If you are looking for an answer to the question What is Artificial Intelligence? and you only have a minute, then here's the definition the Association for the Advancement of Artificial Intelligence offers on its home page: "the scientific understanding of the mechanisms underlying thought and intelligent behavior and their embodiment in machines."
However, if you are fortunate enough to have more than a minute, then please get ready to embark upon an exciting journey exploring AI (but beware, it could last a lifetime) …
A proposed safety standard for self-driving cars, based on the road etiquette of humans. In 1909, when horseless carriages were all the rage, a magazine called Country Life in America advised new drivers on "the ethics of good roadmanship." Motorists, it urged, should go slow to avoid spooking the animals pulling other vehicles. Today we face a similar anxious transition with the advent of driverless carriages, and that quaint term, roadmanship, is back in circulation. A new Rand Corporation report, commissioned by Uber, revives the notion as a basis for long- overdue safety standards in autonomous vehicles.
UAE-based automotive company W Motors' has announced the unveiling of MUSE at Auto Shanghai 2019 on April 16. The fully-electric MUSE features a Level 4 / Level 5 autonomous driving system, innovative user interfaces and cloud-computed connectivity, as well as several interior configurations catering to different business needs and consumer requirements. It will be fully produced in Dubai, UAE by W Motors at the all-new production facility of which the first phase is set to be completed in the last quarter of 2019. Pioneers of the future of driving, W Motors is the first and only automotive developer in the Middle East - in partnership with sister company ICONIQ Motors - to release a self-driving vehicle, designed to be on the road for EXPO 2020 in Dubai. MUSE was developed by W Motors and ICONIQ Motors in collaboration with international partners AKKA Technologies, Magna Steyr and Microsoft USA, each offering highly specialized and cutting-edge technologies in the realm of advanced autonomous driving solutions.
The self-driving car world is a secretive one, where software, hardware, and testing methods are jealously guarded (and occasionally spark a major lawsuit). But this week, we got a glimpse into what these developers have actually been up to, thanks first to a newly released batch of "disengagement" reports every autonomous vehicle outfit testing in California provides to the state at the end of each year. The disengagement data isn't too helpful, but the reports do reveal a serious spike in would-be AV testing, among other tidbits. More intel comes from SoftBank's latest move in this space, a nearly $1 billion investment in AV startup Nuro. In non-robo news, we get a tour of all the tools and tricks that keep Nascar races racy, and bid adieu to the 380, Airbus' freakishly large passenger jet.
John McCarthy first coined the term "Artificial Intelligence" (AI) in 1956 at the Dartmouth Conference along with four other founding colleagues – Marvin Minsky, Oliver Selfridge, Ray Solomonoff, and Trenchard More. The original definition and concept of AI according to John McCarthy is "Every aspect of learning or any other feature of intelligence can in principle be so preciously described that a machine can be made to simulate it. An attempt will be made to find how to make machines and concepts, solve kinds of problems now reserved for humans, and improve themselves." What it simply means is that AI is a term for "simulated intelligence" in machines. The machines are programmed to mimic the cognitive functions of the human brain.
Most self-driving car testing takes place in places like California, Arizona, and Nevada, and there's a reason for that. The sensors these cars rely on to navigate are less reliable in poor weather and other low-visibility conditions. But MIT claims to be developing new tech that could help with that. MIT's experimental sensor reads radiation at sub-terahertz wavelengths, which are between microwave and infrared radiation on the electromagnetic spectrum. That means they can be detected through fog and dust, according to MIT.
The past year has been rich in events, discoveries and developments in AI. It is hard to sort through the noise to see if the signal is there and, if it is, what is the signal saying. This post attempts to get you exactly that: I'll try to extract some of the patterns in the AI landscape over the past year. And, if we are lucky, we'll see how some of the trends extend into the near future. Make no mistake: this is an opinion piece. I am not trying to establish some comprehensive record of accomplishments for the year. I am merely trying to outline some of these trends. Another caveat: this review is US-centric. A lot of interesting things are happening, say, in China, but I, unfortunately, am not familiar with that exciting ecosystem.
The ever-growing field of autonomous driving constantly yields fresh research to explore, innovative technology to test, and new skills to learn. With so much ground to cover, just figuring out where to begin can be a daunting task. Developers at GTC Silicon Valley can learn the latest skills in AI at our expert-led DLI labs.NVIDIA That's why at this year's NVIDIA GPU Technology Conference in San Jose, experts will be on-site to provide industry-leading expertise on the foremost topics in self-driving vehicle development. Attendees can learn how to build AI applications for autonomous vehicles in hands-on, instructor-led training offered by the NVIDIA Deep Learning Institute (DLI). Developers can explore how to build on NVIDIA DRIVE AGX and NVIDIA DriveWorks with the guidance of a DLI certified instructor.
Apple's self-driving cars may have a long way to go before they're ready to ride. That's one of the takeaways from a new report published Wednesday by California's Department of Motor Vehicles, which includes data on all the companies testing self-driving vehicles in the state. Among the other firms included the report are Google's Waymo, Uber, General Motors and BMW. Apple's self-driving cars may have a long way to go before they're fully autonomous, as a new report from California's DMV showed it had the highest disengagement rates of any firm there. A new report from California's DMV logs the'disengagement rates' for companies testing self-driving cars in the state.
Last month more than 200 employees from the team were sent to other machine learning divisions. Then in a report this week, Apple came in dead last out of 62 companies permitted to test drive autonomous vehicles in California. The California DMV put out its annual disengagement reports Tuesday that show how often self-driving cars have to return to manual, human-controlled driving. It's measured in disengagements per 1,000 miles or miles per disengagement. Waymo, which is owned by Google parent company Alphabet, had the best rates.
Waymo likes to boast that its self-driving cars can handle tough situations, and now it has some extra data to back up its claims. The California DMV has published manufacturers' reports for autonomous vehicle disengagements (moments when a human had to intervene), and Waymo's disengagement rate fell in 2018 to 0.09 for every 1,000 driverless miles -- that's half as many instances as in 2017. To Waymo, that's evidence the cars are better at dealing with "edge cases," those once-in-a-lifetime situations that used to require human adaptability. The Alphabet-owned brand added that it now has over 10 million real-world miles to date, and more than 7 billion simulated miles. GM's Cruise Automation was comparable to Waymo's 2017 with an 0.19 disengagement rate, while the next-closest performances were from startups like Zoox (0.50), Nuro (0.97) and Pony.AI (0.98).