Seat of Knowledge: Information-Centric Classification in AI - Class 2

#artificialintelligence 

Gadi Singer is Vice President and Director of Emergent AI Research at Intel Labs leading the development of the third wave of AI capabilities. The previous blog in this series introduced the concept of an information-centric classification of AI systems as a highly valuable view that is complementary to processing-based classifications such as Henry Kautz' taxonomy for neural symbolic computing. It also previewed a classification that emphasizes the high-level architectural choice related to information in the AI system. The first class of systems in this classification system with its'Fully Encapsulated Information' was detailed in the previous blog of this series. Systems in this class incorporate all information required for AI tasks in the weights and model parameters without leveraging any additional adjunct sources of information.