For financial institutions, threat modeling must shift away from diagrams focused purely on code to a life cycle view ...

Affan Shoukat is an assistant professor of data science and an adjunct professor in computer science at the University of ...

AI from Stanford Reads Disease Risks in Sleep: SleepFM Predicts Over 130 Ailments from One Night.

Researchers at Los Alamos National Laboratory have developed a new approach that addresses the limitations of generative AI ...

The integration of bioinformatics, machine learning and multi-omics has transformed soil science, providing powerful tools to ...

Social media posts about unemployment can predict official jobless claims up to two weeks before government data is released, ...

AI can use sleep data from a single night to identify patterns linked to disease risk years before symptoms appear.

The SleepFM model reveals how sleep analysis can predict disease risk, offering insights into sleep's role as a vital health ...

Organizations have a wealth of unstructured data that most AI models can’t yet read. Preparing and contextualizing this data ...

Researchers create SleepFM, an AI model predicting over 130 health conditions from sleep data, enhancing disease risk assessment.

Artificial intelligence can use brain recordings from a single night in a sleep lab to predict a person's risk of developing ...

Researchers developed an AI model to detect myocardial ischemia and coronary microvascular and vasomotor dysfunction using ...