It is important to clarify: we do not use VLMs to drive the robot. Using a heavy cloud model to steer in real time would ...

Why do people make the choices they do? Researchers from the Center Synergy of Systems (SynoSys) at TUD Dresden University of Technology, the Max Planck Institute for Human Development, and the ...

Large language models (LLMs) are rapidly being integrated into clinical workflows, supporting tasks such as diagnosis ...

Nuttida Rungratsameetaweemana is challenging a story neuroscience has told for decades. According to the conventional account ...

Flexion Robotics has introduced Reflect v1.0, a robotics intelligence platform that enables humanoid robots ...

The biggest innovation over the last year is that inference-time scaling techniques that have been pioneered in natural language models have now come to visual language models,” said Eric Heim, chief ...

Abstract: Building a powerful vision-language model (VLM) necessitates a holistic system design encompassing model architecture, data curation, and training paradigms. In this paper, we present a ...

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While on-policy distillation offers dense supervision for training small reasoning models, its optimization dynamics in the multimodal domain remain under-explored. In this work, we challenge the ...

Abstract: With the development of deep learning technology, the facial images generated by deepfake technology have reached a level of authenticity that is difficult to distinguish, posing a serious ...

Vision-Language Action (VLA) models have enabled language-driven robotic manipulation by integrating language instructions, visual perception, and action generation. However, existing VLA approaches ...