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Recent Vision Foundation Models (VFMs) predict depth, camera pose, and pointmap in a single forward pass without per-...
While Vision-Language-Action (VLA) models have advanced embodied AI, their fundamentally reactive paradigm severely l...
AI agents operate in persistent environments where early state changes can influence decisions far into the future. U...
Complex software systems develop over timescales that exceed the lifespan of any individual coding agent. Most agenti...
Hand Pose Estimation (HPE) is a fundamental technology for various applications such as AR/VR and robotics. In these ...
Discrete diffusion models for categorical generation are defined by a corruption kernel, which determines the interme...
Simulating societies of many large language model (LLM) agents is expensive, yet the questions asked of such simulati...
Embodied agents are increasingly built as systems around foundation models, where performance depends not only on mod...
LLM-agent services repeatedly execute small deterministic transitions between model and tool calls: route an outcome,...
AI models have achieved remarkable success across diverse domains, yet the mechanisms underlying their capabilities a...
The application of computer vision in agriculture has shown significant potential for improving crop monitoring and p...
Artificial intelligence (AI) has become a powerful approach to solving complex problems in critical domains. Many con...