Author: Michael Lewis

Artificial intelligence has quietly become the load-bearing infrastructure of global commerce. Machine learning models predict what shoppers will want weeks before they order it, deep learning networks scan port terminals and warehouse floors, and algorithms reroute freight around storms, strikes, and congested customs queues. Yet as companies pour staggering sums into these technologies, a deceptively […]

Training a state-of-the-art large language model has always meant one thing: gathering enormous amounts of text in one place. But the texts that matter most — hospital records, private messages, corporate documents, the contents of a person’s phone — are precisely the texts nobody wants to surrender to a central server. A comprehensive survey published […]

A prediction engine that never touches raw patient data has delivered one of the highest accuracy figures yet reported for privacy-protected medical machine learning. In a study published on 29 April 2026 in the journal Quantum Machine Intelligence, Mohemmed Sha of the University of Roehampton in London, together with Mohamudha Parveen Rahamathulla and Shtwai Alsubai […]

The Algorithm That Explains Itself: Researchers Fuse Game Theory With a 1955 Statistics Test to Make AI Loan Decisions Trustworthy Every day, machine learning models embedded in the world’s banking systems quietly decide who receives credit and who is turned away, yet even their creators often struggle to say which piece of information tipped the […]

The Farm Just Got a Brain: Landmark Review Reveals AI Is Quietly Rewiring How the World Grows Its Food By 2050 the world will need to feed 9.7 billion people, rising to 10.9 billion by the end of the century, and the agricultural systems that carried humanity through the past century are buckling under the […]

Lost but not clueless: Robotic fish maps underwater worlds while doubting its own sense of direction Every robot that slips beneath the ocean surface trades certainty for endurance. GPS signals die within moments of a dive, and the underwater gliders prized for staying at sea for weeks must steer by dead reckoning, their sense of […]

Artificial intelligence researchers have proposed a new way to make sense of one of machine learning’s fastest-growing challenges: detecting unusual behavior in data streams that contain many variables changing at once. The study, published in Artificial Intelligence Review, introduces a unified taxonomy for multivariate time series anomaly detection, or MTSAD, a field concerned with identifying […]

Introduction Running a small language model locally is straightforward. Running one productively — inside a real development workflow, with proper context, tool access, and iteration speed — is a different problem entirely. The gap between “I got a model responding in my terminal” and “I have a local AI setup that actually improves how I […]

The unprecedented convergence of AI and Machine Learning in Biology with the life sciences, often described as AI in biology, represents a milestone in scientific progress. AI/ML, once the exclusive tools of computer scientists, is now being incorporated into several scientific disciplines, with biology at the forefront. At the vanguard of a new era of […]