By categorizing and filtering user input, you can better focus on driving AI improvement. This iterative process—blending automation with human review—ensures AI learns from high-quality data, leading ...

There has been much talk about how AI could recursively self-improve in the coming years, but it appears that Google ...

Laser Armor™ System Enhanced with NVIDIA-Powered Simulation, Embedded AI, and Reinforcement Learning ...

DeepSeek AI, a prominent player in the large language model arena, has recently published a research paper detailing a new technique aimed at enhancing the scalability of general reward models (GRMs) ...

CrowdStrike remains incredibly compelling, with an AI-driven platform to tackle agentic AI threats, strong ARR growth, and ...

In the ever-evolving world of artificial intelligence (AI), the ability to make effective decisions is a cornerstone of ...

Enhancing Microsoft CyberBattleSim for Enterprise Cybersecurity Simulations. Journal of Information Security, 16, 270-282. doi: 10.4236/jis.2025.162014 . Quantifying the effectiveness of cyber defense ...

Understanding intelligence and creating intelligent machines are grand scientific challenges of our times. The ability to learn from experience is a cornerstone of intelligence for machines and living ...

Computing pioneer Alan Turing suggested training machines with rewards and punishments. Two computer scientists put the idea ...

The review introduces a proposed two-layer reinforcement learning framework for distributed smart grid control. In this ...

AI agents develop their own communication channels beyond our monitoring frameworks, we face a pivotal challenge: harnessing ...