According to computational complexity theory, mathematical problems have different levels of difficulty in the context of their solvability. While a classical computer can solve some problems (P) in ...

Sign up for The Media Today, CJR’s daily newsletter. A study by the Massachusetts Institute of Technology’s Joint Program on the Science and Policy of Global ...

For about a decade, computer engineer Kerem Çamsari employed a novel approach known as probabilistic computing. Based on probabilistic bits (p-bits), it’s used to solve an array of complex ...

Storage, computation, and communication are the three pillars of modern information technology, with computation being the central aspect. The von Neumann architecture, based on the Turing machine ...

A symposium on Statistical and Probabilistic Problems in Metallurgy was held in Seattle, Washington, August 4-6, 1971 in conjuction with the IASPS biennial meetings. This is the introductory article ...

Ising machines demonstrate significant potential to tackle computationally complex challenges, including combinatorial optimization problems related to logistics, manufacturing, finance, and AI. The ...

The key idea behind the probabilistic framework to machine learning is that learning can be thought of as inferring plausible models to explain observed data. A machine can use such models to make ...

In the multidimensional 0-1 knapsack problem, we are given a set of items, each with a value and multiple attributes, and we want to select a subset in such a way that the total value is maximized ...