A new study shows an application of machine-learning directed optimization (ML-DO) that efficiently searches for high-performance design configurations in the context of biohybrid robots. Applying a ...

As machine learning becomes more pervasive in the data center and the cloud there will be a need to share and aggregate information and knowledge but without exposing or moving the underlying data.

What if you could push a button and beat the fastest turn in the world for the 100m backstroke? For Swimming Australia, a more unified view of data was essential to optimizing athlete performance at ...