Police cars might soon be able to track your face.
Category: robotics/AI – Page 2,370

The Fourth Industrial Revolution is Here!
So much talk about AI and robots taking our jobs. Well, guess what, it’s already happening and the rate of change will only increase. I estimate that about 5% of jobs have been automated — both blue collar manufacturing jobs, as well as, this time, low-level white collar jobs — think back office, paralegals, etc. There’s a thing called RPA, or Robot Process Automation, which is hollowing out back office jobs at an alarming rate, using rules based algorithms and expert systems. This will rapidly change with the introduction of deep learning algorithms into these “robot automation” systems, making them intelligent, capable of making intuitive decisions and therefore replacing more highly skilled and creative jobs. So if we’re on an exponential curve, and we’ve managed to automate around 5% of jobs in the past six years, say, and the doubling is every two years, that means by 2030, almost all jobs will be automated. Remember, the exponential math means 1, 2, 4, 8, 16, 32, 64, 100%, with the doubling every two years.
We are definitely going to need a basic income to prevent people (doctors, lawyers, drivers, teachers, scientists, manufacturers, craftsmen) from going homeless once their jobs are automated away. This will need to be worked out at the government level — the sooner the better, because exponentials have a habit of creeping up on people and then surprising society with the intensity and rapidity of the disruptive change they bring. I’m confident that humanity can and will rise to the challenges ahead, and it is well to remember that economics is driven by technology, not the other way around. Education, as usual, is definitely the key to meeting these challenges head on and in a fully informed way. My only concern is when governments will actually start taking this situation seriously enough to start taking bold action. There certainly is no time like the present.


Google Duplex: An AI System for Accomplishing Real World Tasks Over the Phone
Take a listen to the recordings. That’s an AI doing that.
A long-standing goal of human-computer interaction has been to enable people to have a natural conversation with computers, as they would with each other. In recent years, we have witnessed a revolution in the ability of computers to understand and to generate natural speech, especially with the application of deep neural networks (e.g., Google voice search, WaveNet). Still, even with today’s state of the art systems, it is often frustrating having to talk to stilted computerized voices that don’t understand natural language. In particular, automated phone systems are still struggling to recognize simple words and commands. They don’t engage in a conversation flow and force the caller to adjust to the system instead of the system adjusting to the caller.
Today we announce Google Duplex, a new technology for conducting natural conversations to carry out “real world” tasks over the phone. The technology is directed towards completing specific tasks, such as scheduling certain types of appointments. For such tasks, the system makes the conversational experience as natural as possible, allowing people to speak normally, like they would to another person, without having to adapt to a machine.
One of the key research insights was to constrain Duplex to closed domains, which are narrow enough to explore extensively. Duplex can only carry out natural conversations after being deeply trained in such domains. It cannot carry out general conversations.


Decoding the Brain’s Learning Machine
Summary: A new study sheds light on how the cerebellum is able to make predictions and learn from mistakes, especially when it comes to completing complex motor actions. The findings could help in the development of new machine learning technologies.
Source: Johns Hopkins Medicine.
In studies with monkeys, Johns Hopkins researchers report that they have uncovered significant new details about how the cerebellum — the “learning machine” of the mammalian brain — makes predictions and learns from its mistakes, helping us execute complex motor actions such as accurately shooting a basketball into a net or focusing your eyes on an object across the room.

Drive.ai Launches a Self-Driving Car Service in Frisco, Texas
Silicon Valley’s Drive.ai is starting a pilot program to ferry office workers around a small area of Frisco, with vehicles that can “chat” with passers-by.

The Road to Killer AI: ML + Blockchain + IOT + Drones == Skynet?
Lately, there has been a lot of concern about the recent explosion of AI, and how it could reach the point of 1) being more intelligent than humans, and 2) that it could decide that it no longer needs us and could in fact, take over the Earth.
Physicist Stephen Hawking famously told the BBC: “The development of full artificial intelligence could spell the end of the human race.” Billionaire Elon Musk has said that he thinks AI is the “biggest existential threat” to the human race.
Computers running the latest AI have already beaten humans at games ranging from Chess to Go to esports games (which is interesting, because this is a case where AI could be better than humans at playing games which were built as software from the ground up, unlike Chess and Go, which were developer before the computer age).
This concrete-smoothing robot is laser-guided
This machine can smooth 10,000 square feet of concrete — the equivalent of a New York City block — in an hour.
