Closing the Sim-to-Real Gap: Why AI Still Needs Real-World Data

Hosted by Encord

Simulation promised to solve physical AI's data problem. For some things, it has. For others, teams are finding out the hard way that it hasn't. A discussion with people building physical AI covering: the sim-to-real gap in practice (where simulation held up and where it fell apart on deployment); robustness under distribution shift (what breaks when a model meets a warehouse or road it wasn't trained for); how much real data is actually enough and how teams decide when to stop trusting the simulator; and where sim earns its keep. Register to attend live or receive the recording. 30 min.

When

Available on demand

Format

Webinar

For

teams building physical AI