An Ensemble Learning Tool for Land Use Land Cover Classification Using Google Alpha Earth Foundations Satellite Embeddings ...

Artificial intelligence has captured headlines recently for its rapidly growing energy demands, and particularly the surging electricity usage of data centers that enable the training and deployment ...

ABSTRACT: From the perspective of student consumption behavior, a data-driven framework for screening student loan eligibility was developed using K-means clustering analysis and decision tree models.

Forbes contributors publish independent expert analyses and insights. Ken Silverstein covers global energy and climate issues. Duke Energy didn’t turn to artificial intelligence to chase the latest ...

As the third quarter of 2025 draws to a close on September 30, XRP faces a turbulent backdrop marked by ETF delays, sector-wide deleveraging, and volatile technicals. The token, which currently trades ...

Reinforcement learning (RL) plays a crucial role in scaling language models, enabling them to solve complex tasks such as competition-level mathematics and programming through deeper reasoning.

A new technical paper titled “Hardware-Aware Fine-Tuning of Spiking Q-Networks on the SpiNNaker2 Neuromorphic Platform” was published by researchers at TU Dresden, ScaDS.AI and Centre for Tactile ...

Unmanned surface vehicles (USVs) nowadays have been widely used in ocean observation missions, helping researchers to monitor climate change, collect environmental data, and observe marine ecosystem ...

College of Mechanical and Electronic Engineering, Shanghai Jianqiao University, Shanghai, China Introduction: To enhance energy management in electric vehicles (EVs), this study proposes an ...

Abstract: This study explores the use of supervised learning and Q-learning to optimize dynamic preamble allocation in a single-cell 5G network, supporting SDG 9 (Industry, Innovation, and ...