WAM
PulseAugur coverage of WAM — every cluster mentioning WAM across labs, papers, and developer communities, ranked by signal.
4 day(s) with sentiment data
-
New benchmark reveals local image watermark vulnerabilities
A new benchmark evaluates the robustness of local invisible image watermarking methods against 55 different image transformations. The study found that while MaskWM offered the strongest payload recovery and localizatio…
-
Shengshu Technology's Motus2 enables robot self-evolution with closed-loop learning · 2 sources tracked
Shengshu Technology has released Motus2, a world model for embodied AI that aims to enable robots to self-evolve through a closed-loop system of action, prediction, and evaluation. This new model integrates multiple mod…
-
Mysterious Embodied AI 'MVP' Shows Human-Like Cognition and Self-Evolution
A mysterious team has released several impressive demonstration videos showcasing a new embodied AI model codenamed "MVP" (Make Veritable People), which aims to imbue robots with human-like cognitive abilities and conti…
-
New APT method improves image tamper detection in regenerated images
Researchers have developed a new method called APT (Anchor-aligned Perturbations) for detecting image tampering, specifically in images that have undergone full regeneration rather than simple splicing. This technique e…
-
Future Robotics secures over ¥1B in 6 months, deploys robots in 500+ homes
Future Robotics, a company specializing in household general-purpose robots, has secured over 1 billion yuan in three funding rounds within six months. The latest round saw investment from ByteDance, along with other pr…
-
EgoGenesis simulator generates egocentric videos to boost embodied AI training
Researchers have developed EgoGenesis, a simulator designed to generate egocentric world-action videos for embodied AI training. The system utilizes a pretrained video generation model enhanced with Online Anchored Proj…
-
World Models at ICML 2026: LAWM and WAM converge for embodied AI
Research at ICML 2026 indicates a paradigm shift in world models, moving beyond simple video prediction towards real-world control. While Latent Action World Models (LAWM) provide foundational physical intuition from vi…
-
New framework steers robot models using human videos
Researchers have developed WAM-TTT, a novel framework designed to steer robot foundation models (RFMs) using human play videos. This method allows for adaptation without requiring additional robot demonstrations or task…
-
NVIDIA's Jim Fan: VLA and remote operation dead, World Action Models rise
NVIDIA's Jim Fan declared the end of Visual-Language-Action (VLA) models and remote operation in robotics, advocating for World Action Models (WAM) as the new paradigm. Fan proposed that WAMs, inspired by Large Language…