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Using Artificial Intelligence to fix healthcare

Surgery filmed in 360° and live-streamed to remote doctors could already be happening in a hospital near you.

The healthcare industry should be using Artificial Intelligence (AI) to a far greater degree than at present, but progress has been painfully slow. The same factors that make the healthcare system so attractive to AI developers – fragmented or non-existent data repositories, outdated computer systems and doctor shortages – are the same things that have stopped AI from providing the gains that should be created.

The healthcare sector also presents unique obstacles for AI: data must flow freely through AI systems to achieve real results, but extracting data from handwritten patient files or PDFs is cumbersome for us, and difficult for AI. Despite technical and operational challenges, new research suggests that the arrival of the tech giants into the industry may provide the data and the capital required to digitize this fairly untapped market.

AI Robot CIMON Debuts at International Space Station

The space station robot CIMON has exchanged its first words with its spacefaring crew.

German astronaut Alexander Gerst talked with the artificially intelligent crew-assistant CIMON during a 90-minute experiment on Nov. 15 aboard the International Space Station (ISS).

According to a statement from the manufacturer, Airbus, Gerst, the commander of the current space station crew, woke up CIMON (the Crew Interactive Mobile CompanioN) with the words “Wake up, CIMON.” In response, CIMON said, “What can I do for you?” [This Flying Space Droid Wants to Make Friends with Astronauts].

Machine learning, meet quantum computing

Back in 1958, in the earliest days of the computing revolution, the US Office of Naval Research organized a press conference to unveil a device invented by a psychologist named Frank Rosenblatt at the Cornell Aeronautical Laboratory. Rosenblatt called his device a perceptron, and the New York Times reported that it was “the embryo of an electronic computer that [the Navy] expects will be able to walk, talk, see, write, reproduce itself, and be conscious of its existence.”

The man who built ‘Star Wars’ droid BB-8 has created a giant rideable robot spider — here it is in action

Animatronics engineer Matt Denton has worked on some pretty mindblowing projects. He’s built special effects robots for “Star Wars,” “Harry Potter,” and “Jurassic World.”

But his latest project may just be his most ambitious yet. Denton has created a huge, six-legged driveable robot that has been compared to a spider. And it’s won him a Guinness World Record.

Denton was interested in robotics from an early age, “I was mad for technical Lego,” he told Business Insider. In fact, he still likes to build machines with Lego, as is attested by his YouTube channel.

Elon Musk announces Tesla software update with new rain sensing neural net and Easter eggs

Tesla CEO Elon Musk announced that the automaker is soon going to release new software updates with an upgraded rain-sensing neural net and several Easter Eggs.

With the Autopilot 2.0 system, Tesla decided not to go with a normal rain sensor to activate its automatic windshield wiper system and instead relies on a neural net system to detect rain with its camera.

They started releasing a beta version earlier this year.

Little Sophia: A New Robot Citizen Has Entered Our World

Recently, I came across a video featuring Jimmy Fallon interacting with the world’s first robot citizen, Sophia, and a new edition to the robot world, her little sister, Little Sophia. If you have not come across Sophia and Hanson Robotics then check out Zara‘s article to find out more. In short, Sophia is a human-like robot created by Hanson Robotics, an artificial intelligence company located in Hong Kong.

This is when AI’s top researchers think artificial general intelligence will be achieved

In a new book published this week titled Architects of Intelligence, writer and futurist Martin Ford interviewed 23 of the most prominent men and women who are working in AI today, including DeepMind CEO Demis Hassabis, Google AI Chief Jeff Dean, and Stanford AI director Fei-Fei Li. In an informal survey, Ford asked each of them to guess by which year there will be at least a 50 percent chance of AGI being built.


Short answer: maybe within our lifetimes, but don’t hold out.