It was reported that Venture Capital investments into AI related startups made a significant increase in 2018, jumping by 72% compared to 2017, with 466 startups funded from 533 in 2017. PWC moneytree report stated that that seed-stage deal activity in the US among AI-related companies rose to 28% in the fourth-quarter of 2018, compared to 24% in the three months prior, while expansion-stage deal activity jumped to 32%, from 23%. There will be an increasing international rivalry over the global leadership of AI. President Putin of Russia was quoted as saying that "the nation that leads in AI will be the ruler of the world". Billionaire Mark Cuban was reported in CNBC as stating that "the world's first trillionaire would be an AI entrepreneur".
The technology behind Autonomous vehicles can surprise you. These vehicles are characterized by not having to deal with human limitations, such as tiredness and inattention. To the delight of many, these machines can park alone, and they do not drive drunk or speak on the phone while driving, like many humans that we know. It is known that human failures cause 94% of traffic accidents, and this innovation is mainly developed to save lives, reducing consistently the fatalities. According to a study from 2015 by the National Highway Traffic Safety Administration (NHTSA), traffic accidents are the most significant cause of death of young people between 15 and 29 years globally, overcoming the victims of AIDS, flu, and dengue together, according to the World Health Organization (WHO).
Next year, a squad of souped-up Dallara race cars will reach speeds of up to 200 miles per hour as they zoom around the legendary Indianapolis Motor Speedway to discover whether a computer could be the next Mario Andretti. The planned Indy Autonomous Challenge--taking place in October 2021 in Indianapolis--is intended for 31 university computer science and engineering teams to push the limits of current self-driving car technology. There will be no human racers sitting inside the cramped cockpits of the Dallara IL-15 race cars. Instead, onboard computer systems will take their place, outfitted with deep-learning software enabling the vehicles to drive themselves. In order to win, a team's autonomous car must be able to complete 20 laps--which equates to a little less than 50 miles in distance--and cross the finish line first in 25 minutes or less.
As we've learned (or apparently not) time and time again, AI and machine learning technology have a racism problem. From soap dispensers that don't register dark-skinned hands to self-driving cars that are 5 percent more likely to run you over if you are black because they don't recognize darker skin tones, there are numerous examples of algorithms that don't function as they should because they weren't tested enough with non-white people in mind. Over the weekend, one such algorithm with apparent bias drew attention after cryptographer and infrastructure engineer Tony Arcieri tried a simple experiment on Twitter. Arcieri took two photos: One of Barack Obama and one of Mitch McConnell. He then arranged them as below.
Baidu's autonomous vehicle platform, Apollo, gets an upgrade. The Chinese IT firm, which started out ... [ ] as a Google imitator, is now going toe-to-toe with Google subsidiary Waymo, as well as Samsung and Intel. Baidu wants to one up Google on its AI powered car platform called Apollo. They might pull just pull it off. In any event, they at least have to be considered in the same league.
Mischief can happen when AI is let loose in the world, just like any technology. The examples of AI gone wrong are numerous, the most vivid in recent memory being the disastrously bad performance of Amazon's facial recognition technology, Rekognition, which had a propensity to erroneously match members of some ethnic groups with criminal mugshots to a disproportionate extent. Given the risk, how can society know if a technology has been adequately refined to a level where it is safe to deploy? "This is a really good question, and one we are actively working on, "Sergey Levine, assistant professor with the University of California at Berkeley's department of electrical engineering and computer science, told ZDNet by email this week. Levine and colleagues have been working on an approach to machine learning where the decisions of a software program are subjected to a critique by another algorithm within the same program that acts adversarially.
Amazon-owned Zoox today announced that it received a driverless testing permit from the California Department of Motor Vehicles (DMV). With it, Zoox becomes the fourth company to hit that milestone after Waymo, Nuro, and AutoX. The new permit will enable Zoox to test "at least two" autonomous vehicles on streets without a driver behind the wheel within a designated part of Foster City. The vehicles are approved to operate in fair weather conditions, including light rain and fog, on streets with a speed limit of no more than 45 miles per hour. Zoox was founded in 2014 by Australian artist-designer Tim Kentley Klay and Jesse Levinson, son of Apple chair Arthur D. Levinson, who was developing self-driving technology at Stanford.
Fox News Flash top headlines are here. Check out what's clicking on Foxnews.com. A Michigan man was arrested Wednesday night after apparently jumping a Detroit drawbridge in "Dukes of Hazzard" fashion, according to multiple reports. The Allen Park driver, 26, was behind the wheel of a Dodge sedan when he accelerated and attempted to cross the Fort Street bascule bridge around 7 p.m. on Wednesday -- as it was rising. "I looked, I said, 'No he ain't,'" drawbridge operator Andre Locke told Detroit's WDIV-TV.
Artificial Intelligence (AI) helps the vehicle to take decision in complex environment. AI is utilized in automobiles industry for smart mobility. At present, automotive industry has employed advanced driver assistance system (ADAS) and with increase amount of embedded intelligent the industry is progressing towards semi-autonomous vehicle. AI enables real-time recognition of surroundings and automates the vehicle mobility, controls in-vehicle systems, and eventually prevents accident. The various applications of AI in automobile sector is road tracking, capturing driver's gesture and expression, passenger experience, fleet management, weather monitoring, predictive maintenance, location search, E-payment and in-vehicle system control.
Mercedes-Benz USA announced a transformational collaboration with Microsoft that redefines automotive maintenance and the way service technicians work, leading to an enhanced customer experience and greater efficiencies in communication and employee safety. As the first mixed reality automotive maintenance system, Mercedes-Benz Virtual Remote Support, powered by HoloLens 2 and Dynamics 365 Remote Assist, allows onsite dealership technicians to work handsfree sharing real-time views and sounds of the vehicle while talking with Mercedes-Benz technical specialists. The remote MB specialists can provide valuable insight and technological guidance to help complete complex maintenance issues in record time, without ever leaving their office. "This is a massive shift in the way we do business – helping us to serve our customers more quickly – and is especially timely with the new realities of COVID-19 and our desire to keep employees safe," said Christian Treiber, Vice President of Customer Services at MBUSA. "Today's vehicles feature more than 100 million lines of software code. Through our partnership with Microsoft, we have a new paradigm for technology support and communication that helps our dealers and technicians master the complexity of these vehicles while eliminating travel time and onsite visits. "I'm thrilled by the transformation made possible by our partnership with Mercedes-Benz USA.