A team of EPFL researchers has developed an AI algorithm that can model complex dynamical processes while taking into account ...

A new study introduces a global probabilistic forecasting model that predicts when and where ionospheric disturbances—measured by the Rate of total electron content (TEC) Index (ROTI)—are likely to ...

A machine-learning loop searched 14 million battery cathode compositions and found fivefold performance gains across four metrics using fewer than 200 experiments.

It’s more than just code. Scientists have found a way to "dial" the hidden personalities of AI, from conspiracy theorists to social influencers.

Scientists may have narrowed down the landing site of the Soviet Union's Luna 9, which in 1966 became the first spacecraft to ...

The March 2026 issue of NEJM Catalyst Innovations in Care Delivery is a special theme issue on the hard work of implementing artificial intelligence in real-world ...

Korea University researchers have developed a machine-learning framework that predicts solar cell efficiency from wafer quality, enabling early wafer screening and optimized production paths. Using ...

Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and ...

Mark Zuckerberg’s court testimony that companies should build “useful” products has reignited debate on morality of algorithms ...

The CMS Collaboration has shown, for the first time, that machine learning can be used to fully reconstruct particle ...

To his credit, Kasy is a realist here. He doesn’t presume that any of these proposals will be easy to implement. Or that it will happen overnight, or even in the near future. The troubling question at ...