Frustrated by AI industry claims of proving math results without transparency, a team of leading academics has proposed a better way ...

Mathematics, like many other scientific endeavors, is increasingly using artificial intelligence. Of course, math is the backbone of AI, but mathematicians are also turning to these tools for tasks ...

Models, by definition, are approximations: useful, informative, and inevitably incomplete, because they are the only way to ...

Artificial intelligence has attained an impressive series of feats—solving problems from the International Math Olympiad, conducting encyclopedic surveys of academic literature, and even finding ...

Tiny marine plankton that build calcium carbonate shells play an outsized role in regulating Earth’s climate, quietly pulling carbon from the atmosphere and helping lock it away in the deep ocean. New ...

Large language models struggle to solve research-level math questions. It takes a human to assess just how poorly they ...

ABSTRACT: We explore the performance of various artificial neural network architectures, including a multilayer perceptron (MLP), Kolmogorov-Arnold network (KAN), LSTM-GRU hybrid recursive neural ...

Using tumor growth modeling and informed neural networks as early predictive clinical endpoints. 2007 Continuous dispersion for invasive motility. 2009 Invasive growth with cell density and oxygen.

Malaria, an infectious disease transmitted by mosquitoes and caused by the Plasmodium parasite, poses a significant global public health challenge, especially in areas lacking modern medical ...