A line of engineering research seeks to develop computers that can tackle a class of challenges called combinatorial optimization problems. These are common in real-world applications such as ...

In this paper we study optimization problems with variational inequality constraints in finite dimensional spaces. Kuhn-Tucker type necessary optimality conditions involving coderivatives are given ...

Did you consider yourself a mathematician the last time you sat down to solve a Sudoku puzzle? It’s certainly a mentally ...

As the smoke of the computing power competition has yet to settle, a fierce talent battle has erupted in the AI industry. Major companies in Silicon Valley across the ocean are offering annual ...

This paper examines the identifiability of the coefficients of a single equation in a simultaneous equation model which is nonlinear only in the variables. The concept of identifiability in this model ...

Forget quantum — neuromorphic AI could be the real disruptor, reshaping everything from medicine to warfare while cutting ...

An agency problem is a conflict of interest where one party, motivated by self-interest, is expected to act in another's best interest.

Quantum computers that were previously limited to theoretical physics now learn to discover patterns, optimize decisions and ...

Problems with a home health provider’s electronic health record (EHR) can negatively impact both patients and financial ...

In essence, the digital twin is an active information-driven model which is continually updated to align with its physical counterpart. In aluminum fabrication, these would, apart form the 3D geometry ...

Amir Husain argues that AI and humans are best understood as collectively constituting a special hybrid entity, and shrugs ...