Data is the life-blood of physical AI. Collecting real-life data is expensive. Generative AI and diffusion to create ...

How many fossils does it take to accurately train an image-based AI algorithm? According to a new study co-authored by Bruce ...

AI doesn’t just simulate human thinking and language—it mimics our cognitive biases too. Overconfidence is one of the most powerful and overlooked issues.

A recent analysis of thousands of social media posts reveals that losing a job alters the narrative landscape of a person’s ...

Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and ...

Discover how proteomics data analysis and bioinformatics tools enhance mass spectrometry workflows for robust findings.

Artificial intelligence can help to predict how well patients with hip osteoarthritis will be able to walk again after an ...

Explore technical features and comparative strengths of MaxQuant, Proteome Discoverer, FragPipe, and DIA-NN workflows.

Abstract: In this work, the possibility of applying machine learning (ML) techniques to analyze and predict radio wave propagation losses in urban environments is explored. Thus, from a measurement ...

Abstract: Learning over time for machine learning (ML) models is emerging as a new field, often called continual learning or lifelong Machine learning (LML). Today, deep learning and neural networks ...

This article appears in the December 2025 issue of The American Prospect magazine. Subscribe here. Earlier this year, a slightly balding man in spectacles, a black T-shirt, and bright high-top ...

The workflow encompasses patient datacollection and screening, univariate regression analysis for initial variable selection, systematic comparison of 91 machine learning models,selection and ...