“Based on their training data, they just model the probability that a given token, or word, will follow a set of tokens that ...

Modern neural networks, with billions of parameters, are so overparameterized that they can "overfit" even random, ...

Combining newer neural networks with older AI systems could be the secret to building an AI to match or surpass human ...

Abstract: Traffic flow imputation aims to estimate missing flow values within a traffic network. While machine learning methods have been widely applied to this challenge and outperformed conventional ...

Aristotle is credited with the proverb "One swallow does not make a summer." In nature, the arrival of these migratory birds often announces the change of seasons, a universal symbol of renewal and ...

Rick: A lot of parents and educators may be familiar with the phrase “mastery learning” but not have a clear idea what it means in practice. What is it exactly? Scott: My journey began in 2012 when I ...

Rick: A lot of parents and educators may be familiar with the phrase “mastery learning” but not have a clear idea what it means in practice. What is it exactly? Scott: My journey began in 2012 when I ...

Artificial Intelligence (AI) is usually built with silicon chips and code. But scientists are now exploring something very different. In 2025, they are growing brain organoids, which are small, living ...

Abstract: Existing machine learning (ML)-based inverse design methods for electromagnetic (EM) structures encounter two major challenges: impractical input requirements and nonuniqueness effects. This ...

Astronomers have turned the Atacama Large Millimeter/submillimeter Array (ALMA) into a time machine to peer back in cosmic time to 1 billion years after the Big Bang. This has revealed previously ...

This guest essay reflects the views of Nirali Somia, a graduate student at Cold Spring Harbor Laboratory. It is part of a series of essays from current researchers at the Cold Spring Harbor Laboratory ...