Mînzu, V. and Arama, I. (2025) A New Method to Predict the Mechanical Behavior for a Family of Composite Materials. Journal ...

In this important work, the authors present a new transformer-based neural network designed to isolate and quantify higher-order epistasis in protein sequences. They provide solid evidence that higher ...

Li, Y. and Liu, J. (2025) An Accessible Predictive Model for Alzheimer’s Disease Based on Cognitive and Neuropathological ...

Researchers studying a Swedish aging cohort found no overall link between air pollution and telomere shortening, a key marker ...

Autonomous vehicles, connected ecosystems, and smart factories are only the beginning. Generative AI is pushing the auto ...

Students who are curious, organized, and outgoing may be more likely to incorporate generative artificial intelligence tools ...

Objective This study examined the patterns and persistence of SARS-CoV-2 seropositivity among college students from March to ...

For millennia, aging has been viewed as an immutable, inevitable decline. However, a scientific revolution is underway, ...

“When data is not accurate, it can easily mislead and lead to costly consequences. For instance, a location like Upperhill ...

There are also trade-offs in creativity. Because the energy critic favors low-energy (i.e., high-probability) text, the model ...

While numerous researchers claim that the minimization of prediction error (PE) is a general force underlying most brain functions, others argue instead that PE minimization drives low-level, ...

Thriving in an exponential world requires more than a better strategy. It demands quantum thinking, the shift from linear ...