Artificial Intelligence, which people commonly refer to as AI, currently transforms healthcare systems throughout the world. The healthcare industry now utilize ...

Deep-Learning Paradigm Achieves Global Precision in Nuclear Charge Density PredictionsThe charge density distribution of an atomic nucleus is a ...

Infinite dilution activity coefficient is a key thermodynamic parameter in solvent design for chemical processes. Although conductor-like screening ...

This proposal outlines a machine learning-based approach aimed at improving productivity in haulage operations within open-pit mining. Since hauling accounts for up to 60% of total operational costs, ...

Long-term lithium therapy remains the most effective maintenance treatment for bipolar disorder, yet it poses a significant risk of progressive renal impairment in a subset of patients. Early ...

Dao is part of a central group that provides data and machine-learning capabilities to the company. He ensures the data team has the right tools to complete their work. He also aims to make it easy ...

The Uncertainty Engine is guiding research in fusion plasma physics. Could similar approaches benefit fission research as well?

Google-Tesla MagNet Challenge is an annual competition. It’s designed to accelerate innovation in magnetic modeling using ...

High‑NA EUV's reduced field size is driving new innovation in optical proximity correction and mask synthesis.

Researchers at the Department of Energy's SLAC National Accelerator Laboratory and collaborating institutions recently built a generative AI model that can recreate molecular structures from the ...

This article digs into how machine learning (ML) and artificial intelligence (AI) contribute to the optimization of green energy systems and electric vehicles (EVs).

AI scenario planning doesn’t attempt to be “right” in the traditional forecasting sense. Its real value lies in systematic ...