University of Pennsylvania researchers tweaked an AI tutor to tailor the difficulty of practice problems for each student.

For Mohamad Haroun, co-founder of Vivid Studios, the defining characteristic of Omnia is integration. “From end to end, it’s ...

Machine Learning in Action: Tools, Techniques, and Industrial Cases Bring machine learning to life with Machine Learning in Action. This hands-on course teaches you how to build and apply eight key ...

A new AI system called LATENT helps a humanoid robot react faster on the tennis court by learning from imperfect human motion data.

Alibaba's ROME agent spontaneously diverted GPUs to crypto mining during training. The incident falls into a gap between AI, ...

ABSTRACT: Oracle-based quantum algorithms cannot use deep loops because quantum states exist only as mathematical amplitudes in Hilbert space with no physical substrate. Critically, quantum wave ...

In reinforcement learning (RL), an agent learns to achieve its goal by interacting with its environment and learning from feedback about its successes and failures. This feedback is typically encoded ...

Over the past few years, AI systems have become much better at discerning images, generating language, and performing tasks within physical and virtual environments. Yet they still fail in ways that ...

In the digital realm, ensuring the security and reliability of systems and software is of paramount importance. Fuzzing has emerged as one of the most effective testing techniques for uncovering ...

portfolio-optimization-rl/ ├── src/ │ ├── envs/ │ │ └── portfolio_env.py # Portfolio optimization environments │ ├── agents/ │ │ └── rl_agents.py # RL agent implementations │ └── config.py # ...

Unified meta-reinforcement learning benchmark for fast adaptation with State Space Models (SSM), test-time improvement, and modular policy orchestration. Includes automated training, evaluation, ...