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The AI industry is now facing its next big challenge.
What are the necessary properties of representational structures that could allow vast amounts of data become meaningful in the human sense of the word? How can knowledge architectures be constructed in a way that allows for both the efficiency and effectiveness of models they support?
In this keynote, Gadi Singer will discuss anthropomorphic conceptual structures and their benefits for enhancing Cognitive AI capabilities, as well as his model of the three levels of knowledge – Thrill-K – which can serve as a blueprint for building AI systems that are both efficient and scalable.
Talk+Live Q&A at the Plaza in Connected Data World Center
You need an access pass to attend this session: Diversity Access Pass or Full Access Pass apply