Deep neural networks (DNNs), the machine learning algorithms underpinning the functioning of large language models (LLMs) and ...

The accurate estimation of bearing stratum depth, the subsurface soil or rock layer depth that can support a foundation, is ...

Adverse drug reactions (ADRs) are a significant cause of hospital admissions and treatment discontinuation worldwide.

This article reviews the state-of-the-art literature on academic performance predictions using machine learning approaches in recent years. It details the variables analyzed, the algorithms ...

Northwestern University and University of California, Los Angeles (UCLA) scientists have developed a new process-based framework that provides a more accurate and dynamic approach to landslide ...

Methods A multimodal deep-learning model with transformers was developed for real-time recurrence prediction using baseline clinical, pathological, and molecular data with longitudinal laboratory and ...

Learn how to implement the RMSProp optimization algorithm step by step in Python. Perfect for deep learning beginners and enthusiasts! #Python #DeepLearning #RMSProp #MachineLearning Would you ...

A new way Burmese python researchers are learning how snakes affect the Florida Everglades Conservationists have tried everything to catch pythons from using traps, tracking devices, robot bunnies ...

Breaking: Kentucky AG accuses software company of inflating rent using pricing algorithm in new lawsuit Jul 10, 2025 Updated Jul 21, 2025 ...

An individual using an artificially generated voice to impersonate Secretary of State Marco Rubio contacted three foreign ministers and two U.S. officials last month, pretending to be the top U.S ...

Machine learning models using step count data of the two preceding weeks were able to predict hospitalization in the upcoming week for patients during systemic therapy, but not other adverse events.

Using ChatGPT to help write essays, the researchers say, can lead to “cognitive debt” and a “likely decrease in learning skills”. So what did the study find?