"There can be no gainsaying of the fact that a great revolution is taking place in the world today. In a sense it is a triple revolution: that is, a technological revolution, with the impact of automation and cybernation; then there is a revolution in weaponry, with the emergence of atomic and nuclear weapons of warfare; then there is a human rights revolution, with the freedom explosion that is taking place all over the world. Yes, we do live in a period where changes are taking place." There once was a shepherd boy who was bored as he sat on the hillside watching the village sheep. To amuse himself he took a great breath and sang out, "Wolf!
The idea of superintelligent machines may sound like the plot of "The Terminator" or "The Matrix," but many experts say the idea isn't far-fetched. Some even think the singularity -- the point at which artificial intelligence can match, and then overtake, human smarts -- might happen in just 16 years. But nearly every computer scientist will have a different prediction for when and how the singularity will happen. Some believe in a utopian future, in which humans can transcend their physical limitations with the aid of machines. But others think humans will eventually relinquish most of their abilities and gradually become absorbed into artificial intelligence (AI)-based organisms, much like the energy making machinery in our own cells.
Unless you are living on Mars, or off the grid, then you should have seen some awesome predictions about artificial intelligence (AI) and what it might, and might not, achieve. So what do the experts predict about the future of AI? Let us put them into three camps: There are a group of people that believe AI will not have much impact, at least not for the next 40 or 50 years. So, as far as this group is concerned, they think that there is nothing to worry about. In contrast to the above group, there is a group of experts, innovators and scientists that think AI will become super-intelligent. They refer to a point called the AI Singularity, at which point computers become as clever as humans, but continue to improve their intelligence at an exponential rate of progress until they become much more intelligent than humans.
Students code software at desktops, while others assemble odd machines with wires and multi-colored boxes. Earning a spot at this elite university isn't easy; UC-Berkeley accepted a mere 14.8 percent of applicants for the class of 2020. So this young crew will likely be tomorrow's tech leaders and pioneers. Despite all the promise, it appears that BRETT is struggling. BRETT is a robot, and he – or she, or it – is attempting to place a small wooden block into a small hole. Again and again, BRETT swings his arm over the opening, attempts to place the block, but fumbles. Just can't make it fit. However, as robots go, BRETT has a huge advantage: he can learn. Every time BRETT swings his arm and fails, he calculates what went wrong. In essence he's doing what we humans do: he's failing, and in response he's deciding how to improve the next effort. I stand watching for about 15 minutes, and finally BRETT succeeds – a lengthy period given the simple task. But the astounding point is that the robot really did learn.