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

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

Several different scenarios were also investigated. Fig 1. Machine learning algorithm for prediction of inpatient treatment-related mortality. (A) ROC curve, (B) PRC, and (C) calibration plot for all ...

The introduction of this technology marks a significant step forward in the practical application of quantum machine learning ... design and optimization algorithms. In terms of circuit design ...

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.

Understanding how cities grow is vital for shaping sustainable urban futures—but mapping the true extent of urban expansion ...

A novel generative AI framework can predict the need for red blood cell transfusion and mortality risk in ICU patients with ...

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

Teaching AI to explore its surroundings is a bit like teaching a robot to find treasure in a vast maze—it needs to try different paths, but some lead nowhere. In many real-world challenges, like ...