It's an effort to build an operational ontology for computers, using thought patterns that respond to absence and uncertainty as the basis of human consciousness. Like other deep learning projects ...

Gilbreth’s early work laid the foundation for what we now call human activity recognition (HAR). ... (AI) and deep learning. As the system continues to monitor and learn, ...

Dubbed MultiModel, the approach incorporates building blocks from multiple domains, and aims to generate good training results for a range of deep learning tasks – including speech recognition, image ...

Traditional machine learning struggles with the complexity and variety of human behaviours recorded by sensors. This project aims to improve Human Activity Recognition (HAR) by using “ensemble” ...

Deep learning models fail to capture the configural nature of human shape perception. iScience , 2022; 25 (9): 104913 DOI: 10.1016/j.isci.2022.104913 Cite This Page : ...

Will deep learning eventually become “artificial general intelligence” (AGI), matching human intelligence in every way? I don’t believe it will happen in the next 20 years.