On 7 May, a Tesla Model S was involved in a fatal accident in Florida. At the time of the accident, the vehicle was driving itself, using its Autopilot system. The system didn't stop for a tractor-trailer attempting to turn across a divided highway, and the Tesla collided with the trailer. In a statement, Tesla Motors said this is the "first known fatality in just over 130 million miles [210 million km] where Autopilot was activated" and suggested that this ratio makes the Autopilot safer than an average vehicle. Early this year, Tesla CEO Elon Musk told reporters that the Autopilot system in the Model S was "probably better than a person right now."

Louis Columbus recently wrote in Forbes, "Machine learning's core technologies align well with the complex problems manufacturers face daily. From striving to keep supply chains operating efficiently to producing customized, built- to-order products on time, machine learning algorithms have the potential to bring greater predictive accuracy to every phase of production. Many of the algorithms being developed are iterative, designed to learn continually and seek optimized outcomes. These algorithms iterate in milliseconds, enabling manufacturers to seek optimized outcomes in minutes versus months. The ten ways machine learning is revolutionizing manufacturing include the following."

Video Friday is your weekly selection of awesome robotics videos, collected by your unibrowed Automaton bloggers. We'll also be posting a weekly calendar of upcoming robotics events for the next two months; here's what we have so far (send us your events!): Let us know if you have suggestions for next week, and enjoy today's videos. We don't usually lead Video Friday with a long talk, but Nic Radford was at Campus Party in Mexico to talk about Valkyrie and the DRC. It's a tremendous talk, with lots of candid detail and video that we've never seen before.

Pretty much every cinematic portrayal of artificial intelligence has been less than encouraging. HAL 9000 kills the crew members on the Discovery in 2001: A Space Odyssey, making us all a little bit afraid of handing the reins over to computers. Sonny kills his creator in I, Robot, increasing worldwide scepticism about the integration of humans and their smart robots. Even real life AI has given us pause. For example, when an IBM computer defeated Russian chess Grandmaster Garry Kasparov in the 1990s, it was definitely a cause for concern.

FILE - In this Sept. 15, 2015 file photo, a Tesla Model S is on display on the first press day of the Frankfurt Auto Show IAA in Frankfurt, Germany. Federal officials say the driver of a Tesla S sports car using the vehicle's "autopilot" automated driving system has been killed in a collision with a truck, the first U.S. self-driving car fatality. The National Highway Traffic Safety Administration said preliminary reports indicate the crash occurred when a tractor-trailer made a left turn in front of the Tesla at a highway intersection. NHTSA said the Tesla driver died due to injuries sustained in the crash, which took place on May 7, 2016 in Williston, Fla. (AP Photo/Michael Probst, File) The Associated Press

U.S. transportation authorities are investigating the deadly collision of a Tesla Model S car. And many reports say the fatal crash has heightened concern about self-driving cars. As NPR's Sonari Glinton points out, what Tesla's Model S has are self-driving features, autonomous elements meant to assist drivers rather than replace them. Virtually all major car and tech companies are pursuing self-driving technology as the future of transportation. But Tesla and Google are the earliest innovators, taking very different approaches.

Python Developer - Artificial Intelligence/Machine Learning/API Python Developer urgently needed by the fastest growing healthcare startup in Europe for a brand new team building an incredible new product which will be used to predict illness and risk factors for their customers. The Python Developer who join this team will be building their new predictive engine to help them analyse future risk and illness. Data will be taken form a variety of sources like wearables and test results. This will be achieved through a combination of machine learning and deep learning algorithms. There may also be some work on their Back End microservices environment so any API exposure would be a bonus.

A day after the disclosure of the first death in a crash involving a self-driving vehicle, BMW on Friday announced plans to release a fleet of fully autonomous vehicles by 2021. In a partnership with Intel and Mobileye, the German automaker said its planned iNEXT model won't require a human in the driver's seat. That marks a different course toward self-driving vehicles than Tesla, which offers a self-driving "autopilot" feature -- though drivers are supposed to stay engaged and keep their hands on the steering wheel. That system was in use during a fatal crash in Florida in May in which a Tesla Model S failed to detect a big rig in its path and apply the brakes. BMW Chief Executive Harold Krueger addressed the Tesla crash during a news conference in Munich, Germany, on Friday, saying his company is not yet ready to roll out partially or fully autonomous vehicles.

Walk into a conference room on the 16th floor of an Uber Engineering building on Market Street in San Francisco. You enter an intense discussion around a table with software and data engineers, data scientists, modeling experts, and even a product manager. How to determine a fraudulent user. Fraud prevention is one of the fastest growing areas of research and development at Uber. As our platform has grown, so has the international underworld that tries to undermine it.

Since the application of robotics is largely confined to manufacturing and AI is still in its infancy, the answer now is obviously no. One LinkedIn author recently argued that business schools should be proactive and develop a "Robot MBA" for a future of intelligent non-human workers. Silliness aside, having transformed unskilled jobs, automation is set to disrupt professional life, where MBAs can be a point of differentiation for humans. "The automation we've seen in the last 100 years mostly replaced muscle," says Urs Peyer of Insead. A study by Deloitte and Oxford University found that 35 per cent of current jobs are at high risk of computerisation, with white collar professions among those most under threat.