Personally identifiable information has been found in DataComp CommonPool, one of the largest open-source data sets used to ...

Machine learning is an integral part of high-stakes decision-making in a broad swath of human-computer interactions. You ...

Large language models (LLMs) excel at using textual reasoning to understand the context of a document and provide a logical ...

Training a machine learning model might sound tricky at first, but it’s actually pretty doable when you break it into steps. Whether you’re working with customer info, photos, or trying ...

WeTransfer, the service that allows users to send large files to others, is explaining itself to clients and updating its ...

Dr. James McCaffrey presents a complete end-to-end demonstration of the kernel ridge regression technique to predict a single numeric value. The demo uses stochastic gradient descent, one of two ...

This study presents a non-invasive approach to detect anxiety and depression through gait analysis and machine learning, ...

With the increased application of machine learning (ML) algorithms to decision-making processes, the question of fairness of such algorithms came into the focus. Fairness testing aims at checking ...

Two June rulings, and more queued up—what legal professionals need to know about the fair use decisions rewriting today’s AI playbook, and the next wave of AI-copyright showdowns.

Healthcare Data Analytics is transforming the medical world by turning raw health information into actionable insights. From personalized treatments and early diagnoses to hospital efficiency and ...

By leveraging neural networks, the emerging field of scientific machine learning (SciML) offers novel approaches to address complex problems governed by partial differential equations (PDEs). In ...