Using generative AI to design, train, or perform steps within a machine-learning system is risky, argues computer scientist Micheal Lones in a paper publishing April 22 in the Cell Press ...

On February 14, a researcher who was frustrated with reproducing the results of a machine learning research paper opened up a Reddit account under the username ContributionSecure14 and posted the ...

OpenAI has unveiled “PaperBench,” a benchmark designed to evaluate how effectively AI agents can replicate innovative machine learning research. This initiative is a cornerstone of OpenAI’s broader ...

For many machine learning teams, the primary bottleneck in artificial intelligence development is no longer compute or data, but the human capacity to create and test new ideas at scale. With more ...

In a future perhaps not too far away, artificial intelligence and its subfield of machine learning (ML) tools and models, ...

Artificial intelligence startup Autoscience Institute has launched with $14 million in seed funding to automate research into new machine learning models. Instead of simply building yet another ...

Forecasting inflation has become a major challenge for central banks since 2020, due to supply chain disruptions and economic uncertainty post-pandemic. Machine learning models can improve forecasting ...

Using generative AI to design, train, or perform steps within a machine-learning system is risky, argues computer scientist Micheal Lones in a paper appearing in Patterns. Though large language models ...

Backed by General Catalyst and Perplexity Fund, the former Google X, MIT, and Harvard team is building an AI lab where new models are invented autonomously using AI systems. For many machine learning ...