A novel AI language model is capable of identifying clinical symptoms in medical summaries and correlating them with brain tissue data from donors of the Netherlands Brain Bank.
Researchers at Tokyo Tech have demonstrated that ultraviolet-laser processing is a viable method for creating complex microstructures that allow for the sophisticated alignment of muscle cells—a prerequisite for creating life-like biohybrid actuators.
Exploring the Possibilities of LLMs for Neuroscience and Biomed Research
Significant progress has been made in Large Language Models (LLMs) like ChatGPT in the last year.
Scientists from Harvard and EPFL have created a ground-breaking new method for tracking neurons in moving and deforming animals.
At Rice University in Houston, Texas, researchers have come up with a fabric-based wearable device that “taps” a user’s wrist with pressurized air, silently assisting them in navigating to their destination.
At Osaka University, scientists have come up with a new centipede-like robot and shown how its motion could be switched from straight and curved walking, which might help with search and save operations or planetary exploration.
An abrupt change in scenery was relayed by a high in a narrow, seawater-filled crevasse at the base of Antarctica’s biggest ice shelf, and cameras on the remotely operated Icefin underwater vehicle.
At the Istituto Italiano di Tecnologia (IIT-Italian Institute of Technology), scientists in Genoa have identified a new soft robot inspired by the biology of earthworms, which has the potential to crawl as a result of the soft actuators that tend to squeeze or elongate, when air passes via them or is drawn out.
Published in the journal Cell Reports Physical Science, a study inspired by the adhesion qualities of geckos and the movement of inchworms presented a hybrid bioinspired design as a soft robot that could climb on ceilings and walls of various textures like glass, aluminum, and polyimide.
One of the quickest and most efficient amphibious robots named AmphiSAW has been developed by the Ben-Gurion University of the Negev engineer Dr David Zarrouk and his student Omer Guetta.
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