[Editorial] Skynet has been a very prevalent icon in tech-culture for the past decade. The fear of Machines rising against humanity and robotic overlords are all frequently visited territories. Interestingly, one would expect that the expected result of all the Technophobic media might have been to deter us away from A.I. work; but the actual effect seems to be the opposite. Scientists have become more or less obsessed with achieving a thinking, rationalizing, and sentient Intelligence; simulated or otherwise. Skynet of legend, I remember, was a Neural-Net based Artificial Intelligence. It worked on the concept of “Machine Learning”. It so happens that Nvidia showcased what appears to be the first fully Scalable Deep Neural Network based (Primitive) Intelligence System. A System that can deploy “Machine Learning” and actually learn just like a human.
Deep Neural Network Intelligence demonstrates Unsupervised Machine Learning at Nvidia’s GTC
I think a basic introduction on how Neural Nets work and function is in order. Of course the actual way a neural net works is low level code, so I can only provide a very simplified explanation. Neural Networks were thought of first as a way to perfectly simulate the Human and Animal nervous system where a neuron fires for any object ‘recognized’. The reasoning went so that if we could replicate the trigger process with virtual ‘neurons’ we should be able to achieve ‘true’ machine learning and eventually even Artificial Intelligence. Now thing is, Nvidia isn’t exactly the first company to achieve a working Deep Neural Network (with collaboration from Stanford University). The first DNN was created by Google. Thats right, the one company that is powerful and ambitious enough to pioneer something like true A.I. capabilities.