Artificial reinforcement learning is just one lens to evaluate organizations. However, this thought experiment taught me that ...
Abstract: Deep neural networks are highly vulnerable to adversarial examples, which are inputs with small, carefully crafted perturbations that cause misclassification—making adversarial attacks a ...
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 ...
Cryptography secures communication in banking, messaging, and blockchain. Good algorithms (AES, RSA, ECC, SHA-2/3, ChaCha20) are secure, efficient, and widely trusted. Bad algorithms (DES, MD5, SHA-1, ...
Currently, the demo/ directory has limited examples demonstrating the use of the algorithms. Adding more Python examples will help new users understand how to work with the different algorithms ...
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 ...
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