We propose a new trust region algorithm for nonlinear constrained optimization problems. In each iteration of our algorithm, the trial step is computed by minimizing a quadratic approximation to the ...

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 ...

A new technical paper titled “Analog optical computer for AI inference and combinatorial optimization” was published by ...

The constant scaling of AI applications and other digital technologies across industries is beginning to tax the energy grid ...

Artificial General Intelligence (AGI) refers to machine intelligence that possesses general human-like intelligence and can ...

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 ...

With the widespread application of Electric Vehicles (EVs) and the large-scale integration of renewable energy sources such ...

This is a preview. Log in through your library . Abstract This paper examines the identifiability of the coefficients of a single equation in a simultaneous equation model which is nonlinear only in ...

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

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