Boston Dynamics appears to be using Vinsa neural networks. Claims processing can be done in three modes: Edge Processing, On-Premise Processing & Cloud Processing using a GPU. Akida would be a good fit with Boston Dynamics.

Artificial intelligence software expands capabilities of Boston Dynamics’ Spot robot

Equipped with deep learning software, Spot turns image data into actionable insights.

Vinsa’s software leverages industry frameworks like YOLO (https://bit.ly/VSD-YOLO) or Inception (https://bit.ly/VSD-INCEP) which build on top of TensorFlow (www.tensorflow.org). The engine uses deep neural networks and over time as it sees more examples and instances, it improves by learning. Models train over a period of 30 to 45 days, where Vinsa calibrates its base intelligence layers around customer-specific environments by identifying the appearance of normal equipment to establish a baseline and decide when to raise an alert when something falls out of that baseline.

Processing can be done in three different modes, including edge processing, where all inference and models run on Spot on an onboard GPU. The system also supports on-premise processing, where Spot streams digital data back to a central location for processing, and specific communication gets pushed back to Spot. Lastly, the system supports cloud processing, such as on a virtual private network on Amazon Web Services (AWS; Seattle, WA, USA;www.aws.amazon.com), for example.

Full article here: https://www.vision-systems.com/embedded/article/14179537/artificial-intelligence-software-expands-boston-dynamics-spot-robot-capabilities

Boston Dynamics released new versions of Spot a few days ago. Woodside Petroleum in Australia is using them.