Reinforcement Learning is a powerful approach to machine learning that enables agents to learn optimal behaviors through ...

The initial model lineup includes five base sizes: 3 billion, 8 billion, 14 billion, 32 billion, and 70 billion parameters.

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 ...

The new Dreamer AI system figured out how to conduct the multi-step process of mining diamonds without being taught how to ...

The Dreamer AI system of Google's DeepMind reached the milestone of mastering Minecraft by ‘imagining’ the future impact of ...

Model instability: RL models, especially when used with neural networks (as in deep reinforcement learning), can be unstable during training, requiring careful tuning of hyperparameters to avoid ...

A TPU (Tensor Processing Unit) is a type of specialized hardware accelerator designed by Google specifically for machine ...

The research-focused agent shows how a new generation of more capable AI models could automate some office tasks.

Gaurav Naresh Mittal, AI-driven advancements in anomaly detection, predictive maintenance, and energy management are ...

RLHF, or Reinforcement Learning from Human Feedback, is behind some of the recent advances in AI, but one of the pioneers of ...

Microsoft adds Researcher and Analyst AI agents to Copilot, enabling deeper research abilities and analysis tools.