Outcast_Searcher wrote:So guess what -- WE WON'T KNOW IF "SMART" A/I IS POSSIBLE UNTIL WE CAN ACTUALLY BUILD THE DAMN THING AND SEE IF IT IS, FOR EXAMPLE, SELF-AWARE, can laugh at jokes, can make reasonable judgements, etc.
Vicarious who?
Vicarious is a three-year old California Flexible Purpose Corporation (thus the FPC after its name), which instead of maximizing shareholder value, like a normal corporation, is aiming to fulfill a singular purpose -- to solve the important algorithmic problems behind building a human-like AI. For Captcha, its already succeeded, but Vicarious's long-term goal is to generalize its Captcha AI into a complete robotic brain that is as smart as a human in all areas of sensory perception.
"Our goal is to combine insights from neuroscience with modern machine learning techniques and cast them into mathematical algorithms that are just as intelligent as humans," Phoenix told us.
The three-year-old startup was founded by Phoenix, formerly entrepreneur in residence at Founders Fund, and co-founder Dileep George, formerly chief technology officer of Numenta. Vicarious is running on its second round of funding. The first seed round in 2010 was $1.1 million, and its Series A for $15 million was just completed last year, giving the six-person company the time and money it thinks it needs to fulfill its mission of casting human intelligence into mathematical algorithms, which it expects to achieve in five to seven years.
How it works
Vicarious's secret weapon is what it calls a recursive cortical network (RCN) -- a machine learning framework that embodies the structural and computational power of the brain's neocortex.
"Our algorithms express what we think is going on inside the neocortex of the brain," says Phoenix.
Thus the big difference between Vicarious's models of the brain and the neural network models of the colossal efforts of the European Union's Blue Brain Project and the US Defense Advance Research Project Agency's (DARPA's) Systems of Neuromorphic Adaptive Plastic Scalable Electronics (SyNAPSE), is that Vicarious is not trying to mimic all the details of the biological brain, but only its overall functionality.
"We are not trying to emulate the physical brain -- like the EU's Blue Brain or DARPA's SyNAPSE program," said George. "Rather we are attempting to understand what the brain is doing and encoding that into mathematical algorithms. This recursive scaffold allows our algorithms to understand how objects in the world are related to each other and what they are used for, and that allows us to skip over all the complexity that is built into models trying to emulate all the details of the brain's connectivity."
New brain-mimicking artificial intelligence software can read security images called CAPTCHAS as well as people do, its developer says--but scientists are skeptical
By Susan Kuchinskas
Luis von Ahn has heard it all before. As co-inventor of the CAPTCHA, those annoying images composed of wiggly letters and numbers that Web sites use to make sure you’re a human rather than a machine, von Ahn has received as many as 50 claims over the past decade of ways to beat his program.
Make that 51.
...
Vicarious's CAPTCHA-solving demonstration is an example of "narrow artificial intelligence," a technology that can match or even exceed human performance on a narrowly defined task. IBM's chess-playing Deep Blue is another such example. But Vicarious insists its computer perception software is the foundation of an AI that will learn the way humans do—by experiencing the world around it, principally via vision, and then identifying patterns. "If an algorithm solves vision in general, it is not narrow AI, it's a general AI system,” says, Dileep George, also a Vicarious co-founder. “We are working on a general algorithm for solving [the] vision problem, and CAPTCHA is a stepping stone to that.”
...
CAPTCHA inventor von Ahn, an associate professor of computer science at Carnegie Mellon University, doesn’t seem excessively worried. It is hard to determine exactly how much better Vicarious's technology is than other work in the field, he says. The Vicarious approach, which relies on visual perception, is in line with current thinking about AI, according to von Ahn. "Many artificial intelligence researchers spend most of their time dealing with perception,” he says. “It's believed that our own intelligence derives from our visual cortex.”
Even if it proves to be a technological dead end, "the one nice thing about the approach of using computer vision is that at the very least, it has applications," von Ahn notes. For example, technology based on Vicarious’s system might someday give a self-driving car the ability to identify pedestrians straying onto a roadway.
Keith_McClary wrote:Even if it proves to be a technological dead end, "the one nice thing about the approach of using computer vision is that at the very least, it has applications," von Ahn notes. For example, technology based on Vicarious’s system might someday give a self-driving car the ability to identify pedestrians straying onto a roadway.
Rune wrote:We saw a machine defeat the worldLs chess champion,
I have to wonder what part of the human mind is least able to be duplicated by machine intelligence. I don't think that there is ANY part of it that is not replicable by some digital analog.
Return to Open Topic Discussion
Users browsing this forum: No registered users and 23 guests