The Third Wave of AI: Chatbots with a Brain

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.

Start

January 18, 2020 - 5:00 pm

End

January 18, 2020 - 6:00 pm

Address

Online Webinar   View map

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IDEAS Online Free Webinar

IDEAS & Data Application Lab co-host this live webinar.


国际数据科学与工程协会 IDEAS

IDEAS is a global nonprofit organization that is dedicated to fostering the data engineering and data science ecosystems and broadening the adoption of their underlying technologies to accelerate the innovations data can bring to society. Our goal is to create a community to connect AI and Data Science enthusiasts. All of the conferences that IDEAS host will demonstrate cutting-edge technology and feature a variety of AI and Data Science experts covering topics including industry trends, real-world applications, open-source software, solutions-based case studies, and many others.


Guest Speakers: Peter Voss

Topics: The Third Wave of AI: Chatbots with a Brain

Description: 

Alexa, chat bots, and other personal assistants 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, hard-coded task at a time — 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.

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