Companies celebrated for strong financial performance may actually be inefficient once their environmental impact is taken into account, according to research from the University of Surrey.
IOP Publishing (IOPP) has developed a machine-learning powered tool to help detect duplicate peer review reports, addressing a growing threat to research integrity in scholarly publishing.
Climate change is likely to drive rodent-borne arenaviruses into parts of South America that have never faced these diseases, putting new communities of people at risk, finds a study from the University of California, Davis. ...
Researchers at the University of Oregon have developed an artificial intelligence tool that can read genetic code the way large language models like ChatGPT read text. Scanning the genome for biological mutation patterns, ...
Scientists have adapted a centuries-old principle of chemistry to fine-tune a new type of glass made from metal–organic frameworks (MOFs)—metal atoms connected by organic molecules—that efficiently trap gases like CO₂ and ...
In his office at Michigan State University, forestry professor David Carter shows off an image of a virtual forest on his laptop. It's not just any forest. It's a computerized replica, or "digital twin," of a loblolly pine ...
Penn Engineers have developed a new way to use AI to solve inverse partial differential equations (PDEs), a particularly challenging class of mathematical problems with broad implications for understanding the natural world.
What if farmers could see a pest outbreak coming before the insect ever had a chance to damage their crop? New research from Texas A&M AgriLife Research indicates that artificial intelligence can predict outbreaks much more ...
Scientists have used the power of AI to analyze and predict the conversion of liquid radioactive waste into solid glass waste forms, increasing the amount of waste that goes into each container of glass produced and reducing ...
Pollinating insects are important for agriculture and ecological flourishing, but they are difficult to monitor, as identification is tricky, labor-intensive, and typically requires killing some insects. Publishing in PNAS ...
