Rohan Nambiar ’27, an Associate Editorial editor, is a double concentrator in Mathematics and Economics in Leverett House. What’s in a grade? Grades are tools to promote learning. Yet the 20 percent ...

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 ...

As social media becomes increasingly reliant on algorithmic feeds, creators are navigating a new normal: Just because you post something doesn’t mean your followers will see it. “I think that 2025 was ...

This article originally appeared in the Off-Script print issue, in stands November 2025. It has not been updated and some information may be out of date. At the University of Utah, some of the most ...

An artificial-intelligence algorithm that discovers its own way to learn achieves state-of-the-art performance, including on some tasks it had never encountered before. Joel Lehman is at Lila Sciences ...

Forbes contributors publish independent expert analyses and insights. Dr. Lance B. Eliot is a world-renowned AI scientist and consultant. In today’s column, I examine the importance of performing ...

TikTok's owner, ByteDance, is expected to sell its US business to a buyer consortium. The new owners will retrain TikTok's content-recommendation algorithm, the White House said. TikTok staffers and ...

An international team led by the Clínic-IDIBAPS-UB along with the Institute of Cancer Research, London, has developed a new method based on DNA methylation to decipher the origin and evolution of ...

Abstract: In this article, we present a model-free output feedback (OPFB) Q-learning algorithm to find the optimal Nash equilibrium strategy for the decentralized control problem (DCP) of nonzero-sum ...

ABSTRACT: We consider various tasks of recognizing properties of DRSs (Decision Rule Systems) in this paper. As solution algorithms, DDTs (Deterministic Decision Trees) and NDTs (Nondeterministic ...