The Great A.I. Awakening. Four days later, a couple of hundred journalists, entrepreneurs and advertisers from all over the world gathered in Google’s London engineering office for a special announcement.
The Great A.I. Awakening. Using Artificial Intelligence to Write Self-Modifying/Improving Programs. This article is the first in a series of three.
See also: Part 1, Part 2, Part 3. Introduction Is it possible for a computer program to write its own programs? Could human software developers be replaced one day by the very computers that they master? Venture capitalist Marc Andreessen explains how AI will change the world. AI’s Language Problem. Paul Allen: The Singularity Isn't Near. Futurists like Vernor Vinge and Ray Kurzweil have argued that the world is rapidly approaching a tipping point, where the accelerating pace of smarter and smarter machines will soon outrun all human capabilities.
They call this tipping point the singularity, because they believe it is impossible to predict how the human future might unfold after this point. Once these machines exist, Kurzweil and Vinge claim, they’ll possess a superhuman intelligence that is so incomprehensible to us that we cannot even rationally guess how our life experiences would be altered. Vinge asks us to ponder the role of humans in a world where machines are as much smarter than us as we are smarter than our pet dogs and cats.
Kurzweil, who is a bit more optimistic, envisions a future in which developments in medical nanotechnology will allow us to download a copy of our individual brains into these superhuman machines, leave our bodies behind, and, in a sense, live forever. The Extraordinary Link Between Deep Neural Networks and the Nature of the Universe. In the last couple of years, deep learning techniques have transformed the world of artificial intelligence.
One by one, the abilities and techniques that humans once imagined were uniquely our own have begun to fall to the onslaught of ever more powerful machines. Deep neural networks are now better than humans at tasks such as face recognition and object recognition. The Business Implications of Machine Learning – Free Code Camp. As buzzwords become ubiquitous they become easier to tune out.
Human and Artificial Intelligence May Be Equally Impossible to Understand. Dmitry Malioutov can’t say much about what he built.
As a research scientist at IBM, Malioutov spends part of his time building machine learning systems that solve difficult problems faced by IBM’s corporate clients. One such program was meant for a large insurance corporation. It was a challenging assignment, requiring a sophisticated algorithm. When it came time to describe the results to his client, though, there was a wrinkle.
“We couldn’t explain the model to them because they didn’t have the training in machine learning.” In fact, it may not have helped even if they were machine learning experts. As exciting as their performance gains have been, though, there’s a troubling fact about modern neural networks: Nobody knows quite how they work. True AI is both logically possible and utterly implausible. Suppose you enter a dark room in an unknown building.
Mapping the Brain to Build Better Machines. Take a three year-old to the zoo, and she intuitively knows that the long-necked creature nibbling leaves is the same thing as the giraffe in her picture book.
That superficially easy feat is in reality quite sophisticated. The cartoon drawing is a frozen silhouette of simple lines, while the living animal is awash in color, texture, movement and light. Is AlphaGo Really Such a Big Deal? In 1997, IBM’s Deep Blue system defeated the world chess champion, Garry Kasparov.
At the time, the victory was widely described as a milestone in artificial intelligence. But Deep Blue’s technology turned out to be useful for chess and not much else. Computer science did not undergo a revolution. Kurzweil Interviews Minsky: Is Singularity Near? The Hidden Algorithms Underlying Life. To the computer scientist Leslie Valiant, “machine learning” is redundant.
A Google DeepMind Algorithm Uses Deep Learning and More to Master the Game of Go. Google has taken a brilliant and unexpected step toward building an AI with more humanlike intuition, developing a computer capable of beating even expert human players at the fiendishly complicated board game Go. The objective of Go, a game invented in China more than 2,500 years ago, is fairly simple: players must alternately place black and white “stones” on a grid of 19 horizontal and 19 vertical lines with the aim of surrounding the opponent’s pieces, and avoiding having one’s own pieces surrounded.
How close are we to creating artificial intelligence... It is uncontroversial that the human brain has capabilities that are, in some respects, far superior to those of all other known objects in the cosmos. It is the only kind of object capable of understanding that the cosmos is even there, or why there are infinitely many prime numbers, or that apples fall because of the curvature of space-time, or that obeying its own inborn instincts can be morally wrong, or that it itself exists.
Nor are its unique abilities confined to such cerebral matters. The cold, physical fact is that it is the only kind of object that can propel itself into space and back without harm, or predict and prevent a meteor strike on itself, or cool objects to a billionth of a degree above absolute zero, or detect others of its kind across galactic distances. But no brain on Earth is yet close to knowing what brains do in order to achieve any of that functionality.
Why? Marvin Minsky Reflects on a Life in AI. Processors That Work Like Brains Will Accelerate Artificial Intelligence. Picture a person reading these words on a laptop in a coffee shop. Beyond Zero and One: Machines, Psychedelics, and Consciousness by Andrew Smart review – inside the minds of computers. Do androids dream of electric Kool-Aid acid tests? If there’s to be any hope for us, they will. That is the message of Andrew Smart’s splendidly mind-bending book, which mashes up Alan Turing, The Matrix, Immanuel Kant, “zombie AI”, Leibniz, and research on psychedelic drugs. Machine Learning Inspired by Human Learning. Big Data’s Mathematical Mysteries. Why Self-Driving Cars Must Be Programmed to Kill. When it comes to automotive technology, self-driving cars are all the rage.
Standard features on many ordinary cars include intelligent cruise control, parallel parking programs, and even automatic overtaking—features that allow you to sit back, albeit a little uneasily, and let a computer do the driving. Rock-Paper-Scissors: You vs. the Computer. Here's How Artificial Intelligence Could Kill Us All. Though zombies and global warming reign as the most popular existential threats of the moment, artificial intelligence is always hovering somewhere in the top 10. How Relying on Algorithms and Bots Can Be Really, Really Dangerous. Machines can make decisions. Miguel Nicolelis Says the Brain is Not Computable, Bashes Kurzweil’s Singularity. Philosophy will be the key that unlocks artificial intelligence. Blueprint for an artificial brain: Scientists experiment with memristors that imitate natural nerves. Scientists have long been dreaming about building a computer that would work like a brain.
Engineers solve a biological mystery and boost artificial intelligence. By simulating 25,000 generations of evolution within computers, Cornell University engineering and robotics researchers have discovered why biological networks tend to be organized as modules -- a finding that will lead to a deeper understanding of the evolution of complexity. Siri’s Inventors Are Building a Radical New AI That Does Anything You Ask. Why Cognition-as-a-Service is the next operating system battlefield.
Scientists See Advances in Deep Learning, a Part of Artificial Intelligence. What we read about deep learning is just the tip of the iceberg. Going Deeper into Neural Networks. The Trouble with Teaching Computers to Think for Themselves, by David Berreby. The Next Big Thing You Missed: The Quest to Give Computers the Power of Imagination. Computer smart as a 4-year-old. We’re on the cusp of deep learning for the masses. You can thank Google later.
CAPTCHA Busted? AI Company Claims to Have Broken the Internet's Favorite Protection System. Ray Kurzweil Plans to Create a Mind at Google—and Have It Serve You. Inside the Artificial Brain That’s Remaking the Google Empire. Google Creates Learning Brain, Turns It Loose On The Internet. IBM researchers get closer to brain-like computing. Why IBM’s New Brainlike Chip May Be “Historic” IBM Scientists Show Blueprints for Brainlike Computing. So It Begins: Darpa Sets Out to Make Computers That Can Teach Themselves. DARPA Building Robots With ‘Real’ Brains. Human Brain Project - Home.
Can robots be creative? The Believers.