As our species continue to develop more and more advanced technology it is getting nearly impossible to predict how next centuries will look like. Scientists in the 18th century could not even comprehend quantum physics, today we are developing first models of quantum computers. In the 20th century first models of primitive 3D printers started to appear. They could only print some very basic objects such as geometrical shapes. As for today we print bones, ears, blood vessels, skin and heart tissues.
Computer brains are becoming more intelligent -- we've been trying to work out who is smartest and sharpest since since the dawn of video games if not before. Computer'brains' in the world of Artificial Intelligence don't actually function organically, like a human brain, obviously. But as we continue to build new and ever more powerful layers of functionality into the machine brain, they can start to'ape' some of our human imperfections and nuances in an attempt to be more like us. Software application developers (and their IT'Ops' operations buddies) are working hard to move statistical models into computer brains and advance not just AI, but the inextricably closely related area of machine learning which helps feed the practice of'automation', which in and of itself has become the darling buzzword of the IT industry in recent times. Data intelligence firms like Elastic are building machine learning functions into their software as fast as they can.
According to legend, the medieval philosopher and Franciscan friar Roger Bacon created an all-knowing artificial brain, which he encased in a bronze, human-like head. Bacon, so the story goes, wanted to use the insights gleaned from this "brazen head" to make sure Britain could never be conquered. Following Bacon, a long-standing challenge for engineers and computer scientists has been to build a silicon-based replica of the brain that could match, and then exceed, human intelligence. This ambition pushes us to imagine what we might do if we succeed in creating the next generation of computer systems that can think, dream and reason for us and with us. Today there is little talk of brazen heads, but artificial intelligence seems to be everywhere.
A partial digital reconstruction of the brain previously made by Harvard. We've talked a lot about making a computer that works like the mammalian brain. The U.S. government is now betting $28 million dollars that all these projects are wrong. A series of three grants snagged by Harvard University from Intelligence Advanced Research Projects Activity (IARPA) last week has funded a "moonshot" project to throw out all of the previous attempts at understanding the brain and start fresh. But while DARPA focuses on military projects, IARPA focuses on intelligence agency research.)