The Creativity Machine and Synthetic Consciousness

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.

Read More:

Imagination-Engines

Interview with Dr. Stephen Thaler

Stephen Thaler’s Imagination Machines

Device for the Autonomous Generation of Useful Information*: A Completely Connectionist Approach to Cognition, Creativity, and Machine Consciousness by Stephen L. Thaler, PhD

Thalamocortical Algorithms in Space! The Building of Conscious Machines and the Lessons Thereof by Stephen L. Thaler, PhD

Ebongeek Visits The LTG Podcast Episode 32 – From The Eye Of The Storm

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.

Play in new window | Download | LTG on iTunes (Duration: 9:49 — 9.0MB)

Hosts: Victor Bognot, Radford Castro, Tony Hannides, Sean Wilburn

Special Guest: Ken from Ebongeek.com

00:43    PS Vita online features revealed
09:25    Top 5 Paid Android apps
15:10    Ads that read your brain activity
19:57    Google Plus has tallied 20 million users
22:54    Rebecca MacKinnon on taking back the internet
27:54    In-call Skype Ads
32:06    Impulse Technology Sues over Kinect technology
42:15    Battery Saving Methods for mobile devices
48:19    Comic Con conversation – DC comics plan to reboot 50 comics in one month
1:07:30 Rad’s topic shorts

 

The Future of Robotics And Artificial Intelligence

In this talk Stanford University professor Andrew Ng discusses machine learningcomputer 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.

Read more:

A Vision-based System for Grasping Novel Objects in Cluttered Environments

Robotic Grasping of Novel Objects

Peripheral-Foveal Vision for Real-time Object Recognition and Tracking in Video