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Facebook's Mark Zuckerberg savaged by politicians from around the world for avoiding them

The Independent - Tech

Facebook has been savaged by politicians from across the globe after boss Mark Zuckerberg once again refused to answer questions. The company was accused of undermining democratic institutions and failing to take responsibility for the damage it had done to the world. But the hearing was marked by the fact that Mr Zuckerberg had not arrived, despite a request that came from a coalition of lawmakers from around the world. Uber has halted testing of driverless vehicles after a woman was killed by one of their cars in Tempe, Arizona. The I.F.O. is fuelled by eight electric engines, which is able to push the flying object to an estimated top speed of about 120mph The giant human-like robot bears a striking resemblance to the military robots starring in the movie'Avatar' and is claimed as a world first by its creators from a South Korean robotic company Waseda University's saxophonist robot WAS-5, developed by professor Atsuo Takanishi and Kaptain Rock playing one string light saber guitar perform jam session A man looks at an exhibit entitled'Mimus' a giant industrial robot which has been reprogrammed to interact with humans during a photocall at the new Design Museum in South Kensington, London Electrification Guru Dr. Wolfgang Ziebart talks about the electric Jaguar I-PACE concept SUV before it was unveiled before the Los Angeles Auto Show in Los Angeles, California, U.S The Jaguar I-PACE Concept car is the start of a new era for Jaguar.


Uber hires a NASA expert to help develop flying cars

USATODAY - Tech Top Stories

Former NASA engineer Mark Moore will now be working on Uber's flying car project, Uber Elevate. SAN FRANCISCO -- George Jetson, your ride is on its way. Uber has just hired a NASA expert to build out its vision for flying cars Monday. Mark Moore, a 30-year veteran of the space agency with expertise in using electric motors to get a vehicle airborne, will help the ride-hailing giant execute on an expansive white paper it released last fall on developing VTOL (vertical take-off and landing) vehicles. "Uber continues to see its role as a catalyst to the growing developing VTOL ecosystem," Nikhil Goel, Uber's head of product for advanced programs, said in a statement.


The 2018 Survey: AI and the Future of Humans

#artificialintelligence

"Please think forward to the year 2030. Analysts expect that people will become even more dependent on networked artificial intelligence (AI) in complex digital systems. Some say we will continue on the historic arc of augmenting our lives with mostly positive results as we widely implement these networked tools. Some say our increasing dependence on these AI and related systems is likely to lead to widespread difficulties. Our question: By 2030, do you think it is most likely that advancing AI and related technology systems will enhance human capacities and empower them? That is, most of the time, will most people be better off than they are today? Or is it most likely that advancing AI and related technology systems will lessen human autonomy and agency to such an extent that most people will not be better off than the way things are today? Please explain why you chose the answer you did and sketch out a vision of how the human-machine/AI collaboration will function in 2030.


Nvidia CEO: "Software is eating the world, but AI is going to eat software"

#artificialintelligence

Tech companies and investors have recently been piling money into artificial intelligence--and plenty has been trickling down to chip maker Nvidia. The company's revenues have climbed as it has started making hardware customized for machine-learning algorithms and use cases such as autonomous cars. At the company's annual developer conference in San Jose, California, this week, the company's CEO Jensen Huang spoke to MIT Technology Review about how the machine-learning revolution is just starting. Nvidia has benefitted from a rapid explosion of investment in machine learning from tech companies. Can this rapid growth in the use cases for machine learning continue?