Lifeboat Foundation

As artificial intelligence (AI) becomes more prevalent in the domains of security and employment, what are the policy implications? What effects might AI have on cybersecurity, criminal and civil justice, and labor market patterns?

https://vl.dk/event/vl-doegnet-2018/ #transhumanism #AI

That might not be a bad thing.

V isitors to Henn-na, a restaurant outside Nagasaki, Japan, are greeted by a peculiar sight: their food being prepared by a row of humanoid robots that bear a passing resemblance to the Terminator. The “head chef,” incongruously named Andrew, specializes in okonomiyaki, a Japanese pancake. Using his two long arms, he stirs batter in a metal bowl, then pours it onto a hot grill. While he waits for the batter to cook, he talks cheerily in Japanese about how much he enjoys his job. His robot colleagues, meanwhile, fry donuts, layer soft-serve ice cream into cones, and mix drinks. One made me a gin and tonic.

H.I.S., the company that runs the restaurant, as well as a nearby hotel where robots check guests into their rooms and help with their luggage, turned to automation partly out of necessity. Japan’s population is shrinking, and its economy is booming; the unemployment rate is currently an unprecedented 2.8 percent. “Using robots makes a lot of sense in a country like Japan, where it’s hard to find employees,” CEO Hideo Sawada told me.

Continue reading “Robots Will Transform Fast Food” »

FOR millennia, man has broken rocks. Whether with pickaxe or dynamite, their own or animal muscle, in a digger or a diesel truck, thick-necked miners have been at the centre of an industry that supplies the raw materials for almost all industrial activity.

Anyone worried about the ability of artificial intelligences (AI) to mimic reality is likely to be concerned by Nvidia’s latest offering: an image translation AI that will almost certainly have you second-guessing everything you see online.

In October, Nvidia demonstrated the ability of one of their AIs to generate disturbingly realistic images of completely fake people. Now, the tech company has produced one that can generate fake videos.

Continue reading “An AI That Makes Fake Videos May Facilitate The End of ‘Reality’ as We Know It” »

At a private party on Thursday, Elon Musk spoke boldly about Tesla’s upcoming custom artificial intelligence hardware.

Google’s artificial intelligence sibling DeepMind repurposes Go-playing AI to conquer chess and shogi without aid of human knowledge.

Chinese AI-powered robot Xiaoyi took the country’s medical licensing examinations and passed, according to local reports. Xiaoyi is just one example of how much China is keen on using AI to make a number of industries more efficient.

Experts generally agree that, before we might consider artificial intelligence (AI) to be truly intelligent —that is, on a level on par with human cognition— AI agents have to pass a number of tests. And while this is still a work in progress, AIs have been busy passing other kinds of tests.

Stanford researchers have developed an algorithm that offers diagnoses based off chest X-ray images. It can diagnose up to 14 types of medical conditions and is able to diagnose pneumonia better than expert radiologists working alone.

A paper about the algorithm, called CheXNet, was published Nov. 14 on the open-access, scientific preprint website arXiv.

“Interpreting X-ray images to diagnose pathologies like pneumonia is very challenging, and we know that there’s a lot of variability in the diagnoses radiologists arrive at,” said Pranav Rajpurkar, a graduate student in the Machine Learning Group at Stanford and co-lead author of the paper. “We became interested in developing machine learning algorithms that could learn from hundreds of thousands of chest X-ray diagnoses and make accurate diagnoses.”