A powerful artificial intelligence (AI) tool could give clinicians a head start in identifying life-threatening complications after stem cell and bone marrow transplants, according to new research ...
Cybersecurity teams are under pressure from every direction: faster attackers, expanding cloud environments, growing identity sprawl, and never-ending alert queues.
A new study suggests that an AI-assisted blood test, which measures for biomarkers, could help to identify prediabetes risk earlier.
Both the UK and US Governments have pledged to end research using animals, but is such a goal realistic? And how might it change medical research? Talha Burki reports.
Google Threat Intelligence Group (GTIG) has published a new report warning about AI model extraction/distillation attacks, in ...
Different vacuums are better suited for cleaning hard floors or carpeting, and some feature heads that raise or lower to meet the height of the surface you’re vacuuming. If you have a combination of ...
Researchers have significantly enhanced an artificial intelligence tool used to rapidly detect bacterial contamination in food by eliminating misclassifications of food debris that looks like bacteria ...
The Chinese manufacturer said it developed a new circuit-model–based method to accurately detect hot-spot risks in TOPCon back-contact modules, overcoming limitations of the IEC 61215 approach caused ...
"Safety alignment is only as robust as its weakest failure mode," Microsoft said in a blog accompanying the research. "Despite extensive work on safety post-training, it has been shown that models can ...
The field of artificial intelligence has reached a point where simply adding more data or increasing the size of a model is not the best way to make it more intelligent. For the past few years, we ...
Large language models struggle to solve research-level math questions. It takes a human to assess just how poorly they ...
Abstract: Test-time adaptation (TTA) seeks to tackle potential distribution shifts between training and testing data by adapting a given model w.r.t. any testing sample. This task is particularly ...