Existing frameworks like the U.S. Environmental Protection Agency’s Energy Star Portfolio Manager provide useful performance ...
Researcher Venkata Sri Manoj Bonam advances AI-based fraud detection systems that blend machine learning accuracy with ...
Awurum, N.P. (2025) Next-Generation Cyber Defense: AI-Powered Predictive Analytics for National Security and Threat Resilience. Open Access Library Journal, 12, 1-17. doi: 10.4236/oalib.1114210 .
Adoption of AI to route payment transactions is one way businesses are fundamentally transforming how they process ...
Is the AI bubble bursting or just noise? Explore continual learning, nested learning, and introspection, plus fixes for ...
The new reinforcement learning system lets large language models challenge and improve themselves using real-world data ...
A new collection of research papers examines how humans conceptualize numbers and the numeral systems we’ve build around them ...
AI-driven tools are seen to strengthened cybersecurity defenses through various ways such as anomaly detection, predictive analytics, and automated incident response, the same technologies are also ...
A research team at the University of Cologne examined how optional support influences students' learning success and ...
Prevailing AI architectures are not moving the needle. We need new ideas. Google Research proposes NL (nested learning). Here ...
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