Blog – Page 7

Can artificial intelligence (AI) recognize and understand things like human beings? Chinese scientific teams, by analyzing behavioral experiments with neuroimaging, have for the first time confirmed that multimodal large language models (LLM) based on AI technology can spontaneously form an object concept representation system highly similar to that of humans. To put it simply, AI can spontaneously develop human-level cognition, according to the scientists.

The study was conducted by research teams from Institute of Automation, Chinese Academy of Sciences (CAS); Institute of Neuroscience, CAS, and other collaborators.

The research paper was published online on Nature Machine Intelligence on June 9. The paper states that the findings advance the understanding of machine intelligence and inform the development of more human-like artificial cognitive systems.

Today, we’re excited to share V-JEPA 2, the first world model trained on video that enables state-of-the-art understanding and prediction, as well as zero-shot planning and robot control in new environments. As we work toward our goal of achieving advanced machine intelligence (AMI), it will be important that we have AI systems that can learn about the world as humans do, plan how to execute unfamiliar tasks, and efficiently adapt to the ever-changing world around us.

V-JEPA 2 is a 1.2 billion-parameter model that was built using Meta Joint Embedding Predictive Architecture (JEPA), which we first shared in 2022. Our previous work has shown that JEPA performs well for modalities like images and 3D point clouds. Building on V-JEPA, our first model trained on video that we released last year, V-JEPA 2 improves action prediction and world modeling capabilities that enable robots to interact with unfamiliar objects and environments to complete a task. We’re also sharing three new benchmarks to help the research community evaluate how well their existing models learn and reason about the world using video. By sharing this work, we aim to give researchers and developers access to the best models and benchmarks to help accelerate research and progress—ultimately leading to better and more capable AI systems that will help enhance people’s lives.