When exposed to periodic driving, which is the time-dependent manipulation of a system's parameters, quantum systems can ...

Enterprises face data overload but struggle to unify insights amid regulations and rising GenAI demands. Ravi Kumar Kota’s ...

Imagine cells navigating through a complex maze, guided by chemical signals and the physical landscape of their environment.

Neurosymbolic AI combines the learning of LLMs with teaching the machine formal rules that should make them more reliable and ...

This manuscript introduces a useful protein-stability-based fitness model for simulating protein evolution and unifying non-neutral models of molecular evolution with phylogenetic models. The model is ...

Large language models (LLMs) -- the advanced AI behind tools like ChatGPT -- are increasingly integrated into daily life, assisting with tasks such as writing emails, answering questions, and even ...

Google is rolling out a feature in its Gemini API that the company claims will make its latest AI models cheaper for third-party developers. Google calls the feature “implicit caching” and ...

As data de-identification facilities become more common, less static models of consent are needed. Current consent methods do not adequately address today's ability to link datasets from different ...

The complexity of modern power systems requires enhanced dynamic models and simulation tools to ensure secure and reliable operations as we transition towards net-zero emissions. “EirGrid is ...