University Of Washington - Jeff Bilmes, Department Of Electrical Engineering Professor - The Challenges And Future Of AI And Machine Learning - Future Tech Podcast

Having studied and worked in the field of machine learning and artificial intelligence for over 25 years, Professor Jeff Bilmes has a different view of the field than many people have heard. Recently, he has been excited by the science of information management as it relates to machine learning–in other words, how to make large data sets smaller and more efficient. This is important for AI and machine learning, as the field is, at its core, about how to teach computers to solve complex tasks. Large and inefficient data sets make it more difficult for this to occur and significantly add to the cost of teaching computers with indirect algorithms. That the field has come so far in such a short time is due to three factors–big data and big information, large amounts of commodity vectors for supercomputing, including GPUs, and expressive mathematical "deep" models–but there is still much work to be done.