ISSN : 2349-3917
Peter Morgan
University of Massachusetts Amherst, United States Cass Business School, England
Posters & Accepted Abstracts: Am J Compt Sci Inform Technol
The development of robotic systems with general intelligence (or AGI) is going to require algorithms that can take us far beyond deep learning and the simple image classifiers this was originally developed to solve. These AGI robotic systems will need to do things like inductive reasoning, planning and optimal learning. We will talk about some of the latest approaches to solve general intelligence now underway for deployment in future systems. I will take a look at how deep learning in robotics is presently being extended in ways that take these technologies far beyond the simple image classifiers that they were originally developed to solve. The development of Artificial General Intelligence (AGI) is going to require algorithms that can do things like inductive reasoning, planning and optimal learning from limited amounts of data. Several efforts are underway to develop these technologies for deployment in future robotic systems. We may well see these new approaches being given a lot more attention in the coming months and years ahead as we enter the new age of AGI. In this talk, I will present some of the newer more general approaches in solving intelligence that are currently under development with the view to deployment in the robots of the future. Anyone concerned or interested in what the future of artificial intelligence in robotics may look like and how soon we may get there, is encouraged to attend.
E-mail:
pmorgan@deeplp.com