The 2,500 questions that make up the exam are specifically designed to probe the outer limits of what today’s AI systems cannot do.

As well as behavioural and technical issues, firms must also solve a variety of organisational problems to make AI work for ...

As well as behavioural and technical issues, firms must also solve a variety of organisational problems to make AI work for ...

Google DeepMind researchers have introduced ATLAS, a set of scaling laws for multilingual language models that formalize how model size, training data volume, and language mixtures interact as the ...

ABSTRACT: Cognitive impairment is a frequent and debilitating outcome of stroke, profoundly affecting patient independence, recovery trajectories, and long-term quality of life. Despite its prevalence ...

Abstract: Neural networks (NNs) based wind power forecasting (WPF) under extreme weather conditions faces challenges, including limited sample sizes, domain shift problem between conventional and ...

Background: The diagnosis of occupational pneumoconiosis requires more accurate predictive models. The purpose of this study is to screen blood markers associated with early pneumoconiosis development ...

According to God of Prompt on Twitter, DeepMind researchers have identified a phenomenon called 'Grokking' where neural networks may train for thousands of epochs with little to no improvement, then ...

Modern neural networks, with billions of parameters, are so overparameterized that they can "overfit" even random, structureless data. Yet when trained on datasets with structure, they learn the ...

Forbes contributors publish independent expert analyses and insights. Faculty member at Columbia University. Founder and CEO of OORT. Graph on a trader's computer screen, representing the concept of ...

A West Milwaukee pizza factory worker was tragically killed after being crushed by a robotic machine on shift, authorities confirmed. The victim, identified as 45-year-old Robert Cherone of Elkhorn, ...