University of Missouri researchers have released the world's largest collection of protein models with quality assessment—a groundbreaking new resource that could accelerate drug development for ...
By applying new methods of machine learning to quantum chemistry research, Heidelberg University scientists have made significant strides in computational chemistry. They have achieved a major ...
Abstract: In recent years, data-driven and machine learning-based natural language processing (NLP) technologies have effectively addressed various challenges. To further enhance the performance of ...
Abstract: Numerous binary variables and constraints greatly affect the computation of large-scale network-constrained unit commitment (NCUC) problems. With the integration of massive renewable energy ...
New benchmark shows top LLMs achieve only 29% pass rate on OpenTelemetry instrumentation, exposing the gap between ...
Vladimir Zakharov explains how DataFrames serve as a vital tool for data-oriented programming in the Java ecosystem. By ...
Data centers have caused the demand for gas-fired power in the US to explode over the past two years, according to new research released Wednesday. More than a third of this new demand, the research ...
For the past two years, the conversation around AI infrastructure has focused on chips, models, and capital. In practice, that isn’t what’s slowing projects down. What matters is electricity–where it ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results