It's hard ignore the attention given to autonomy and robotics. The impact is significant and the reach is extensive, hitting transportation with self-driving cars, logistics and supply with mobile robots, and remote sensing applications with aerial vehicles or drones. Raffaello D'Andrea explores how autonomous indoor drones will drive the next wave of autonomous robotics development and growth.

Imagine building a model whose training data is collected on edge devices such as cell phones or sensors. Each device collects data unlike any other, and the data cannot leave the device because of privacy concerns or unreliable network access. This challenging situation is known as federated learning. Mike Lee Williams discusses the algorithmic solutions and the product opportunities.

How to ensure the blockchain data is trueHow to mapping between physical assets and digital assets? IOT+blockchain is the answer.The lecture will introduce PeerSafe and Fusion group commercial launch …