Researchers from Nanjing University and Carnegie Mellon University have introduced an AI approach that improves how machines learn from past data—a process known as offline reinforcement learning.

Countless saints and mystics have reported inexplicable messages from heaven, but scientists say there is an explanation ...

While human activities cause many wildfires, lightning strikes in remote ... we need new modeling approaches to better understand and predict its effects. Machine learning offers significant potential ...

Here is a look at root cause analysis (RCA) challenges in firmware development and their AI-powered solutions.

A research team led by Prof. Mao Miaohua at the Yantai Institute of Coastal Zone Research of the Chinese Academy of Sciences, ...

20+ Machine Learning Methods in Groundbreaking Periodic Table From MIT, Google, Microsoft Your email has been sent A new “periodic table for machine learning,” is reshaping how researchers ...

Genome editing has advanced at a rapid pace with promising results for treating genetic conditions -- but there is always room for improvement. A new paper showcases the power of scalable protein ...

Cardiac fibroblasts (CF) can become activated and produce excessive extracellular matrix, contributing to fibrotic remodeling ...

It can be relatively cheap to gather a lot of bio-signal data. To teach a machine-learning algorithm to find a relationship between bio-signals and health outcomes, however, you need to teach the ...

When machines fall short, we adjust. When students do, we blame. Here's what that says about learning and instruction.