Abstract: The rooted max tree coverage (MTC) problem has wide applications in areas, such as network design and vehicle routing. Given a graph with non-negative costs defined on edges, a vertex used ...

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Abstract: Over the past decades, extensive research has been conducted on adversarial attacks and defense mechanisms in deep learning, particularly in real-world applications such as autonomous ...

Credit: Image generated by VentureBeat with FLUX-pro-1.1-ultra A quiet revolution is reshaping enterprise data engineering. Python developers are building production data pipelines in minutes using ...

Learn the Adagrad optimization algorithm, how it works, and how to implement it from scratch in Python for machine learning models. #Adagrad #Optimization #Python Trump administration looking to sell ...

This library provides a convenient Python interface for interacting with the Freerouting API (api.freerouting.app). It allows you to manage routing sessions, enqueue jobs, upload designs, download ...

A new evolutionary technique from Japan-based AI lab Sakana AI enables developers to augment the capabilities of AI models without costly training and fine-tuning processes. The technique, called ...

See /GLS/README.md for detailed documentation of this innovation. Population size: 200 Maximum generations: 300 Random mating probability (RMP): 0.4 Mutation rate: 0. ...

ABSTRACT: Supply chain networks, which integrate nodes such as suppliers, manufacturers, and retailers to achieve efficient coordination and allocation of resources, serve as a critical component in ...

secp256k1lab hopes to streamline the development process of cryptographic protocols for BIP proposals with a standard library for secp256k1. Until now, every Bitcoin Improvement Proposal (BIP) that ...