(c) Daniel Strano and the Qrack contributors 2025. All rights reserved. Based on a combination of the TFIM-inspired MAXCUT solver and another technique for finding ...
Abstract: The Ising model is useful in searching for (sub)-optimal solutions of combinatorial optimization problems (COPs). CMOS implementations of Ising model-based solvers, commonly referred to as ...
An artificial intelligence (AI) algorithm may allow clinicians to predict risk of keratoconus progression with more than 90% accuracy, according to a retrospective study. Using data from the second ...
Ising machines demonstrate significant potential to tackle computationally complex challenges, including combinatorial optimization problems related to logistics, manufacturing, finance, and AI. The ...
ABSTRACT: Road traffic accidents are one of the global safety and socioeconomic challenges. According to WHO (2024), it has caused over 1.19 million annual fatalities. It is also projected to cause ...
Reinforcement learning (RL) trains agents to make sequential decisions by maximizing cumulative rewards. It has diverse applications, including robotics, gaming, and automation, where agents interact ...
Maybe they should have called it DeepFake, or DeepState, or better still Deep Selloff. Or maybe the other obvious deep thing that the indigenous AI vendors in the United States are standing up to ...
A highly modular simulation framework of Monte-Carlo methods, based on the Ising Model in a 2D spin lattice. Producing results for the macroscopic properties of the system via simulation and ...
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