Bilevel optimisation is a hierarchical framework involving two interdependent decision-making problems, where the solution of the lower-level problem constrains and influences the upper-level ...

A model depicts the relationship between clinical phenotypes and genotypes on a set of genetic polymorphisms. After the model is constructed and validated, it may be used to predict clinical ...

A University of Virginia Center for Diabetes Technology-developed algorithm—paired with a continuous glucose monitor—can help ...

Artificial intelligence is already a part of everyday life. It helps us answer questions like “Is this email spam?” It identifies friends in online photographs, selects news stories based on our ...

The U.K. government is suspending the use of an algorithm used to stream visa applications after concerns were raised the technology bakes in unconscious bias and racism. The tool had been the target ...

Optimization seeks to find the best. It could be to design a process that minimizes capital or maximizes material conversion, to choose operating conditions that maximize throughput or minimize waste, ...

Quantum computers show great promise because they could, at least in principle, solve certain problems that cannot be cracked even by the most powerful conventional supercomputers. But building ...

Means-plus-function claiming has been disfavored (by and large) since at least 1994 when the Federal Circuit handed down its decision in In re Donaldson, where the Federal Circuit sitting en banc ...

In 2013, the University of Texas at Austin’s computer science department began using a machine-learning system called GRADE to help make decisions about who gets into its Ph.D. program -- and who ...