NASA has quietly crossed a new frontier in human–machine collaboration, handing a critical piece of Mars navigation to a commercial chatbot. Instead of painstakingly plotting every twist of the ...

Optimism about AI’s value is high: 92% reported a positive ROI for their gen AI projects in Snowflake’s 2025 research report. However, one-third of respondents hadn’t actually measured their returns.

Abstract: Traditional routing techniques face considerable challenges in large-scale Low Earth Orbit (LEO) satellite networks for Internet of Things (IoT) data backhaul, such as slow convergence speed ...

A few months ago, I awoke to find a streak spanning the length of my kitchen wall that looked like it had been drawn there ...

A novel stacked memristor architecture performs Euclidean distance calculations directly within memory, enabling energy-efficient self-organizing maps without external arithmetic circuits.

School of Computer Science, Rocket Force University of Engineering, Xi'an, Shaanxi, China Load imbalance is a major performance bottleneck in training mixture-of-experts (MoE) models, as unbalanced ...

1 Laboratory of Bioinformatics and Systems, Department of Computer Science, Federal University of Minas Gerais, Belo Horizonte, Brazil 2 Laboratory of Bioinformatics, Visualization and Systems, ...

Department of Geography and GIS, Southern Illinois University Edwardsville, Edwardsville, Illinois, USA. Given the prominent role of road networks in facility location optimization, it is surprising ...

ABSTRACT: This study proposes a decentralized urban traffic optimization approach by integrating Dijkstra’s algorithm with edge computing. The system models road networks as dynamic graphs, using real ...

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: To address the Vehicle Routing Problem with Time Windows (VRPTW), this paper presents a novel Dual Adaptive Genetic Algorithm (DAGA). While numerous metaheuristic algorithms have been ...