Tag: world-models
All the articles with the tag "world-models".
-
The Edge of Artificial Intelligence Research: A Citation-Grounded Survey from ICML, ICLR, NeurIPS (2023–2026)
A domain-by-domain survey of the artificial intelligence research frontier, grounded in specific papers from ICML, ICLR, NeurIPS, and adjacent venues (CoRL, CVPR, Nature). Covers natural language processing, speech, video, sound, robotics/VLA, biology, 3D generation, diffusion architecture, and the renaissance of reinforcement learning and world models. The through-line: pretraining is no longer the frontier — test-time compute, generative simulators, and embodied grounding are.
-
The Perception–Planning Gap: What's Actually Hard About Visual AI in 2026
A technical survey of where visual perception and planning research actually stands in 2026. Pixel-level perception is largely solved at the representation layer, but perception-for-action — geometry, physics, dexterity, long-horizon control — is not. Reading the recent literature on JEPA, DreamerV3, Sora-as-world-model, RT-2 / OpenVLA / π0, Helix, Gemini Robotics, DUSt3R / MASt3R / VGGT, and the world-model evaluation papers (WorldModelBench, Physion, IntPhys 2), the through-line is the same: we have strong representations and architectural ideas, but the data, evaluation, and physical-grounding infrastructure to validate them is what's missing.