Researchers from Kumamoto University have developed a new peptide-based technology that enables insulin—normally injected—to be taken orally while still powerfully lowering blood sugar. Their breakthrough, demonstrated in diabetic mice, could pave the way for needle-free insulin treatments that are safer, simpler, and more comfortable for patients.

Adversarial examples—images subtly altered to mislead AI systems—are used to test the reliability of deep neural networks. However, existing methods often produce images with unnatural noise that is easy to detect. In a recent study, researchers from Japan developed “IFAP,” a new framework that aligns adversarial noise with the spectral characteristics of the original image. Extensive tests show that IFAP generates more natural-looking perturbations while remaining highly effective and resistant to common defenses.

A research team from the Institute of Physics, Chinese Academy of Sciences has developed a novel DNA origami-based technique to synthesize stable, monolithic amorphous silver nanostructures under ambient conditions. By using DNA scaffold with fivefold rotational symmetry, the method introduces geometric frustration that effectively suppresses crystallization in metallic silver, a traditionally challenging feat due to the natural tendency of silver to form crystalline structures. Detailed characterization and molecular dynamics simulations demonstrate that these amorphous silver domains exhibit high stability and disordered atomic arrangements, opening new avenues for innovative applications in electronics, catalysis, and plasmonics.

Global navigation satellite systems (GNSS) are vital for positioning autonomous vehicles, buses, drones, and outdoor robots. Yet its accuracy often degrades in dense urban areas due to signal blockage and reflections. Now, researchers have developed a GNSS-only method that delivers stable, accurate positioning without relying on fragile carrier-phase ambiguity resolution. Tested across six challenging urban scenarios, the approach consistently outperformed existing methods, enabling safer and more reliable autonomous navigation.

PPPL is leading STELLAR-AI, a new platform that pairs artificial intelligence with high performance computing to dramatically speed fusion energy simulations and connect computing resources directly to experimental devices like NSTX-U. The project, part of the national Genesis Mission, brings together national labs, universities, tech giants and fusion companies to build the computational foundation the fusion community needs.

Pistachios are a $2-billion-a-year industry in California. New UC Davis research lends insight into how the nut is "built." 

Antibiotic resistance in human and animal health is on the forefront of public debate, but it’s a less well-known issue in plant agriculture. However, antibiotics are important tools in fruit production, and their efficacy hinges on avoiding resistance in disease-causing bacteria. The U.S. does not currently restrict antibiotics use in fruit orchards, but regulatory measures could occur in the future. A new study from the University of Illinois Urbana-Champaign examines how apple growers might respond to a potential ban on antibiotics and how those responses could affect management decisions and profitability.

Space debris poses a risk to humans when it falls out of orbit and plunges toward the ground, but can be difficult to track after entering the Earth's atmosphere. Using already established networks of earthquake-detecting seismometers, scientists have developed a new tracking method that generates more detailed information in near real-time than authorities have today—information that will help to quickly locate and retrieve the charred and sometimes toxic remains. 

Generative AI is reshaping software development – and fast. A new study published in Science shows that AI-assisted coding is spreading rapidly, though unevenly: in the U.S., the share of new code relying on AI rose from 5% in 2022 to 29% in early 2025, compared with just 12% in China. AI usage is highest among less experienced programmers, but productivity gains go to seasoned developers.