Transportation


7th International DOG-Symposium on AMD

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The recent revolution in genetic and molecular biological studies as well as imaging and artificial intelligence has contributed significantly to our understanding of AMD. However, many open questions are still to be addressed. We are approaching an era of new targets for therapy based on better differentiation, refined phenotyping and predictive markers of age-related macular disease. Four years after the last international Baden-Baden AMD meeting it appears timely to review emerging concepts. We look forward to welcoming you in Baden-Baden.


Everyday Examples of Artificial Intelligence and Machine Learning Emerj

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With all the excitement and hype about AI that's "just around the corner"--self-driving cars, instant machine translation, etc.--it can be difficult to see how AI is affecting the lives of regular people from moment to moment. What are examples of artificial intelligence that you're already using--right now? In the process of navigating to these words on your screen, you almost certainly used AI. You've also likely used AI on your way to work, communicating online with friends, searching on the web, and making online purchases. We distinguish between AI and machine learning (ML) throughout this article when appropriate. At Emerj, we've developed concrete definitions of both artificial intelligence and machine learning based on a panel of expert feedback. To simplify the discussion, think of AI as the broader goal of autonomous machine intelligence, and machine learning as the specific scientific methods currently in vogue for building AI.


A.I. 101: What is artificial intelligence and where is it going?

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The phrase "artificial intelligence" in pop culture often conjures up dystopian images such as the sentient computer Hal 9000 from the 1968 film "2001: A Space Odyssey" that killed people for its self preservation; or the cyborg assassin with a metal endoskeleton in director James Cameron's "The Terminator." In recent years, our fascination with the potential of AI has taken a more starry-eyed turn, as shown in the 2013 sci-fi drama "Her," where the main character falls in love with a virtual assistant. In reality, artificial intelligence (AI) technology is quickly permeating every aspect of our lives. From Amazon's voice-activated Alexa to writing technology that helps managers craft job postings, AI is in our hearts, homes and workplaces. And it's only going to become a bigger part of our lives: Experts call the rise of AI the driving force behind the fourth industrial revolution.


Artificial intelligence in travel and transportation - THRIVE

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Moving people and cargo around the globe, safely and on time, is a logistical challenge that draws on vast amounts of data. This data is a powerful but under-leveraged resource that can be put to greater use with artificial intelligence (AI). Think more efficient fleets, better route and capacity planning, and smoother passenger bookings and deliveries when faced with potential service disruptions. You may have heard the terms analytics, advanced analytics, machine learning and AI. AI is often built from machine-learning algorithms, which owe their effectiveness to training data.


Jump Start the Next Decade of Transportation at GTC 2020 NVIDIA Blog

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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.


Tesla promises full self-driving cars by year end, but regulators are wary.

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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.


Marcus Borba on Twitter

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Hype! Just like the @elonmusk's or Google's self-driving cars that have refused to come off the shelf. Those are controlled lab experiment. Would be a huge challenge scaling to production.


AI Will Replace Jobs. Or Will It? Thoughts On The Coming AI Revolution

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According to an article that appeared in Fortune earlier this year: Automation could replace 40% of jobs in 15 years. This article joins countless others in sounding the warning bells of the forthcoming AI-style industrial revolution. As we've heard so often, AI will replace jobs by the thousands. Almost overnight, half the country will be out of work. Admittedly, it would be impossible to tackle this issue from every angle. However, we can offer our sense of where this industry is, what the effects might be, and where we might be headed within 15 years.


Global Big Data Conference

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As a young child, I used to imagine what life would be like if I had a chauffeur to drive me wherever and whenever I wanted. Of course, this was a luxury afforded by only the wealthy and remained well out of reach for most people -- myself included. Fast forward to today, and the rise of the ride-sharing economy has essentially leveled the playing field, giving everyone affordable access to on-demand transportation. Access to artificial intelligence (AI) is poised to undergo a similar shift. Traditionally, large corporations and government entities have been ahead of the adoption curve because they've had the capital to invest in and the talent to leverage the technology.


Global Big Data Conference

#artificialintelligence

As a young child, I used to imagine what life would be like if I had a chauffeur to drive me wherever and whenever I wanted. Of course, this was a luxury afforded by only the wealthy and remained well out of reach for most people -- myself included. Fast forward to today, and the rise of the ride-sharing economy has essentially leveled the playing field, giving everyone affordable access to on-demand transportation. Access to artificial intelligence (AI) is poised to undergo a similar shift. Traditionally, large corporations and government entities have been ahead of the adoption curve because they've had the capital to invest in and the talent to leverage the technology.