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) …
Automakers are moving at a frenzied pace to add more and more intelligence to their vehicles. However, as cars get smarter and smarter consumers struggle to understand the latest innovations. To help eliminate some of the confusion, the Society of Automotive Engineers (SAE) International has developed a scale to describe the six different levels of automation for self-driving cars. These are the cars we all know and love. The driver actually steps on the gas to go faster, steps on the brake to slow down and uses the steering wheel to turn.
WASHINGTON (WISH) - Ohio lawmakers want to boost automated vehicle testing in the state. A bipartisan group of lawmakers is asking the U.S. Transportation secretary to reverse an Obama-era policy that keeps the Transportation Research Center in Ohio from getting federal money to test self-driving cars. Ohio lawmakers say the center is the perfect place to test self-driving cars. They say it's the largest and most sophisticated independent vehicle testing ground in North America. U.S. Rep. Steve Stivers, a Republican from Ohio, said, "They can test in different road conditions, different weather conditions, wind conditions.
Light cofounder and CEO Dave Grannan raised $121 million for his imaging platform on the promise of its value to robotics, drones, and, especially, self-driving vehicles.Courtesy of Light In February, Dave Grannan, cofounder and CEO of imaging startup Light, flew to Tokyo to meet SoftBank's Masayoshi Son for the first time since beginning conversations with the Japanese billionaire's venture-capital arm. After two more meetings, in Tokyo and Silicon Valley, Son agreed to lead a massive $121 million investment in Light, through his SoftBank Vision Fund. Leica Camera also joined the deal. A big reason that Light was able to attract so much funding is the promise of robots, drones and, especially, self-driving cars. Light uses complex algorithms to combine images from multiple camera modules into a single, high-quality image with depth.
Artificial intelligence (AI) is playing an increasingly influential role in the modern world, powering more of the technology that impacts people's daily lives. For digital marketers, it allows for more sophisticated online advertising, content creation, translations, email campaigns, web design and conversion optimization. Outside the marketing industry, AI underpins some of the tools and sites that people use every day. It is behind the personal virtual assistants in the latest iPhone, Google Home, and Amazon Echo. It is used to recommend what films you watch on Netflix or what songs you listen to on Spotify, steers conversations you have with your favorite retailers, and powers self-driving cars and trucks that are set to become commonplace on roads around the world.
For a species that would like to see self-driving cars stick to the letter of the law, we humans don't make things easy. We let lane lines fade and stop signs fall down. We fail to mark speed limits and flag pop-up construction sites. For the most part, humans can handle this lack of clarity. For robots, it can be baffling.
You are lucky to be in the Artificial Intelligence (AI) enabled network, working on or studying machine learning, data science, business intelligence, or any other AI domains that are buzz words in the cutting-edge technology industry. While AI makes work easy and error free, it is, however, true that automation is a threat and slowly takes away human jobs. Taking the two aspects of the same coin together, the demand for AI talent continues to grow at an accelerating pace. AI and automation are all set to impact nearly all the industries. AI is increasingly being deployed for popular services like customer service chatbots in medicine, retail and banking industries.
An upcoming book is getting some media attention for including an unflattering characterization of Google co-founder Sergey Brin. Some original Google employees remember Brin as a "playboy" during the company's early days, as well as a manager who thought nothing of having intimate relationships with female employees, according to Valley of Genius: The Uncensored History of Silicon Valley (as Told by the Hackers, Founders, and Freaks Who Made It Boom) by Adam Fisher. In addition to the salacious info, excerpts of the book published by Vanity Fair this week include a sobering reminder about what Brin and the company's other founder Larry Page, always considered their primary goal. In Fisher's book, Kevin Kelly, Wired's founding editor, told him: "When I met Page, I said, 'Larry, I don't get it. I don't see where you're going with this.
I got excellent feedback after taking part in the panel discussion, and since it was not recorded I thought I would write a blog post on some of what I discussed, my response to the core questions and some other thoughts I had on the topic. Artificial Intelligence (AI) is often thought of as being new areas that are currently hard to automate, difficult problems to solve using computers, and ultimately replacing humans jobs. Yet we have been using a form of AI or Machine Learning (ML) since the 1950's as Artificial neural network, later on adopted by businesses in 1970's initially as decision support systems, and later evolving into data mining, business intelligence, analytics & insights, and more recently data science. What has changed is that the sales and marketing teams are now involved, and sometimes even overpromising on what is possible! Yet there has also been an increase in computing power, storage capacity with massive datasets collected from a larger number of sources, and open source data science code, packages and tutorials that are readily available.
At the blockbuster plenary sessions, the chairs stretched so far back that even the most youthful Silicon Valley college dropouts-turned VC hoovers had to squint to see the action up in front. A handful of large projection screens hung between the ballroom's chandeliers, displaying loop-de-looping flow charts on vehicle safety systems, sensor alignments, liability law. But despite the best efforts of the downtown San Francisco Hilton's air conditioners, the air shared by the attendees of this year's Automated Vehicles Symposium was thick with secrets and doubt. Eight years after Google first showed its self-driving car to The New York Times, the autonomous vehicle industry is still trying to figure out how to talk about itself. Over the three-day conference, engineers, business buffs, urban planners, government officials, and transportation researchers grappled with how to tell the public that its wonder drug of a transportation solution will have its limitations.
Americans spend 8 billion hours stuck in traffic every year. Deep neural networks can help! DeepTraffic is a deep reinforcement learning competition. The goal is to create a neural network to drive a vehicle (or multiple vehicles) as fast as possible through dense highway traffic. What you see above is all you need to succeed in this competition.