(RL) is a type of machine learning where a model learns to make decisions by interacting with an environment. Unlike supervised learning, where the model is provided with labeled data, RL involves ...

Figure 02's human-like gait is the product of the company's simulated reinforcement learning system, and is just the beginning of its plans to make its robots perform physical tasks more naturally.

Separately, Databricks said it has found a new fine-tuning method that leverages Test-time Adaptive Optimization, a type of ...

Explore Figure AI’s breakthrough in humanoid robotics: scalable, human-like walking robots designed for diverse industries ...

Figure uses reinforcement learning to achieve fluid, human-like walking in its robots, seamlessly transferring simulations to ...

From smarter chatbots to data-driven insights, discover how AI's evolving ecosystem is transforming industries and driving ...

Despite consistent improvements in glycemic outcomes across simulations, real-world adoption is lagging. The study finds that ...

Unlike typical AI systems that thrive on large, fast-evolving datasets, agriculture presents unique constraints. Plant growth ...

Figure's AI-powered controller teaches its humanoid robots to walk more like a human, with subtle improvements in gait and ...