Fifteen years from now in a North American suburb.
A particular pattern in the human brain is connected to higher levels of intelligence.
Getting back from lunch to find a parking ticket can ruin your day, especially if you think you did nothing wrong.
Artificial intelligence is learning in seconds what took humans a lifetime to master.
When in danger of A.I. overlords, press the big red button.
While robotics and AI research is taking massive strides forward, our social development hasn’t really kept up with them.
Despite these tentative first steps definitely look like a work in progress, don’t look so stunned when you’ll learn about the first best-selling novel written by a robot (I’ve seen worse things published). It all starts now.
Security analysts rely on all sorts of automated software that spots suspicious activity. Even so, an analyst has to churn through even thousands of false positives on a daily basis, which makes it easy to miss a cyber attack. Coming to their rescue is MIT which reports an artificial intelligence ‘tutored’ by the best human experts can identify 85 percent of incoming attacks. Most importantly, it’s not confined to a certain set of attack patterns and learns to adapt with each new attack.
We tested Microsoft’s CaptionBot and had some laughs.
How cool would it be to solve most of your personal problems like you’d use google. “Where’s my keys?” or “What meds did the vet say I should give my cat?”. Well, be careful what you wish for, because there’s a reason a personal search engine doesn’t exist yet: it can only work if you’re under surveillance 24/7. Or .. at least when you’re awake.
Artificial Intelligence. To most of us that brings up images and short clips from movies where AI dominates Earth and enslaves us poor humans. Put away those connotations for a moment. AI in its purest sense, where programs evolve and self-improve has been very interesting. Google recently showcased an interesting program; they plugged it into a game on the PS4, and in a matter of hours, the program had taught itself to play the game, and a few hours later could play it better than any human. Although this is slightly frightening, it shows how powerful technology is getting.
A newly founded artificial intelligence lab, called Vicarious, wants to build the world’s first, unified artificial intelligence that can match human intelligence. This is not the first time we’ve heard companies or universities trumpet such ambitious goals, but considering who’s backing the project I can only entertain the possibility Vicarious might just do it. Entrepreneurs with great vision and a track record of backing successful companies have all hopped aboard, like Elon Musk (SpaceX, Tesla), Mark Zuckerberg (Facebook), Peter Thiel (Paypal, founder of venture capital and hedge funds worth billions), Jerry Yang (Yahoo! founder), Jeff Bezos (Amazon founder) and more.
Despite decades worth of research, unbelievable computing power and sophisticated algorithms, one of today’s best artificial intelligence can’t score better than a four year old on a standard IQ test.
Researchers from the University of Washington and the Allen Institute for Artificial Intelligence (AI2) have developed a computer software that scored 49% on high-school geometry SAT tests – an average score for a human, but a great one for current AIs.
Facial recognition and motion tracking is already old news. The next level is describing what you do or what’s going on – for now only in still pictures. Meet NeuralTalk, a deep learning image processing algorithm developed by Stanford engineers which uses processes similar to those used by the human brain to decipher and interpret photos. The software can easily describe, for instance, a band of people dressed up as zombies. It’s remarkably effective and freaking creepy at the same time.
Tesla Motors’ Elon Musk has said that our civilization is dangerously close to encountering AI problems within a “five-year timeframe, 10 years at most.” He made the comment on the website Edge.org shortly before deleting it. His point was that, sometime soon, we may actually create a form of artificial intelligence that decides to rise up and wipe out the
This question was prompted to Ray Kurzweil – well known futurologist, pioneer of the Singularity Movement and Director of Engineering at Google – by a member of the audience during a Q&A session at an Executive Program hosted at Singularity University last October. You might not give it much thought now, but the truth is half of all American jobs could be replaced by robots in just a couple of decades. If you’re a teller, supermarket cashier, call center operator or even a famer, you’ll likely lose your job in the coming decades. So, what’s to do then? Should we all rally and ban robots? It’s no easy topic, but at the same time it’s important, I think, not to panic. We need to remember that this isn’t the first time something like this happened. It’s the old human vs automation problem. How many millions of jobs were lost to mass production in the late XIXth century? How many more once computers started permeating society? At the same time, new jobs were made. Just look at where the information industry is today. The major challenge is not if new jobs can be made. This isn’t really problem. The real challenge is to make these available at the right pace and make sure people have the necessary resources to repurpose their skill set. I’ll leave you to Ray.
In his book “Do Androids Dream of Electric Sheep”, one of my favorite writers Philip K. Dick explores what sets apart humans from androids. The theme is more valid today than it ever was, considering the great leaps in artificial intelligence we’re seeing coming off major tech labs around the world, like Google’s. Take for instance how the company employs advanced artificial neural networks to zap through a gazillion images, interpret them and return the right one you’re looking for when you make a query using the search engine. Though nothing like a human brain, the networks uses 10-30 stacked layers of artificial neurons with each layer doing its job in incremental order to come to an “answer” by the final output layer is finished. While not dead-on, the network seems to return results better than anything we’ve seen before and as a by-product, it can also “dream.” These artificial dreams output some fascinating images to say the least, going from virtually nothing (white noise) to something’s that out of a surrealist painting. Who says computers can’t be creative?
Don’t you just hate it when you’re looking for support for a service or app you bought, only to be greeted by some monosyllabic robot ? Ok, that can happen just as well when dealing with outsourced tech support, but at least you know you’re talking to a real person. Well, that might change sooner than you might think. The singularity is getting closer by the moment. Just take a look at Google’s new chatbot which according to the developers has moderate “natural language understanding”. In other words, it can roll with the punches and continue the conversation by itself without following predefined question – answer. Of course, after a while you can still tell it’s not human (fails Turing test), but that doesn’t mean it isn’t entertaining. Have a look at how it answers to “what’s the purpose of life?”.
Using a novel deep learning algorithm, a team at UC Berkeley demonstrated a robot that learns on the fly and performs various tasks that weren’t pre-programmed. It starts off shy and clumsy, but eventually gets the ahead of it. For instance, after it stomped a bit around its environment, when given a new task, but with no further instructions, the robot learned by itself to assemble LEGO bricks or twist caps onto pill bottles.