The study of complexity in political decision-making addresses crucial questions at the intersection of cognitive science, ...
The current market environment, marked by uncertainty over the timing of rate cuts and ongoing market volatility, presents unique challenges. Effective duration-related decisions about term exposure ...
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Lean Six Sigma Transforms Hospital Management and Reduces Costs in High-Complexity Healthcare Institutions
Silvia Aparecida Corrêa Sanches, an administrative supervisor with 15 years of experience in the hospital sector, is leading the adoption of continuous improvement methodologies—such as Lean Six Sigma ...
Oct 29 (Reuters) - Amazon.com (AMZN.O), opens new tab said on Wednesday it has launched its compute cluster project called Rainier, and added that artificial intelligence firm Anthropic will use more ...
For many enterprises, there continue to be barriers to fully adopting and benefiting from agentic AI. IBM is betting the blocker isn't building AI agents but governing them in production. At its ...
Abstract: This paper introduces the concept of Content-Aware Radiance Fields (CoARF), which adaptively aligns the model complexity with the scene intricacy. By examining the intricacies of radiance ...
One of the biggest challenges with artificial intelligence today is the quality of data. Many models were trained on the internet, full of falsehoods and lies. This is particularly a problem in ...
In a new initiative, Mosaic Neuroscience is teaming up with Ixcells Biotechnologies to develop patient-specific cell models that could lay the foundation for advancing precision medicine in ...
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