Start
October 13, 2018 - 5:00 pm
End
October 13, 2018 - 6:00 pm
Address
Online Webiner View mapIDEAS & Data Application Lab co-host this live webinar:
Speakers – Peter Voss:
Peter Voss’ careers include being an entrepreneur, engineer and scientist. His experience includes growing a computer solutions company from zero to a 400-person IPO. For the past 15 years his focus has been on developing AGI (artificial general intelligence). In 2009 Peter founded Smart Action Company, which offers the only call automation solution powered by an AGI engine. He now heads up Aigo.ai Inc., which is developing and selling increasingly advanced AGI systems. Peter also has a keen interest in the inter-relationship between philosophy, psychology, ethics, futurism, and computer science.
Topics: Beyond Chat Bots: Towards Truly Intelligent Conversational Agents
Alexa and other chat bots have taken the world by storm. However, the current reality is that natural language applications have severe limitations, failing on tasks that even a child could easily handle. They typically have no memory of what was said earlier, don’t reason about their task, and have no common sense. Moreover, they are usually engineered to perform just one specific task — i.e. they do not have any general intelligence.
Originally (the first wave), conversational agents were programmed manually using logic flow. Everyone is well aware of limitations in scaling and maintaining such system. More recently (in the second wave), big data and machine learning have automated task classification (intent identification) and some key parameter extraction. However, we now also understand the difficulty in obtaining massive amounts of manually tagged training data, and the problems with lack of transparency, reasoning, and real-time adaptability in these systems.
This talk will explain how a cognitive architecture approach can overcome many of these limitations and provide a much more intelligent platform for conversation agent. A practical example of this ‘third wave’ technology will be demonstrated.
About Data Application Lab:
About IDEAS;
