ground transportation


What business leaders need to know about artificial intelligence MIT Sloan

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Artificial intelligence dominates the headlines, part promise and part specter, as society grapples with how technology is changing the way we work and live. Both hype about AI's immediate potential and fear about its effects are exaggerated, according to MIT Sloan professorThomas W. Malone,director of the MIT Center for Collective Intelligence. A realistic understanding of artificial intelligence and the promise of robotics, machine learning, and natural language processing is increasingly important for businesses. The 2018 AI Index report found increased interest in the topic around the world, including substantial increases in AI research, investment in AI startups, enrollment in AI college courses, and jobs that require deep learning skills. "A lot of senior executives and business leaders today are almost desperate to understand how AI may affect their businesses," said Malone, who teaches a popular executive education course on artificial intelligence and business strategy.


Artificial Intelligence (AI) Verticals Market Enhancement, Rising Growth, Demand and Developments by 2024 : Slack, Sentient Technologies, Salesforce, DIDI – Island Daily Tribune

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MarketInsightsReports has published a report entitled Global Artificial Intelligence (AI) Verticals Market Research Report 2019 that is a detailed observation of several aspects, including the rate of growth, technological advances and various strategies implemented by the main current market players. The report is based on a collective analysis of data, which is obtained through primary and secondary research. It provides a systematic approach to the current and prospective scenario of this market. Artificial intelligence (AI) makes it possible for machines to learn from experience, adjust to new inputs and perform human-like tasks. Most AI examples that you hear about today – from chess-playing computers to self-driving cars – rely heavily on deep learning and natural language processing.


Artificial Intelligence: Computer Says YES (But Is It Right?) - Liwaiwai

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Computers that learn for themselves are with us now. As they become more common in'high-stakes' applications like robotic surgery, terrorism detection and driverless cars, researchers ask what can be done to make sure we can trust them. There would always be a first death in a driverless car and it happened in May 2016. Joshua Brown had engaged the autopilot system in his Tesla when a tractor-trailer drove across the road in front of him. It seems that neither he nor the sensors in the autopilot noticed the white-sided truck against a brightly lit sky, with tragic results.


"AI Sells, Data Delivers!"

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The world is advancing at a faster pace and new technologies are coming up to reshape the business world and society. One of these emerging technologies is Artificial Intelligence (AI). Artificial Intelligence has gained momentum in the world like other technologies such as the Internet of Things (IoT), Blockchain, 3D printing, Robotics etc. AI is leaping all around us everywhere we look, both in areas that border on science fiction, like self-driving cars to the more ordinary tasks like what show should I watch on Netflix/Amazon. AI is continuing to have an enormous influence on almost every walk of life, from businesses to civilisation. With these technologies, the business will gain the vigour needed to solve problems that humans can't possibly solve.


12 Examples of Artificial Intelligence

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While examples of artificial intelligence are numerous across business, AI is still often perceived to be a nascent, still emerging force. In fact, AI is widely deployed. It is critical to the tech platforms of many businesses, across finance and retail and healthcare and media. AI and deep learning examples are so myriad, in fact, that choosing the representative AI example below was a matter of picking among the excess. While the examples of AI below are very different from one another, they all share one common trait: the more data they are fed, the more they learn.


Imported self-driving shuttles have an edge over their U.S. rivals

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Two of Local Motors' competitors -- EasyMile and Navya -- import their vehicles from France and are able to get exemptions for R&D purposes. Local Motors is petitioning the National Highway Traffic Safety Administration, complaining that "smaller, innovative American vehicle manufacturers" like themselves are at a disadvantage, hindering competitiveness and endangering American leadership in autonomy and new technology development. "American companies creating American jobs building American cars have a higher bar to get vehicles on the road for purposes of research and testing than foreign companies importing vehicles," David Woessner, head of regulatory affairs for Local Motors, tells Axios. "The technology is moving faster than the regulatory environment can keep up with," adds Randell Iwasaki, executive director of Contra Costa Transportation Authority, which is trying to deploy both U.S. and foreign-made shuttles on public roads. Two of Local Motors' competitors -- EasyMile and Navya -- import their vehicles from France and are able to get exemptions for R&D purposes.


Verizon 5G for V2I at Mcity Autonomous Track

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Verizon is working with Mcity at the University of Michigan to advance transportation safety and shape the future of autonomous vehicles and smart cities using 5G. The Verizon 5G Ultra Wideband network is now live at the Mcity Test Facility where we are testing various 5G solutions designed to boost pedestrian safety and avoid car accidents. This includes installing 5G-connected cameras at every intersection inside the Mcity test track to help identify traffic and pedestrian patterns to prevent collisions. While connected cars have sensors that can "talk" to each other to help avoid accidents, cameras connecting to traffic light signals can help protect people walking or biking. "We've installed signal controllers at the intersections within Mcity that provide signal phase and timing data to the 5G network," said Eric Raamot, chief technology officer at Econolite.


100 Brilliant Women in AI & Ethics Conference Orbit RRI

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The one-day event will take place at Lady Margaret Hall College in Oxford. Lady Margaret Hall was the first women's college at Oxford, and is alma mater to some of the UK's greatest women scientists.It retains its progressive approach, appointing the former editor of the Guardian, Alan Rusbridger, as its Principal in 2015. In 2016 it instituted a Foundation Year for under-represented students. Oxford is easily accessible by train from most directions. The station is on the western edge of the city and from there you can take a taxi to the College (taxis are located outside the station at the front entrance).


AI in Transportation – Current and Future Business – Analytics Jobs

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The transportation url is actually starting to use Artificial Intelligence (AI) in mission critical tasks (for instance, self driving automobiles carrying passengers) in which the reliability as well as security of an AI system will be below question coming from the common public. Major issues of the transportation market as capability troubles, environmental pollution, reliability, safety, and wasted energy are actually providing ample opportunity (and potential for higher ROI) for AI innovation. For the benefit of this post,' transportation' is going to include all systems which move luggage as well as folks. We explore each of the applications and the future of their technology roadmap in more detail below. The compatibility of AI to transportation apps is actually a relatively natural match.


Deep Learning A-Z : Hands-On Artificial Neural Networks

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Artificial intelligence is growing exponentially. There is no doubt about that. Self-driving cars are clocking up millions of miles, IBM Watson is diagnosing patients better than armies of doctors and Google Deepmind's AlphaGo beat the World champion at Go – a game where intuition plays a key role. But the further AI advances, the more complex become the problems it needs to solve. And only Deep Learning can solve such complex problems and that's why it's at the heart of Artificial intelligence.