Artificial Intuition: A Talk with Monica Anderson

 

Monica Anderson is CTO and co-founder of Sensai Corporation and founder of Syntience Inc. She has created Industrial grade Model Based (programmed) AI systems for decades but insists that the path to human-like Understanding Machines requires adopting "Model Free Methods" where ALL Models of the Problem Domain are created by the system itself (through learning) instead of relying on limited (and limiting) Models created by programmers. She explains her approach using terms like "Connectome Algorithms", "Artificial Intuition", "Understanding Machines" and "Epistemological AI". She worked for Cisco until 1994 and Google until 2006 and in other companies focused on Natural Language Processing, Document Classification, Web Search, Neural Networks, and Deep Learning. She organized the (SF) Bay Area AI MeetUp for 115 MeetUps over 5 years. Monica Anderson is CTO and co-founder of Sensai Corporation and founder of Syntience Inc. She has created Industrial grade Model Based (programmed) AI systems for decades but insists that the path to human-like Understanding Machines requires adopting "Model Free Methods" where ALL Models of the Problem Domain are created by the system itself (through learning) instead of relying on limited (and limiting) Models created by programmers. She explains her approach using terms like "Connectome Algorithms", "Artificial Intuition", "Understanding Machines" and "Epistemological AI". She worked for Cisco until 1994 and Google until 2006 and in other companies focused on Natural Language Processing, Document Classification, Web Search, Neural Networks, and Deep Learning. She organized the (SF) Bay Area AI MeetUp for 115 MeetUps over 5 years.