Analogue engineering still relies heavily on manual intervention, but that is changing with the growing use of AI/ML.

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

UBTech Robotics is offering up to $18 million a year to hire a chief scientist for humanoid AI, signaling a fierce new talent ...

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

Abstract: Integrating learning-based techniques, especially reinforcement learning, into robotics is promising for solving complex problems in unstructured environments. Most of the existing ...

Reinforcement learning has become the central approach for language models (LMs) to learn from environmental reward or feedback. In practice, the environmental feedback is usually sparse and delayed.

Leaders, whether in boardrooms or garages, constantly face an unchanging force: uncertainty. For a CEO, making a good decision always involves factoring in as much data as possible, and then trusting ...

football_game ├── rf ├── football_env_ppo.py: training environment for PPO with gymnasium style with 12d observation space ├── football_env_ppo_8d.py: training environment for PPO with gymnasium style ...

AI agents are reshaping software development, from writing code to carrying out complex instructions. Yet LLM-based agents are prone to errors and often perform poorly on complicated, multi-step tasks ...

Fine-tuning & Reinforcement Learning for LLMs. 🦥 Train OpenAI gpt-oss, DeepSeek-R1, Qwen3, Gemma 3, TTS 2x faster with 70% less VRAM.

In some ways, Java was the key language for machine learning and AI before Python stole its crown. Important pieces of the data science ecosystem, like Apache Spark, started out in the Java universe.