The purpose of the conference was to exchange ideas about the creation of artificial systems with general intelligence at, and ultimately beyond, the human level. GI-09, the Second International Conference on Artificial General Intelligence, was held March 6-9 in Arlington, Virginia. Ben Goertzel chaired the conference, and Marcus Hutter and Pascal Hitzler chaired the program committee. Continuing the mission of AGI-08 (which was held March 2008 at the University of Memphis), the purpose of the conference was to provide a venue for exchange of in-depth scientific ideas and results between researchers working directly toward the original goal of the AI endeavor: the creation of artificial systems with general intelligence at the human level and ultimately beyond. The first day of the conference featured in-depth tutorials on leading AGI systems and approaches, including introductions to the SOAR, Texai, and OpenCog software, and overviews of the logic-based, reinforcement learning and program-induction approaches to AGI.
There are five main schools of thought in machine learning, and each has its own master algorithm – a general-purpose learner that can in principle be applied to any domain. The symbolists have inverse deduction, the connectionists have backpropagation, the evolutionaries have genetic programming, the Bayesians have probabilistic inference, and the analogizers have support vector machines. What we really need, however, is a single algorithm combining the key features of all of them. In this webinar I will summarize the five paradigms and describe my work toward unifying them, including in particular Markov logic networks. I will conclude by speculating on the new applications that a universal learner will enable, and how society will change as a result.
The following email was sent today to the MIT community by Provost Martin A. Schmidt. I am writing to share the final report of The Engine Working Groups. At the beginning of last year, I charged five MIT working groups and an advisory committee, led by School of Engineering Dean Anantha P. Chandrakasan, to guide the development of Institute policies and procedures for engaging with The Engine. The Engine, an external innovation accelerator, was launched by MIT to help start-ups working on capital- and time-intensive technologies access long-term funding, workspaces, equipment, services, and entrepreneurial expertise needed to bring their ideas from inception to the marketplace. The official opening of The Engine took place in September.
Do join our debate chaired by Will Hutton, author of'How Good We Can Be', on The Future with AI: Will it be good for us? The UK has a wealth of capability in AI techniques and their application, but a future with AI raises many questions. In this 90 minute debate our panel of thought leaders chaired by Will Hutton, author of'How Good We Can Be', will address your questions. They will discuss the safeguards that might be needed to ensure a responsible and ethical approach towards the applications of AI technologies. The debate will be followed by refreshments and networking.