A new artificial intelligence framework developed at Cornell can accurately predict the performance of battery electrolytes while revealing the chemical principles that govern them, providing ...

AI is breaking the artifact economy. But that disruption is also a kind of forced reckoning: It creates pressure to move ...

Microelectromechanical systems (MEMS) electrothermal actuators are widely used in applications ranging from micro-optics and microfluidics to nanomaterial testing, thanks to their compact size and ...

Real-world deployments show 40% test cycle efficiency improvement, 50% faster regression testing, and 36% infrastructure cost savings.

High-entropy alloys are promising advanced materials for demanding applications, but discovering useful compositions is difficult and expensive due to the vast number of possible element combinations.

Researchers use a machine learning approach to improve the stability and performance of antibodies inside cells.

Machine learning is an essential component of artificial intelligence. Whether it’s powering recommendation engines, fraud detection systems, self-driving cars, generative AI, or any of the countless ...

The MIT xPRO Driving Innovation with Generative AI program prepares students for industry employment through its practical ...

In a new study published in Physical Review Letters, researchers used machine learning to discover multiple new classes of ...

Artificial intelligence (AI) is rapidly transforming the way we work. While AI is impacting many traditional jobs, it is also creating new and better career opportunities. Understanding this need, the ...

Machine learning has advanced significantly in recent years and is being used in higher education to perform various types of data analysis. While the literature demonstrates the application of ...