Abstract: This paper presents a computational framework that combines supervised machine learning and multi-objective optimization to support data-driven decision-making for resource allocation in ...

Abstract: Analysis of time-series data allows to identify long term trends and make predictions that can help to improve our lives. With rapid development of artificial neural networks, long ...

Third-party cookies are officially gone in 2026, and the first-party-data conversation has moved from theoretical to ...

Predictive maintenance uses AI and IoT sensors to forecast equipment failures, cutting costs and preventing downtime in ...

Fireworks, Baseten and Together AI raised $3.8B in four weeks. The funding proves inference is a control point, not that ...

CSA's AI Controls Matrix v1.1 expands coverage with Model Security domain, mappings to major AI frameworks, and governance ...

Agent observability, aka AgentOps, has emerged as a vital ecosystem of tools for keeping an eye on what AI agents and LLMs ...

Advsr AI Spotlight Highlighting notable AI moves at the intersection of strategic operating companies and emerging startups.

As powerful Chinese models like GLM-5.2 come to market, there are concerns these models could someday reach Mythos-level ...

SpaceX aborted its Starship V3 launch after an engine issue, raising new questions about Starlink expansion, launch reliability, and investor pressure. If you can only read one tech story a day, this ...

For years, the enterprise AI landscape has been defined by the "black box" model: static, opaque, and fundamentally rigid. Developers have long hit a wall with these generalist systems—they are either ...

This directory is a compact, publication-oriented implementation of the key method in “Fault-Tolerant Path Following Control for USV via Reinforcement Learning with Motion Prediction.” It was ...