We take Big Data and/or Edge Sensor Data for Pattern of Life Analysis and Leverage Tensor Networking for Entanglement Predictions
Edge AI is a rapidly growing field of artificial intelligence that brings AI capabilities to devices at the edge of the network, such as smartphones, cameras, and robots. This allows for faster and more efficient processing of data, as well as improved privacy and security.
Pattern of life analysis (PoLA) is a technique for identifying and analyzing patterns in behavior. It can be used to understand the current state of an entity, detect anomalies, and predict future behavior. PoLA can be applied to ML and AI ops to improve the performance and reliability of ML and AI models in production.
Tensor networking involves breaking down high-dimensional tensors into networks of smaller, interconnected tensors. This technique makes handling complex, multi-faceted data more feasible, as it reduces the computational complexity that comes with high-dimensional spaces.