“I work with data, but what truly motivates me is knowing that it will ultimately be of use to someone. I’m not particularly good at taking on a leadership role, so I prefer to work alongside others, ” says Professor Shinichiroh Yokota from the Graduate School of Nursing. With a background as a nurse in clinical practice, Professor Yokota now applies informatics methods to nursing and medical data—using tools such as machine learning on electronic medical records (EMRs) to predict patient falls and the risk of bedsores. We spoke with him about how AI is transforming the world of nursing.

Researchers from the University of Osaka and collaborating institutions accelerated protons to nearly half the speed of light using a long-pulse laser and ultrathin graphene. A moving electric field carried the protons to high energies, and artificial intelligence helped detect rare high-energy particles among millions of detector images. This technique could pave the way for future AI-driven autonomous laser experiment systems.

Scientists for years have known that squids have cells with bundles of tiny, hair-like protrusions on their heads and arms like those buried deep inside the human ear that allow us to hear. Now, researchers at Case Western Reserve University have discovered that these animals have hundreds more of these cells, called hair cells, lining the entire surface of their bodies. The discovery may provide researchers an unprecedented window into how humans use—and lose—their hearing.

University of Tennessee, Knoxville Assistant Professor Nasir Eisty has received support from the Alfred P. Sloan Foundation to advance reliable research software. His project will examine how artificial intelligence can create and test scientific code while ensuring the resulting tools remain dependable, transparent and scientifically relevant for researchers.

XPANCEO, a deep-tech company building smart contact lenses as the next interface for the AI era, has partnered with Contamac, a specialist manufacturer of ophthalmic materials, to advance AR contact lenses and their manufacturing process. This collaboration focuses on making lenses suitable for longer, more comfortable wear while preserving optical quality and enabling scalable manufacturing.