A study led by UC Riverside researchers offers a practical fix to one of artificial intelligence's toughest challenges by ...
WisdomTree today announced the launch of the Efficient TIPS Plus Gold Fund (GDT) and Efficient Long/Short U.S. Equity Fund ...
The culmination of a two year effort on the part of three Sonoma commissions and the City Council, the final draft of a Tree ...
Understanding how dendrites that form in thin films could be the key to next-generation materials for beyond-5G ...
A team from the Faculty of Medicine and Health Sciences and the Institute of Neurosciences at the University of Barcelona ...
A team from the Faculty of Medicine and Health Sciences and the Institute of Neurosciences at the University of Barcelona ...
Gas sensing material screening faces challenges due to costly trial-and-error methods and the complexity of multi-parameter ...
Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...
Machine learning is transforming many scientific fields, including computational materials science. For about two decades, scientists have been using it to make accurate yet inexpensive calculations ...
However, NGD faces several challenges associated with gamma-ray generation and attenuation complexities. Unlike GGD, which utilizes 0.662 MeV monoenergetic γ rays from a 137 Cs source, NGD employs ...
Abstract: Accurate estimation of State-of-Charge (SoC) and core temperature is fundamental to optimizing the performance, safety, and longevity of Lithium-Ion Batteries (LiBs), particularly in ...