First-of-its-kind computer model of bacterial biofilms could support antibiotic resistance research
Peer-Reviewed Publication
Updates every hour. Last Updated: 28-Oct-2026 15:16 ET (28-Oct-2026 19:16 GMT/UTC)
When can we trust the results we get from AI, and when is learning impossible? Researchers have shown that there are some problems that even the most powerful AI can reliably solve, no matter how much data it’s given.
Researchers from Delft University of Technology (The Netherlands) have made a European energy system model, making two technologies to compete with each other: future unidirectional smart charging (V1G) and Vehicle-to-Grid charging (V2G) to determine which mode is most economically advantageous in EU countries in a 2050 energy system. For the first time, the model treats the diffusion of V1G and V2G infrastructure as a decision to be optimized, explicitly accounting for its costs. ‘The model shows that a uniform benchmark for the EU is not preferable. The cost-optimal level of charging infrastructure varies by country, since it depends on each national energy system’, says lead researcher Francesco Sanvito. The results are published today in Nature Energy.
Los Angeles, CA, July 14, 2026. More than 100,000 people in the United States are waiting for a lifesaving organ transplant. For patients in need of a liver transplant, determining whether a donor liver is healthy enough to transplant is a critical part of the process.
Future quantum computing will require correlations between distant modules—a feature known as distributed entanglement. Traditionally, such entanglement has relied on active control and repeated measurements. Now, physicists at the Institute of Science and Technology Austria (ISTA) have realized a fully autonomous method for distributed entanglement using a “quantum bath” of correlated light particles. Published on Monday in Physical Review X, their work experimentally confirms a 20‑year‑old prediction and could provide a new platform for applied quantum technologies.
Engineers develop a pioneering dressing from renewable plant material that delivers antibiotics directly to wounds during critical early stages of infection.
Researchers at the College of Design and Engineering at the National University of Singapore have identified a key design principle for building reliable electronics from materials only one atomic layer thick, giving engineers a clearer way to control unwanted electrical leakage in future ultra-small devices.
The finding challenges the assumption that material choice alone determines device performance.
The researchers’ findings could help guide the development of future electronic components that are smaller, thinner and more energy-efficient. These include advanced computer chips, ultra-thin memory devices, and emerging technologies that rely on controlling electrical behaviour at the atomic scale.