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) …
As we enter the next decade, autonomous driving and AI-powered vehicles will revolutionize the way we move. That's why transportation has become an integral part of the conversation at the GPU Technology Conference, the world's premier AI event. It's the combined effort of automakers, suppliers, startups, researchers and regulators. They'll all be gathering at GTC, running March 22-26, 2020, in San Jose, to discuss the latest advances and the roadmap for what's ahead. And we want to hear from you.
Once the update arrives, Tesla vehicles will be able to drive themselves in a city the way they can perform highway cruising now, the company said. That means interpreting stop signs and traffic lights, making sharp turns, and navigating stop-and-go urban traffic and other obstacles -- a far more difficult task than navigating long, relatively straight stretches of highways. Although Tesla's website has promised features as soon as this year including the ability to recognize and react to traffic lights and stop signs, and what it calls "Automatic driving on city streets," the suite would still require a human driver behind the wheel. As soon as next year, Tesla has said, the cars will be able to operate reliably on their own, even allowing the driver to fall asleep. This tiered approach is different from companies such as Waymo, whose sole aim is to launch autonomous vehicles that do not need a driver behind the wheel.
SELF-DRIVING cars are in a constant state of development, with numerous companies including Tesla, Audi and Volvo (as well as technology giants such as Apple and Google) pouring millions of pounds into making the autonomous car technology roadworthy. Will it see a major shift in employment and work culture? Is the driver or the manufacturer liable in the event of an accident? How will legislation and layouts be changed to make self-driving cars compatible with UK roads? Auto Express has investigated the world of driverless car technology, to bring you the answers about the cutting edge of mobility.
Artificial intelligence is infiltrating every industry, allowing vehicles to navigate without drivers, assisting doctors with medical diagnoses, and mimicking the way humans speak. But for all the authentic and exciting ways it's transforming the tasks computers can perform, there's a lot of hype, too. As Jeremy Achin, CEO of newly minted unicorn DataRobot, puts it: "Everyone knows you have to have machine learning in your story or you're not sexy." The inherently broad term gets bandied about so often that it can start to feel meaningless and gets trotted out by companies to gussy up even simple data analysis. To help cut through the noise, Forbes and data partner Meritech Capital put together a list of private, U.S.-based companies that are wielding some subset of artificial intelligence in a meaningful way and demonstrating real business potential from doing so. One makes robots that can whir around shoppers to help workers restock shelves. Another scans recruiting pitches for unconscious bias. A third analyzes massive data sets to make street-by-street weather predictions. To be included on the list, companies needed to show that techniques like machine learning (where systems learn from data to improve on tasks), natural language processing (which enables programs to "understand" written or spoken language), or computer vision (which relates to how machines "see") are a core part of their business model and future success. Find all the details on our methodology here.
As Baidu accelerates its capabilities in self-driving vehicle technology, we dive into the Chinese tech giant's uniquely collaborative approach. Baidu has become the "dark horse" in the autonomous vehicle arms race. In an effort to play catch up to frontrunners in the US and gain an edge on emerging players in China, Baidu has taken a novel approach to developing self-driving software. From autonomy to telematics to ride sharing, the auto industry has never been at more risk. Get the free 67-page report PDF. The company's Apollo project, which it launched in April 2017, is an open source software platform that's designed to encourage collaboration across the auto industry to accelerate the development of self-driving cars.
To provide you with actionable innovation intelligence and to showcase the Top 5 Artificial Intelligence Startups, we carried out extensive research and analyzed 500 startups. Let's take a look at the results: Below, you'll see a visual representation of the global distribution of the 500 automotive Artificial Intelligence startups we screened for this short-read. Automotive companies are hard at work to make level 5 autonomy a reality. One of them is Argo AI, a Pennsylvania-based company deploying the latest advancements in artificial intelligence, machine learning, and computer vision to build reliable self-driving system. Their systems are currently being tested around cities in the US.
Daimler Trucks and technology firm Torc Robotics have started to test autonomous trucks on public roads in the U.S. The routes are located on highways in southwest Virginia where Torc -- which is part of Daimler Trucks following a majority stake acquisition -- is based. In an announcement Monday, Daimler Trucks said that all of the "automated runs" would need an engineer to oversee the system as well as a safety driver. It added that all safety drivers held a commercial driver's license and had special training in vehicle dynamics and automated systems. The firm said that "months of extensive testing and safety validation" had already been conducted on a closed loop track. "Bringing Level 4 trucks to the public roads is a major step toward our goal to deliver reliable and safe trucks for the benefits of our customers, our economies and society," Martin Daum, a member of the board of management at Daimler with responsibility for trucks and buses, said in a statement.
ADAS (Advanced Driving Assistance Systems) and AD (Autonomous Driving) systems are the next big frontier for automotive companies. The challenge lays in finding the right balance between minimizing the number of accidents and casualties while maximizing the comfort of traveling in complex conditions. ADAS/AD functions combine a number of components, including sensors (hardware and software processing), the algorithm fusing the data coming from multiple sensors, the algorithm deciding to act upon those inputs (braking, steering, accelerating), and finally, the actuators that will be implementing the decision. ADAS/AD functions are also divided into a number of "levels", each dictating who is responsible for the action, the car or the driver. From level-0 to level-2, the systems are the "eyes-on and hands-on" type, meaning that the function is there to support the driver in supplying more information or automating some parts of the driving.
Pick any image or video and detect objects and background automatically - and not only for background removal, but for various other cool effects too. The app is based on semantic image segmentation, which is the concept of finding objects and boundaries in images. Google Research DeepLab is a state-of-art deep learning neural network for the semantic image segmentation - and now with AI Green Screen this awesome technology is available as an easy app for everyday use. Simply let AI detect the image objects and pick the effect to apply.
Stuttgart, Germany, and Yokohama, Japan – Automated driving technology is gradually providing more and more assistance to the driver – with the future aim of the car being able to take complete control. But there is more to it than that: "We want to make cars better drivers than people, and in this way to increase road safety. In other words, technology has to work more reliably than people," says the Bosch management board member Harald Kröger. That presents a major challenge, particularly in terms of surround sensing. The sensing system needs to provide the data and information of what is going on around the vehicle to enable the automated vehicle to choose the appropriate driving decision under the circumstances from a safety standpoint.