AI in retail isn’t new. In the early 2000s, many leading retailers began finding AI solutions: Amazon introduced its ...

Due to the complexity and dynamism of real-world needs, traditional vehicle routing solutions usually do not sufficiently consider implicit user preferences, leading to low acceptance and reduced ...

Delivery estimate accuracy (DEA) refers to the ability of an ecommerce business to correctly predict when a customer’s order ...

Reverse Logistics, Artificial Intelligence, Circular Economy, Supply Chain Management, Sustainability, Machine Learning Share and Cite: Waditwar, P. (2026) De-Risking Returns: How AI Can Reinvent Big ...

LOS ANGELES, CA / ACCESS Newswire / December 22, 2025 / As businesses rush to automate everything from customer service to strategic planning, failure rates remain stubbornly high. Countless ...

AI can help design AI systems: automating architecture choices, discovering algorithms, and optimizing hardware ...

Public records clearly shows that for the past 25 years, CERN has repeatedly built inadequate FPGA-based Level-1 Triggers, necessitating multiple rebuilds. During the Higgs boson discovery ...

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, ...

first learning of human drivers, which then 'mutate` to CAVs, are trained to optimize routing policies with the implemented algorithm. When the training is finished, it uses raw results to compute a ...

Abstract: The reliability of routing algorithms is critical for network operations. Deep Reinforcement Learning (DRL)-based routing algorithms are emerging as promising solutions for achieving ...

Finding the shortest path in a network is a classical problem, and a variety of search strategies have been proposed to solve it. In this paper, we review traditional approaches for finding shortest ...