SAN ANTONIO — June 9, 2025 —Southwest Research Institute (SwRI) will continue its decades-long program to extend the life of aging military aircraft through a new contract worth up to $250 million with the United States Air Force. This Indefinite Delivery Indefinite Quantity (IDIQ) contract award supports the U.S. Air Force Academy Center for Aircraft Structural Life Extension (CAStLE), a program created to address aging aircraft structures and material degradation. IDIQs are contract vehicles that fund work over specified periods of time, in this case up to eight years.

Cambridge University Press has published a new book co-authored by researchers from the University of Warsaw, offering both an introduction to machine learning and deep neural networks, and an overview of their applications in quantum physics and chemistry — from reinforcement learning for controlling quantum experiments to neural networks used as representations of many-body quantum states.The book appears at a time when artificial intelligence is becoming an increasingly recognized tool for scientific discovery — a development recently recognized with the Nobel Prize in Chemistry awarded for the AlphaFold tool. It serves as a timely guide for PhD students and researchers looking to apply modern machine learning methods to complex quantum problems.

JMIR Publications invites submissions to a new theme issue titled “Human Factors in Health Care: Education, Management, and Knowledge Translation” in its open access journal JMIR Human Factors.

Researchers in the Harvard John A. Paulson School of Engineering and Applied Sciences (SEAS) have developed a machine learning framework that can predict with quantum-level accuracy how materials respond to electric fields, up to the scale of a million atoms – vastly accelerating simulations beyond quantum mechanical methods, which can model only a few hundred atoms at a time.

Seoul National University College of Engineering announced that Professor Sung-Hoon Ahn's team from the Department of Mechanical Engineering has developed a novel auditory technology that allows the recognition of human positions using only a single microphone. This technology facilitates sound-based interaction between humans and robots, even in noisy factory environments.

The research team has successfully implemented the world's first 3D auditory sensor that "sees space with ears" through sound source localization and acoustic communication technologies.

The research findings were published on January 27 in the international journal Robotics and Computer-Integrated Manufacturing.