arXiv:2511.06754v3 Announce Type: replace-cross
Abstract: Inspired by how humans reason over discrete objects and their relationships, we explore whether compact object-centric and object-relation representations can form a foundation for multitask ro…
The Center for AI Standards and Innovation (CAISI), a division of the US Department of Commerce, has signed agreements with Google DeepMind, Microsoft, and xAI that would give the agency the ability to vet AI models from these or…
ServiceNow has unveiled updates to its workflow management platform advancing its redefinition of itself as the “AI control tower for business reinvention” at its Knowledge customer event this week.
The AI Control Tower produc…
arXiv:2605.03053v1 Announce Type: new
Abstract: Organoids are complex, three dimensional, self-organizing cell cultures which manifest organ-like features and represent a powerful platform for studying human disease and developing treatment options. O…
arXiv:2605.04045v1 Announce Type: new
Abstract: Audio-Visual Intelligence (AVI) has emerged as a central frontier in artificial intelligence, bridging auditory and visual modalities to enable machines that can perceive, generate, and interact in the m…
arXiv:2605.03276v1 Announce Type: new
Abstract: Real-world video editing demands not only expert knowledge of cinematic techniques but also multimodal reasoning to select, align, and combine footage into coherent narratives. While recent Large Multimo…
arXiv:2605.03941v1 Announce Type: new
Abstract: Achieving Artificial General Intelligence (AGI) requires agents that learn and interact adaptively, with interactive world models providing scalable environments for perception, reasoning, and action. Ye…
arXiv:2605.03352v1 Announce Type: cross
Abstract: Multimodal Large Language Models (MLLMs) have demonstrated robust capabilities in recognizing everyday human activities, yet their potential for analyzing clinically significant involuntary movements i…
arXiv:2605.04040v1 Announce Type: new
Abstract: Text-to-image generation has advanced rapidly with diffusion models, progressing from CLIP and T5 conditioning to unified systems where a single LLM backbone handles both visual understanding and generat…
arXiv:2605.03390v1 Announce Type: cross
Abstract: Supervised talking head forgery detection faces severe generalization challenges due to the continuous evolution of generators. By reducing reliance on generator-specific forgery patterns, self-supervi…