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) …
This class is an introduction to the practice of deep learning through the applied theme of building a self-driving car. It is open to beginners and is designed for those who are new to machine learning, but it can also benefit advanced researchers in the field looking for a practical overview of deep learning methods and their application. MIT 6.S094: Deep Learning for Self-Driving Cars is a course on a cutting-edge research area. Support for this course was genorously provided by the companies whose logos are shown below. And none of it would be possible without the great community of bright young minds at MIT and beyond.
With the power of the human brain increasing manifold, the degree of technological advancement is also correspondingly getting infinite. With Big Data and the Internet of Things (IoT) clearly making its presence felt across several industries, Artificial Intelligence (AI) and machine learning are not far behind. In fact, the future looks to be largely governed by these two forces so much so that several businesses are driving their investment in this direction, banking on the innovative benefits that it promises. AI unfolds itself as a significant game-changer by being a key player in the process of digital transformation for a wide range of industries. In order to understand how AI is culminating to be the next driving force in the technology paradigm, let us understand how it all started and what its primary capabilities are.
Henrik Fisker spent this year's CES at Booth 3315, standing next to a deep red, curvaceous, quirky electric sedan with doors that pivot like wings. The EMotion is the work of Fisker Inc, the car designer's latest venture. But the stage Fisker and the car stood on didn't say Fisker Inc. It said Quanergy--a Silicon Valley-based startup that makes lidar sensors for self-driving cars; it has plans to embed several of its units is discreetly into the new car. Fisker wasn't the only one shacking up at CES. Ford's display highlighted not cars, but its deal with Dominos to work on autonomous pizza deliveries.
In many ways this year's CES looked a lot more like an autonomous-car show than a consumer electronics show. There were announcements aplenty from the likes of Ford, Baidu, Toyota, and others about self-driving vehicles, upcoming driving tests, and new partners. In a parking lot across from the Las Vegas Convention Center, several companies offered rides; you could even schedule a ride in a self-driving Lyft through the company's app and get dropped off at one of many casinos on the Strip. A couple of miles away in downtown Las Vegas, an eight-passenger autonomous shuttle bus ran in a loop around Fremont Street. It was part of an ongoing test between commuter transit company Keolis, autonomous-car maker Navya, and the city.
A Bay Area man who took advantage of one of the marvels of modern technology was arrested on the afternoon of Jan. 13. The San Francisco branch of the California Highway Patrol tweeted out this image and accompanying caption Friday, showing an unidentified man who got arrested for a DUI after he was caught passed out behind the wheel of a self-driving Tesla. When u pass out behind the wheel on the Bay Bridge with more than 2x legal alcohol BAC limit and are found by a CHP Motor. Driver explained Tesla had been set on autopilot. He was arrested and charged with suspicion of DUI.
In May 2017, Ford announced that it had replaced its CEO, Mark Fields, who had been with the company since 1989, with Jim Hackett. Despite being on Ford's board since 2013, Hackett was probably best known for leading Steelcase, the large office-furniture company, for decades and turning around its fortunes, as well as for working with the University of Michigan to bring NFL coach Jim Harbaugh to the school. Other than the fact that all these things are based in Michigan, there wasn't really much that pointed to Hackett as the person who would lead the 114-year-old company into the future. But his first few months at the helm have cemented his vision for Ford. Earlier this month he released a treatise doubling down on the company's commitment to autonomous vehicles and the loosely defined concept of "mobility" and the "transport operating system" of the future.
There's a provocative interview with the philosopher Daniel Dennett in Living on Earth. The topic is Dennett's latest book -- From Bacteria to Bach and Back: The Evolution of Minds -- and his idea that Charles Darwin and Alan Turing can be credited, in a way, with the same discovery: that you don't need comprehension to achieve competence. Darwin showed how you can get the appearance of purpose and design out of blind processes of natural selection. And Turing, one of the pioneers in the field of computation, offered evidence that any problem precise enough to be computed at all, can be computed by a mechanical device -- that is, a device without an iota of insight or understanding. But the part of the interview that particularly grabbed my attention comes at the end.
As recruiters in the Information Management and Data Analytics industry we are constantly immersing ourselves in the world of technology, we're always hearing about the future and where it is all going (in fact we're even running a survey about it – check it out here!). As more people look towards the future of technology we wanted to know what the KDR team's top tech predictions are… "That you will be able to go into a'VR' room, ask a question and have the answer shown to you in whatever medium you choose. The'machine' will be able to trawl all the available answers on the web and feed it back to you in whatever format suits you best, having learned your preferences through machine learning and AI." – Mark "That you will be able to have a chip placed in your brain that will record your experiences and be able to play back memories as you want. You'll never lose a good memory again." "Virtual Reality is already giving people the chance to experience things from their living rooms, like going on safari or riding a rollercoaster, but I think VR will get to a point where people won't have to move if they don't want.
Video Friday is your weekly selection of awesome robotics videos, collected by your Automaton bloggers. We'll also be posting a weekly calendar of upcoming robotics events for the next few months; here's what we have so far (send us your events!): Let us know if you have suggestions for next week, and enjoy today's videos. When babies crawl on the floor, especially in carpeted areas, their movement kicks up lots of dirt and dust, including things like skin cells, bacteria, and fungal spores. Researchers at Purdue University wanted to find out if that could be bad for the babies.
China has been producing almost twice as many papers on artificial intelligence as the next highest-placed country in terms of publication volume for the field, a data analysis for Times Higher Education has shown. Data from Elsevier's Scopus database provided to THE illustrate China's huge drive on research in the area, with researchers in the nation notching up just over 41,000 publications from 2011 to 2015. In terms of publication volume, the US was second during the period with almost 25,500 publications while Japan was in third place (about 11,700) and the UK in fourth (about 10,100). However, although China scored high in terms of volume, it was only 34th in terms of field-weighted citation impact (which allows for differences in citations according to subject and year), suggesting that most of the papers were not of the same quality as those coming from the US (fourth for citation impact), for instance. Leading the world on this measure was Switzerland, with a citation impact score of 2.71, followed by Singapore (2.24) and Hong Kong (2.00), although all three of these produced fewer than 2,500 publications on AI over the time frame.