In this fascinating documentary Stephen L. Thaler, Ph.D. illustrates how a radically different form of AI using artificial neural networks of Imagitrons and Perceptrons can actually create their own logic and learn by using simple rules that arise spontaneously from unintelligent natural means. In this two part system imagination and perception combine to create a brainstorming dialogue within the Creativity Machine to from a model of cognition and true machine intelligence. The machines Thaler creates can literally think for themselves there by eliminating the need to engineer intelligence via sophisticated programming schemes. These Creativity Machines as they are called, can both imitate and produce creative thinking. The design of automobiles, aircraft and music compositions have all be accomplished using Creativity Machines. The implications of Thalers work are truly astounding and could advance the field of AI by many decades.
Podcast Episode 32: From The Eye Of The Storm Today’s podcast covers lots of controversial tech including advertisements that will respond of your brain activity, in-call Skype ads and Rebecca MacKinnon’s work on taking back the internet. We have long discussion over patent and what’s wrong with the system. Also we talk at length about the DC comics reboot.
In this talk Stanford University professor Andrew Ng discusses machine learning, computer vision and his efforts to advance robotics research. If robots are to become truly useful for humanity, they must possess the ability to perceive and distinguish between objects, places and persons. A requirement that presents a set of unique challenges for robotics programmers and engineers to grapple with. If such engineering challenges can be overcome, some believe that we could see robots become as ubiquitous as cell phones; “In five or ten years robots will routinely be functioning in human environments.” Source: Reid Simmons professor of robotics; Carnegie Mellon University Simmons work focuses on socially interactive robots another vital and important aspect of robotics research.