Imagine that, an artificial neuron capable of operating 200 million times faster than a biological neuron. Now imagine an artificial neural network with an imagination as is presented in https://www.technologyreview.com/s/6102 ... agination/ where the entire neural net has an imagination operating 200 million times faster than our own brains. 200 million times faster is difficult to comprehend let alone being imaginative.
Now combine this with computers training themselves or training other computers as is presented in https://www.quantamagazine.org/why-self ... -20180221/.In the last few years, AI researchers have made impressive progress using a technique called deep learning. Supply a deep-learning system with enough images and it learns to, say, recognize a pedestrian who’s about to cross a road. This approach has made possible things like self-driving cars and the conversational technology that powers Alexa, Siri, and other virtual assistants.
But while deep-learning AIs can learn to recognize things, they have not been good at creating them. The goal of GANs is to give machines something akin to an imagination.
In the future, computers will get much better at feasting on raw data and working out what they need to learn from it.
Doing so wouldn’t merely enable them to draw pretty pictures or compose music; it would make them less reliant on humans to instruct them about the world and the way it works. Today, AI programmers often need to tell a machine exactly what’s in the training data it’s being fed—which of a million pictures contain a pedestrian crossing a road, and which don’t. This is not only costly and labor-intensive; it limits how well the system deals with even slight departures from what it was trained on. In the future, computers will get much better at feasting on raw data and working out what they need to learn from it without being told.
That will mark a big leap forward in what’s known in AI as “unsupervised learning.” A self-driving car could teach itself about many different road conditions without leaving the garage. A robot could anticipate the obstacles it might encounter in a busy warehouse without needing to be taken around it.
That will mark a big leap forward in what is known in AI as “unsupervised learning.”
Our ability to imagine and reflect on many different scenarios is part of what makes us human. And when future historians of technology look back, they’re likely to see GANs as a big step toward creating machines with a human-like consciousness.
Now all of this imaginative computing power would be operating at blinding speeds going faster than greased lightning. By the time we mortals even think about using pitchforks and torches, it will be "game over" for us.But now artificial intelligence researchers are rethinking the way their bots incorporate the totality of human knowledge. The current trend is: Don’t bother.
Last October, the DeepMind team published details of a new Go-playing system, AlphaGo Zero, that studied no human games at all. Instead, it started with the game’s rules and played against itself. The first moves it made were completely random. After each game, it folded in new knowledge of what led to a win and what didn’t. At the end of these scrimmages, AlphaGo Zero went head to head with the already superhuman version of AlphaGo that had beaten Lee Sedol. It won 100 games to zero.
The first time I remember the concept of one computer teaching another was in the movie, "Colossus:The Forbin Project"
Forbin is the designer of an incredibly sophisticated computer that will run all of America's nuclear defenses. Shortly after being turned on, it detects the existence of Guardian, the Soviet counterpart, previously unknown to US Planners. Both computers insist that they be linked, and after taking safeguards to preserve confidential material, each side agrees to allow it. As soon as the link is established the two become a new Super computer and threaten the world with the immediate launch of nuclear weapons if they are detached. Colossus begins to give its plans for the management of the world under its guidance. Forbin and the other scientists form a technological resistance to Colossus which must operate underground.
Here is a trailer from the movie, https://www.youtube.com/watch?v=u-LQFXfnhrI Maybe it will shake away some of the rust and spark some neurons to remember how the two super computers traded information back and forth on their screens to learn from each other.
So, a possible computer with an imagination operating 200 million times faster than I can think is beyond my comprehension. If this was to ever come about then surely we outsmarted ourselves.