Using machine learning, computers have come up with codes that let them send secret messages to each other – but they’re still a long way off humans

Source: Google’s neural networks invent their own encryption | New Scientist

While machine learning is introducing innovation and change to many sectors, it also is bringing trouble and worries to others. One of the most worrying aspects of emerging machine learning…

Source: The darker side of machine learning | TechCrunch

And unlike Tesla’s Autopilot, Otto’s system offers true ‘Level 4’ autonomy. Once the rig hits the interstate, it is entirely capable of the job at hand, letting the human deal with paperwork, thumb her phone, or even catch a few Z’s.

“The technology is ready to start doing these commercial pilots,” says Otto co-founder Lior Ron. “Over the next couple of years, we’ll continue to develop the tech, so it’s actually ready to encounter every condition on the road.”

Uber-owned startup Otto just sent an autonomous truck on a two-hour, 120-mile journey.

Source: Uber’s Self-Driving Truck Makes Its First Delivery: 50,000 Budweisers

Self-driving vehicles will play a crucial role in improving transportation safety and accelerating the world’s transition to a sustainable future. Full autonomy will enable a Tesla to be substantially safer than a human driver, lower the financial cost of transportation for those who own a car and provide low-cost on-demand mobility for those who do not.
https://www.tesla.com/blog/all-tesla-cars-being-produced-now-have-full-self-driving-hardware/?utm_campaign=GL_Blog_101916&utm_source=Twitter&utm_medium=social

Lurking in the kernel for nine years, flaw gives untrusted users unfettered root access.

Source: “Most serious” Linux privilege-escalation bug ever is under active exploit | Ars Technica

BMW, VW, and Mercedes promise they’re serious about electric cars, but are moving slowly.

Source: The German Auto Industry Is Finally (Maybe) Done With Gas | WIRED