NASCAR is putting artificial intelligence on the organizational depth chart, naming longtime sports and media executive ...

Generative AI models are usually built on deep learning, where multi-layered neural networks scan through endless pieces of ...

In a recent paper, SFI Complexity Postdoctoral Fellow Yuanzhao Zhang and co-author William Gilpin show that a deceptively ...

Learn how artificial intelligence transforms poultry microbiome data into actionable farm decisions. Discover AI-driven ...

This issue aims to showcase how machine learning (ML) and Artificial Intelligence (AI) approaches can be used with real world data (RWD) sources to generate ...

Last June, the FDA signaled how far that integration has progressed when it announced the use of Elsa, a generative AI tool, to support aspects of the drug approval process. While regulatory adoption ...

Nine machine learning models—decision tree, random forest (RF), extreme gradient boosting (XGBoost), light gradient boosting machine (LightGBM), support vector machine, elastic net, logistic ...

AI systems are "trained" using massive datasets, and the quality of this data determines the model's performance. AI can ...

Artificial intelligence is becoming progressively more prevalent in medical practice, celebrated for increasing accuracy and ...

This article discusses legal issues surrounding the harms caused by artificial intelligence, and where liability may lie if a neural network is not functioning correctly in the real world.Artificial ...

Explore the Types of Machine Learning and their impact on AI. Learn how these core frameworks drive digital innovation and ...

Abstract: High-frequency induction logging is a crucial technique in subsurface exploration, particularly in the oil and gas industry. It involves transmitting electromagnetic signals into the ground ...