Surprisingly, a certain microscopic structure found in natural graphite can host multiple superconducting states, researchers found. In a further surprise, these superconducting states even get stronger when exposed to a magnetic field. 

Researchers at the University of Massachusetts Amherst are using eye-tracking technology to help understand how nurses interact with intravenous smart pumps, providing a new way to identify design flaws in systems associated with more medication errors than any other route of administration.  The approach, detailed in a study published in the June 2026 issue of Advancing Medical-Surgical Nursing, marks the first known use of eye-tracking technology to evaluate IV smart pumps. By recording exactly where users look while programming the infusion devices, researchers can analyze moments of confusion, hesitation and error that traditional usability studies are not able to capture.

Scientists discovered a protein secreted by a deep-sea extremophile — an organism adapted to extreme environmental conditions — that self-assembles into a biofilm and is highly stable, boosting its potential for biomedical applications.

3D CAD, even with the assistance of software, can be a laborious and time-consuming process. A group of researchers recently wrote a comprehensive review article outlining the current AI-driven 3D CAD state of the art and described challenges that must be overcome to increase the practicality of AI model use in 3D CAD workflows.

Two outstanding scientists have been awarded the annual Nano Research Award which is sponsored by Tsinghua University Press (TUP). Professor Xiangfeng Duan is the Distinguished Professor at University of California, Los Angeles. Professor Akira Fujishima is the Professor at Institute of Photochemistry and Photofunctional Materials, University of Shanghai for Science and Technology.

Neural radiance fields (NeRFs) are a powerful form of artificial intelligence (AI) that utilizes 2D images to synthesize a 3D scene and “learn” what a realistic 3D representation of the base information would look like. While NeRFs initially revolutionized computer vision in the early 2020s, a new method called Gaussian Splatting quickly overtook NeRFs. In this comprehensive review, researchers explore some of the differences between these two methods and their applications in the hopes of better informing future computer vision practitioners.

Advances in foundation models (FM) have opened the gates to an advanced use of artificial intelligence for healthcare. FMs are an AI system with a great ability to perform accurately on new sets of data or tasks, instead of just memorizing the material it was trained with. Vision-language foundation models (VLFM) are particularly of interest to clinicians as a means to aid in report generation and question answering, with vision-language agents (VLAs) being representative of the next frontier for AI acting in a healthcare space.