The global datasphere is expected to grow to 163 zettabytes annually by 2025, and flash memory is enabling Artificial Intelligence to manage it. http://bit.ly/2yUvZej
How fast things evolved! Photo
Posted in robotics/AI
Posted in robotics/AI
The global datasphere is expected to grow to 163 zettabytes annually by 2025, and flash memory is enabling Artificial Intelligence to manage it. http://bit.ly/2yUvZej
I dont know about his comment. But, this will probably become at least as big as the auto industry. If you had a robot that could cook, clean, take care of the yard, drive, run errands, had various entertainment features, etc… Then, every household in America will want one. It will just come down to getting the robots to the point where they can do all of that, and having the vision to do it, and initially selling it to the public.
“The Internet lets every person reach out and touch all the information in the world. But robotics lets you reach out and touch and manipulate all the stuff in the world — and so it is not just restricted to information, it is everything,” says Raibert, who spoke from the Future Investment Initiative in Riyadh, Saudi Arabia, at the end of October.
Indeed, Raibert is building that reality. Boston Dynamics, which was bought by SoftBank from Alphabet in June, builds robots that look like humans and animals.
Let me start with two brief stories about social change. The first concerns changing laws and values about relationships. Only in 1967—in the aptly named case of Loving v. Virginia—did the United States Supreme Court recognize that laws prohibiting interracial marriage violated the United States Constitution. Nineteen years before, in 1948, the Supreme Court of California decided that such restrictions were unlawful. The California Supreme Court’s decision finding a constitutional right to same-sex marriage also predated the federal decision, and reflected how, to channel William Gibson, th…
The sense of touch is often taken for granted. For someone without a limb or hand, losing that sense of touch can be devastating. While highly sophisticated prostheses with complex moving fingers and joints are available to mimic almost every hand motion, they remain frustratingly difficult and unnatural for the user. This is largely because they lack the tactile experience that guides every movement. This void in sensation results in limited use or abandonment of these very expensive artificial devices. So why not make a prosthesis that can actually feel its environment?
That is exactly what an interdisciplinary team of scientists from Florida Atlantic University and the University of Utah School of Medicine aims to do. They are developing a first-of-its-kind bioengineered robotic hand that will grow and adapt to its environment. This living robot will have its own peripheral nervous system directly linking robotic sensors and actuators. FAUs College of Engineering and Computer Science is leading the multidisciplinary team that has received a four-year, $1.3 million grant from the National Institute of Biomedical Imaging and Bioengineering of the National Institutes of Health for a project titled Virtual Neuroprosthesis: Restoring Autonomy to People Suffering from Neurotrauma.
Mindfire is dedicated to cracking the “brain code” to develop AI with human-level capabilities. The first mission will begin in the spring of next year.
As the common tropes of science fiction continue to break out into reality, from humanoid robots to self-driving cars, there’s one concept that has seemingly remained beyond our grasp: time travel.
But, jumping through time might not be impossible, after all, according to one astrophysicist.
By the rules of theoretical physics, certain conditions exist that would allow for the construction of elaborate wormholes, which could transport humans back to different eras.
Posted in education, finance, robotics/AI
They taught ATLAS Kung Fu
Really impressive, only things that need to be worked on. Shrink the Torso A Lot, so it’s comparable to a person. And, someone is going to have finance coming up with a set of robotic human like hands.
What have you been up to lately, Atlas?
The U.S. intelligence community is upping its early-stage investments in machine-learning companies — but Beijing is pouring in far more.
A trio of new investments in Silicon Valley machine-learning startups shows that the U.S. intelligence community is deeply interested in artificial intelligence. But China is investing even more in these kinds of U.S. companies, and that has experts and intelligence officials worried.
Founded to foster new technology for spies, the 17-year-old In-Q-Tel has also helped boost commercial products. (Its investment in a little company called Keyhole helped produce Google Maps.) Compared to a venture capitalist firm whose early-stage investments are intended to make some money and get out, the nonprofit’s angle is longer term, less venture, more strategic, according to Charlie Greenbacker, In-Q-Tel’s technical product leader in artificial intelligence, machine learning, natural language processing, analytics, and data science.