A team of researchers at Queen's University has developed a powerful new kind of computing machine that uses light to take on complex problems such as protein folding (for drug discovery) and number ...
The Ising model, when used as a technique, refers to a computational and analytical framework for studying systems of binary variables with pairwise interactions, typically on a lattice or graph, via ...
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 ...
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ABSTRACT: Background: In Cameroon, little is known about the visual repercussions of neurological disorders, according to the available literature. Local data could improve screening, prevention, and ...
Healthcare provider experiences in managing antibody-drug conjugate dosing adjustments due to nausea and vomiting: SABCS and ESMO survey findings. Effcacy and safety results of a multi-center phase ...
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 ...
Ed Gaudet is the CEO and Founder of Censinet, a healthcare risk management platform, and member of the Health Sector Coordinating Council. At the CHIME24 Fall Forum, I faciltated a focus group session ...
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