ControlNet-v1-1

Digital Twins rely on surrogate models to mirror physical systems in real time, yet these models can degrade as operatin

Multi-hop retrieval-augmented generation (RAG) acquires evidence sequentially, with each new document potentially reveal

Buildings are expected to shift cooling loads in response to grid conditions. Thermal energy storage (TES) enables this

Controllable image generation remains challenging for creative professionals, who often require precise regional control

Retargeting human object interaction demonstrations to physics based simulation requires reproducing not only body motio

Fault recovery in process plants still relies heavily on plant operators, especially when faults fall outside predefined

The advent of video-action models offers a promising path for robot control. Nevertheless, we argue that repurposing vid

While recent Large Language Model (LLM)-based Text-to-Speech (TTS) systems have achieved remarkable naturalness, they pr

Self-hosted AI agent orchestration platform: dispatch tasks, run multi-agent workflows, monitor spend, and govern operat

Google DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.

Open source AI has shown how quickly developers can innovate when models, data and tools are shared. Robotics has the sa

Chinese open-weight model GLM 5.2 happily obliged