A research team funded by the National Institutes of Health (NIH) has developed a versatile machine learning model that could one day greatly expand what medical scans can tell us about disease.
The DNA foundation model Evo 2 has been published in the journal Nature. Trained on the DNA of over 100,000 species across ...
How do we trust AI? Know how blockchain ensures AI data integrity, prevents data poisoning, and creates immutable audit trails for machine learning models.
In artificial intelligence research, scientists often describe parts of a model using simple algorithmic language. A small ...
Artificial intelligence tools are increasingly being developed to predict cancer biology directly from microscope images, ...
Explore how AI learning parallels physics laws, revealing insights into neural networks and their performance mechanisms.
More than half of transplant recipients in a large analysis developed chronic graft-versus-host disease, and 15% died from causes other than cancer relapse. Those numbers capture the uneasy truth of ...
Have You Fully Addressed the Security of Your Non-Human Identities? When considering the complexities of cybersecurity, one might focus on human-related threats. Yet, in cybersecurity, Non-Human ...
James Georgalakis and Knowledge Manager, Alan Stanley share the shifts in theory and practice they have witnessed and consider the future of knowledge for development in the age of AI.
Quantum computing, a type of quantum technology, is poised to address pressing challenges in the healthcare sector.
A Dartmouth study challenges the conventional view that the amygdala-the two-sided structure deep in the brain involved in emotion, learning, and decision making-is simply the brain's primitive "fear ...
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