Dr. John Halamka says the health system's evidence-based oversight efforts, focused on more than 100 different artificial ...

Abstract: Since the origin of energy management systems, state estimation applications have aided in automatic power system operations, mainly for transmission systems. Currently, however, smart grid ...

This repository contains comprehensive implementations of algorithms from the classic textbook "Fundamentals of Computer Algorithms" (Second Edition) by Ellis Horowitz, Sartaj Sahni, and Sanguthevar ...

The National Research Council of Canada (NRC)'s Applied Quantum Computing Challenge program is launching a call for proposals to support research in quantum ...

A team of physicists has created a maze that they claim is the most difficult, using a pattern from the game of chess to make the structure. To the untrained eye, the maze looks like the most ...

As mathematical abstractions go, graphs are among the simplest. Scatter a bunch of points in a plane. Connect some of them with lines. That’s all a graph is. And yet they are incredibly powerful. They ...

Optimization on quantum hardware is required in many applications, including Hamiltonian simulation to quantum machine learning; this entails interesting problems that must be addressed both for noisy ...

Reinforcement learning (RL) has emerged as a dynamic and transformative paradigm in artificial intelligence, offering the promise of intelligent decision-making in complex and dynamic environments.

Abstract: The Hamiltonian cycle problem (HCP) is related to the decision of whether there exists a cycle in a graph that visits every vertex exactly once. It is a well-known NP-complete problem, and ...