Through a novel combination of machine learning and atomic force microscopy, researchers in China have unveiled the molecular ...
The AI Annotation Market is growing rapidly as demand rises for high-quality labeled data across computer vision and NLP use cases, with the U.S. segment expanding from USD 0.66 billion in 2025E to ...
Antimicrobial resistance (AMR) is an increasingly dangerous problem affecting global health. In 2019 alone, ...
Cui, J.X., Liu, K.H. and Liang, X.J. (2026) A Brief Discussion on the Theory and Application of Artificial Intelligence in ...
In a study published in Frontiers in Science, scientists from Purdue University and the Georgia Institute of Technology ...
Insurance companies aren't experimenting with AI. They're deploying it at scale across three critical functions that directly ...
In this architecture, the training process adopts a joint optimization mechanism based on classical cross-entropy loss. WiMi treats the measurement probability distribution output by the quantum ...
Black Forest Labs Inc., a startup that develops artificial intelligence models optimized for image generation tasks, has raised $300 million in funding.
Abstract: In the era of large-scale machine learning, large-scale clusters are extensively used for data processing jobs. However, the state-of-the-art heuristic-based and Deep Reinforcement Learning ...
Medical imaging has long been a cornerstone of modern healthcare, enabling doctors to detect diseases, monitor progress, and guide treatments. Today, the integration of machine learning is pushing the ...
Abstract: Classifying metals is an essential task in all industries to make sure the materials used in the processes are safe and meet the required standards all while enhancing operational and cost ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results