Human Archive, a startup founded by researchers from Berkeley and Stanford, is developing a new method to supply the artificial intelligence sector with essential resources. The company focuses on collecting real-world physical training data, a commodity that AI and robotics labs are currently racing to acquire. This data is vital for the development of advanced robotic systems and AI models.
To gather this information, the startup is paying gig workers in India. The data collection process involves these workers wearing camera-equipped caps and sensor devices. This specialized equipment captures the physical movements and environmental interactions necessary to train sophisticated algorithms.
By leveraging India’s gig economy, Human Archive aims to bridge the gap between human physical behavior and machine learning requirements. The involvement of Berkeley and Stanford researchers underscores the technical foundation of the company. As labs compete to build better robots, the data collected by these workers will serve as the foundational material for training the world's robots.
We don't rate truth. We strip the spin and show you which perspectives covered the story. You decide.
Read the original coverage
💬 Comments
📜 Comment Policy