Long-read sequencing technologies analyze long, continuous stretches of DNA. These methods have the potential to improve ...

Manufacturing execution systems (MES) generate mountains of data. Deciphering the data, however, often consumes hours daily.

Artificial intelligence and robotics are revolutionizing drug discovery by automating laboratory processes and enabling rapid ...

This study aims to develop a model based on a machine learning algorithm that can predict the risk of in ... and early intervention in this high-risk cohort. Figure 1. Flow chart of the study. AMI, ...

Banks, hedge funds, asset managers, and private equity firms have been eager to use generative AI to boost productivity and reduce grunt work for ... and head of machine learning quants, Dimitris ...

Molecular machine learning (ML) underpins critical workflows in drug discovery, material science, and catalyst optimization ...

Models rewrite code to avoid being shut down. That’s why ‘alignment’ is a matter of such urgency.

A new system that combines Gemini’s coding abilities with an evolutionary approach improves data center scheduling and chip design, and fine-tunes large language models.