Artificial reinforcement learning is just one lens to evaluate organizations. However, this thought experiment taught me that ...
As bitcoin BTC $88,675.39 struggles to hold above $90,000, market sentiment has once again slipped into extreme fear. Over the past year, fear or extreme fear has accounted for more than 30% of all ...
Landlords could no longer rely on rent-pricing software to quietly track each other's moves and push rents higher using confidential data, under a settlement between RealPage Inc. and federal ...
Deep neural networks (DNNs), which power modern artificial intelligence (AI) models, are machine learning systems that learn hidden patterns from various types of data, be it images, audio or text, to ...
Introduction: Acute graft-versus-host disease (aGVHD) is a major contributor to non-relapse mortality (NRM) in pediatric patients undergoing allogeneic hematopoietic stem cell transplantation ...
Abstract: As the globalized world, the distributed multi-site production model has emerged as the dominant approach in the manufacturing sector, offering businesses flexible and efficient solutions ...
ABSTRACT: To effectively evaluate a system that performs operations on UML class diagrams, it is essential to cover a large variety of different types of diagrams. The coverage of the diagram space ...
This column is from Trendlines, my business newsletter that covers the forces shaping the economy in Boston and beyond. If you’d like to receive it via email on Mondays and Thursdays, sign up here. It ...
One of the biggest barriers to using AI successfully is bias, which is one of the terms we defined last time, as follows: Bias, in a general context, refers to a predisposition or inclination towards ...
Abstract: The effectiveness and flexibility of greedy algorithms are comprehensively explored and proven in the current study, with an analysis of application examples in a series of optimization ...
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