Balancing nitrogen use is critical for maximizing crop yield while minimizing environmental and economic costs. A new approach integrates drone-based multispectral imaging with machine learning to ...

AI is also being applied to improve construction scheduling and time management. Construction projects often involve numerous interconnected tasks, subcontractors, and logistical constraints. Delays ...

New hyperscale campuses, GPU infrastructure deployments, energy projects, and policy debates illustrate how the race to build AI data centers is accelerating across North ...

Abstract: Effective disaster prediction is essential for disaster management and mitigation. This study addresses a multi-classification problem and proposes the Neural-XGBoost disaster prediction ...

Artificial intelligence is reshaping cybersecurity faster than regulation or governance frameworks can keep pace. In 2025, industry reporting showed a measurable decline in successful ransomware ...

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Project Stargate moved from concept to execution in 2025 as OpenAI began assembling a multi-gigawatt AI infrastructure portfolio across the U.S. and abroad. With SoftBank’s acquisition of ...

CEOs must put projects, not operations, at the center of how their companies create value. Here’s how. by Antonio Nieto-Rodriguez In an environment of constant change, projects are how businesses ...

SINGAPORE, Dec 17 (Reuters) - In a high-security Shenzhen laboratory, Chinese scientists have built what Washington has spent years trying to prevent: a prototype of a machine capable of producing the ...

Advanced fraud detection system using machine learning to identify fraudulent transactions and activities. This project implements multiple machine learning algorithms including Random Forest, XGBoost ...

Predict whether a college student will be placed after graduation based on various academic and personal factors using machine learning algorithms. machine_learning_project/ │ ├── data/ # Data files │ ...