Large-Scale Distributed Analytics: A Research Program

Since starting my part-time appointment as an associate professor at the Australian National University, I have been thinking about spending more time on fundamental research. As Don Knuth counsels, “if you find that you’re spending almost all your time on theory, start turning some attention to practical things; it will improve your theories. If you … More Large-Scale Distributed Analytics: A Research Program

IBM Watson: Fake It till You Make It?

Like many AI researchers, I watched wide-eyed when IBM’s Watson beat human world champions at the difficult game of Jeopardy in 2011. It was a watershed event in AI history and it certainly provided a much-needed boost to knowledge-representation-based approaches to AI, against a backdrop of 20 years of superior advances in statistical approaches to AI. … More IBM Watson: Fake It till You Make It?

Unifying Logic and Probability for Learning

Unifying logic and probability is an active and ongoing research topic of great interest to many. There are many proposals of probabilistic logics in the literature, each with a different motivation, either computational or philosophical, and a different system of syntax and semantics. This state of affairs is confusing and not satisfactory, especially in view … More Unifying Logic and Probability for Learning