Large Language Models (LLMs) have changed how we handle natural language processing. They can answer questions, write code, ...

Across the United States, no hospital is the same. Equipment, staffing, technical capabilities, and patient populations can all differ.

Netflix has introduced a significant enhancement to its Metaflow machine learning infrastructure: a new Config object that ...

Data scientists at General Motors (GM) are using AI and machine learning to pinpoint ideal EV charging station locations across the US.

Examples are milk, smoke and gelatin.) Machine learning was used to optimize the design of the shell's "opener" molecule, which they call the "spider" due to its geometry. As they wrote ...

However, the inherent class imbalance between elephant and mouse flows presents a challenge for machine learning models ... and logarithms of flow size. Analysis reveals that one of our proposed ...

Fabrizio Sebastiani, director of research at the National Council for Research in Italy (CNR), has been using machine learning – a subset of artificial intelligence (AI) – to establish the ...

Early detonation flow field designs relied heavily on two-dimensional, idealized models. Yet, the aerodynamics research community now widely acknowledges the crucial role of three-dimensional, curved ...

Background As the use of flow diverters has expanded in recent years, predicting successful outcomes has become more challenging for certain aneurysms. Objective To provide neurointerventionalists ...

Traditional statistical and machine learning methods struggle to handle both temporal ... reducing the impact of non-stationarity and handling long-range dependencies of traffic flow datasets. These ...

State Key Laboratory of Analytical Chemistry for Life Science, School of Chemistry and Chemical Engineering, Nanjing University, Nanjing 210023, China State Key Laboratory of Digital Medical ...