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Machine Learning Using Semantic Concepts Represented with Temporal and Spatial Data

Machine Learning Data Representations, Architectures, and Systems That Intrinsically Encode and Represent Benefit, Harm, and Emotion to Optimize Learning

Fully Automated Non-Contact Remote Biometric and Health Sensing Systems, Architectures, and Methods

Efficient High Bandwidth Shared Memory Architectures for Parallel Machine Learning and AI Processing of Large Data Sets and Streams

Method, Machine-Readable Medium and System to Parameterize Semantic Concepts in a Multi-Dimensional Vector Space and to Perform Classification, Predictive, and Other Machine Learning and Ai Algorithms Thereon

Data Representations and Architectures, Systems, and Methods for Multi-Sensory Fusion, Computing, and Cross-Domain Generalization