Elon Musk, a man not known for thinking small, has taken to the stage at an energy conference to announce his goals for the rest of the year. The Tesla chief said that he hopes his company's self-driving cars will be'in wide release' in the US and Europe by the end of 2022. Speaking at Offshore Northern Seas 2022 in Norway yesterday, he claimed that the launch of the autonomous electric vehicles depends on regulatory approval. The billionaire also said that he was focusing on the SpaceX Starship spacecraft, that had an orbital flight scheduled for this summer that has now been delayed. SpaceX was granted a license for this flight by the U.S. Federal Communications Commission earlier this month, and is now targeting a six-month window that opens on September 1. Musk told the audience: 'The two technologies I am focused on, trying to ideally get done before the end of the year, are getting our Starship into orbit ... and then having Tesla cars to be able to do self-driving.

Even if artificial general intelligence (AGI) could be achieved, a problem looms: The more complex a system is, the more can go wrong. If a computer could really match human thinking, a great deal could go wrong. In "When AI goes wrong" (podcast 160), Walter Bradley Center director Robert J. Marks is joined once again by members of his research group, Justin Bui and Samuel Haug, who is a PhD student in computer and electrical engineering. The topic is, what happens if AI starts behaving in bizarre and unpredictable ways? A partial transcript and notes, Show Notes, and Additional Resources follow. I want to start out with Paul Harvey's The Rest of the Story. Either Sam or Justin, have you ever heard of Paul Harvey? Justin Bui: I have not. Sam Haug: No, I have not.

Tesla is leading the electric vehicle race by relying on big data, artificial intelligence and the internet of things to outsmart its competitors. It also manufactures and sells advanced battery, software and solar panel technology. The company is also investing big to become the number one self driving company in the world. However it's important to state that a fully autonomous vehicle won't happen anytime soon. Self-driving cars rely on advanced artificial intelligence, machine learning and deep learning technology.

The history of self-driving cars goes back much further than most people think. As early as the mid-1900s, the first proposals for driverless transportation were developed, but given the state of technology at the time, the only realistic way to achieve it were to heavily constrain the problem. Specially built tracks, magnets installed under roads to guide vehicles, and other custom infrastructure were required, even in theory. But as time went on and technology improved, constraints could be relaxed: by the 1990s, rudimentary computer vision algorithms allowed self-driving cars to perform reasonably well on the highway. But these more modern techniques required that the automated vehicle be filled with server racks, and weren't adaptable enough for city driving.

Tesla has quietly acquired an artificial intelligence company to build out its Autopilot autonomous driving system. Tesla this week closed the acquisition of DeepScale, a company that uses sophisticated "deep neural networks" and other aspects of artificial intelligence to help a vehicle's in-car autonomous driving technology more effectively "see" what's around it. The news was first reported by CNBC, who cited sources claiming Tesla had acquired DeepScale. Tesla did not respond to Fortune's request for comment, and has so far remained quiet on the acquisition's details, but DeepScale CEO Forrest Iandola updated his LinkedIn account on Tuesday, saying that he has joined Tesla's Autopilot team to work on deep learning and autonomous driving. Tesla makes small acquisitions from time to time, but DeepScale appears to be its most significant acquisition since February, when the company announced that it would acquire Maxwell Technologies to improve its battery technology.

There's a lot of hand-wringing these days about letting your children be solo passengers in ridesharing cars run by the conventional ridesharing services. Some parents say that they would never let their young offspring be alone, i.e., without a trusted adult passenger, when going in a ridesharing vehicle, and are horrified that other parents even consider this rather untoward notion to be conceivable. Meanwhile, some parents indicate that when pressed for time and having no other viable choice, they hesitantly and reluctantly let their kids use a ridesharing service. For those that use a ride-sharing service as a last resort to get their son or daughter to baseball practice after school or get to a piano recital, such parents try to protect themselves and their children as much as possible. They get the child to take a picture of the driver and depending upon the ridesharing service can track via a mobile app the progress of the vehicle during its journey, along with sometimes having the child activate their FaceTime app on their own smartphone and try to let the parent enjoin virtually for the ride.