Nvidia has announced a significant advancement in generative AI, emphasizing capabilities that extend into real-world scenarios rather than just digital applications. During the International Conference on Learning Representations (ICLR 2025), the company showcased over 70 research papers focusing on systems that can engage in complex tasks such as robotics, protein design, and autonomous vehicles. The company's initiative, labeled a full-stack AI approach, shows a commitment to developing AI that can reason and interact with the environment to solve real-world challenges.
At the recent International Conference on Learning Representations (ICLR 2025) in Singapore, Nvidia unveiled more than 70 research papers showcasing advances in AI systems designed to perform complex tasks beyond the digital realm.
Nvidia's latest research highlights how combining agentic and foundational AI models can influence the physical world-spanning adaptive robotics, protein design, and real-time reconstruction of dynamic environments for autonomous vehicles.
Collection
[
|
...
]