An AI–enabled cardiopulmonary resuscitation instructor
Peer-Reviewed Publication
This month, we’re focusing on artificial intelligence (AI), a topic that continues to capture attention everywhere. Here, you’ll find the latest research news, insights, and discoveries shaping how AI is being developed and used across the world.
Updates every hour. Last Updated: 3-Nov-2026 16:16 ET (3-Nov-2026 21:16 GMT/UTC)
Lehigh University researchers have built the first “AI for Science” software tool designed to support the entire project workflow for research scientists. Dr. Claw is an open-source, full-stack AI research assistant that helps users refine ideas, conduct literature reviews, run experiments, draft and review papers, write grant proposals, and build presentations. It eliminates the need to toggle between specialized AI tools—such as deep research agents for source evaluation or code generators for data analysis—by unifying these capabilities within a single interface.
Micro-gestures – those almost invisible, fleeting body movements lasting less than a second – can reveal genuine emotions and intentions that words often hide.
A millennium-old dingo deliberately buried by Barkindji ancestors in Australia, is offering rare insight into the depth of relationships between First Nations people and dingoes. The dingo appears to have been buried with great care in a purpose‑built midden, which continued to be tended and “fed” with river mussel shells for centuries, suggesting an ongoing relationship between the buried dingo and local people. This is believed to be the first time this “feeding” practice has been observed archaeologically anywhere in the world.
A new book examines how businesses can stay competitive in an era shaped by artificial intelligence, rapid technological change and economic disruption.
Cold Spring Harbor Laboratory Professor Hiro Furukawa, postdoc Ruben Steigerwald, and colleagues have demonstrated for the first time how NMDARs distinguish calcium from magnesium. Their work provides new insights into the key molecular features of learning and memory and could have important implications for brain development and disease.
New research suggests electricity demand from data centers and cryptocurrency mining is likely to increase power costs in some parts of the country by up to 57% by 2030, with a national average increase of 6%-29%. Electricity demand related to data centers is also likely to increase CO2 emissions by up to 28% by 2030, relative to a future with no data center growth.