The natural protein universe is vast, and yet, going beyond and designing new proteins not observed in nature can yield new ...

The Recentive decision exemplifies the Federal Circuit’s skepticism toward claims that dress up longstanding business problems in machine-learning garb, while the USPTO’s examples confirm that ...

TrainCheck uses training invariants to find the root cause of hard-to-detect errors before they cause downstream problems, ...

An international team led by Einstein Professor Cecilia Clementi in the Department of Physics at Freie Universität Berlin ...

An artificial intelligence (AI) model can predict where ancient Latin texts come from, estimate how old they are and restore ...

A research team from the Ningbo Institute of Materials Technology and Engineering (NIMTE) of the Chinese Academy of Sciences ...

Understanding and predicting complex physical systems remain significant challenges in scientific research and engineering. Machine learning models, while powerful, often fail to follow the ...