Planning system ensures a robot’s flight path will remain collision-free
Peer-Reviewed Publication
Updates every hour. Last Updated: 26-Oct-2026 00:16 ET (26-Oct-2026 04:16 GMT/UTC)
A new trajectory planning system developed by MIT researchers formally guarantees that an uncrewed aerial vehicle’s flight path will remain safe from collisions, even in unmapped environments with unknown moving obstacles.
Los Angeles, CA – October 07, 2026 - The Terasaki Institute for Biomedical Innovation announced today that OnVagus, a medical device company incubating at the Institute, has received institutional and regulatory approval to begin the first human trial of its noninvasive nerve-stimulation device for patients experiencing cancer-related wasting.
Researchers at South China University of Technology, in collaboration with the Dongguan Institute of Materials Science and Technology, Chinese Academy of Sciences, have developed a novel supranano multi-precipitate microstructure in amorphous soft magnetic composites using Ar/O₂ plasma treatment. By facilitating magnetic-moment reversal, this approach significantly reduced the coercivity while maintaining excellent overall performance. The optimized material exhibits an ultralow coercivity of 0.13 Oe, an effective permeability of 37.3, a high saturation magnetization of 185 emu g-1 and an ultralow core loss of 191.18 kW m⁻³ at 1 MHz and 20 mT. These results provide for a promising strategy for developing next-generation soft magnetic composites for miniaturized, high-frequency, and high-efficiency power electronics devices.
A new study of multiple large language models (LLMs) found that when users asked chatbots for advice, they were more likely to make suggestions that favour the status quo over alternatives. The tendency of artificial intelligence to default to more common advice could be bad news for the climate.
Biohub, the U.S. Department of Energy, the National Institutes of Health, and new funding partners today announced a major expansion of an international effort to generate and make accessible the data enabling predictive AI models of biology. Together, the organizations are investing $1.8 billion in funding, data, computation, and new measurement technology, the largest coordinated commitment to generating AI-ready biological data to date. The result will be an open resource for the research community that provides the foundation for greater understanding and ultimately treatment of human diseases.
A new study revealed molecular features linked to more aggressive prostate cancer in a subset of patients who had been classified as low risk, highlighting biological differences that may not be apparent from clinical measures alone. The results could lead to new therapeutic strategies.