic ...