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How artificial intelligence can solve worldwide unemployment Access AI

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On the other hand sophisticated robots make it possible to move from mass production into personal production. Already today the internet sector employs a significant number of programmers, designers and marketing people. As we move from one dimensional internet into more dimensional virtual reality employment will increase dramatically. The first implicit assumption behind this thought is that while our technology creates sophisticated machines and software, our education system will not make use of these new opportunities.


Carnegie Mellon's AI Program Aims to Better Prepare Students for the Changing Workforce

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The goal is to train students to build complex software systems or powerful robots that utilize multiple different AI technologies, whether it be machine learning tech to help those systems learn from data or technology that helps robots see and perceive the world similar to humans. However, there hasn't been a standardized way to develop these complex projects that require multiple AI technologies to function together. Similar to how building a skyscraper requires people with expertise in diverse fields like structural engineering and concrete mixing, building powerful software like Siri or robots requires people with expertise in many different areas of AI. "We have done a good job of covering all the component parts," Moore said of teaching different subsets of AI like machine learning and computer vision.


Why it's time for CIOs to invest in machine learning

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To Olley, machine learning fills a gap in technology that has existed for a long time: solving complex problems with pattern recognition. "With the majority of Elsevier's revenue coming from technology-based products and services, we started using machine learning in our commercial products, but it's equally applicable to internal IT platforms," Olley says. As part of the executive teams within RBI and Elsevier, Dan continues to drive organic online product growth across the portfolio. Prior to RELX Group, Dan held technology and product management leadership roles with GM Financial, Wunderman Cato Johnson, and IBM, as well as a number of software organizations in the United Kingdom and other international locales.


Country needs skilled personnel in AI & data analytics, says minister

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AT A time when the country's Information Technology industry is forced to carry out mass layoffs, experts argue that Artificial Intelligence (AI) and Data Science sectors offer a glimmer of hope. While it is feared that IT jobs are being lost to robots, Y S Chowdary, Minister of State for Science & Technology, told The Indian Express that the country lacks skilled personnel in the fields of Data Analytics and Artificial Intelligence. We need to concentrate on capacity building to analyse this data to better our governance," said Chowdary, who was the chief guest at a Data Science Congress held in the city earlier this month. As India has the largest pool of people with math and coding skills, we can become world's largest hub for skills for Data Science, Machine Learning, AI and Deep learning" said Daheria.


Carnegie Mellon Launches Artificial Intelligence Initiative

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Carnegie Mellon University's School of Computer Science (SCS) has launched a new initiative, CMU AI, that marshals the school's work in artificial intelligence (AI) across departments and disciplines, creating one of the largest and most experienced AI research groups in the world. Moore is directing the initiative with Jaime Carbonell, the Newell University Professor of Computer Science and director of the Language Technologies Institute;Martial Hebert, director of the Robotics Institute; Computer Science Professor Tuomas Sandholm; and Manuela Veloso, the Herbert A. Simon University Professor of Computer Science and head of the Machine Learning Department. It created the first and only Machine Learning Department, studying how software can make discoveries and learn with experience. That expertise, spread across several departments, has enabled CMU to develop such technologies as self-driving cars; question-answering systems, including components of IBM's Jeopardy-playing Watson; world-champion robot soccer players; 3-D sports replay technology; and even an AI smart enough to beat four of the world's top poker players.


I learned how to break bad news to patients and loved ones more from business school than medical school

Los Angeles Times

Like most doctors, I spent four years in medical school learning to treat hundreds of illnesses and help patients manage their health. I spent very little of this time learning how to work with patients when modern medicine runs out of miracles -- and only a few hours, spread over four years, learning to lead end-of-life conversations and deliver bad news. A recent study of medical curricula, published last year in the American Journal of Hospice and Palliative Medicine, found that the average time dedicated to end-of-life care is 13 hours spread across multiple courses over four years. Medical schools need to teach doctors to do the same.


System of quadcopters that fly and drive suggest another approach to developing flying cars

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The ability to both fly and drive is useful in environments with a lot of barriers, since you can fly over ground obstacles and drive under overhead obstacles, says PhD student Brandon Araki, lead author on the paper. The project builds on Araki's previous work developing a flying monkey robot that crawls, grasps, and flies. Rus says that systems like theirs suggest that another approach to creating safe and effective flying cars is not to simply put wings on cars, but to build on years of research in adding driving capabilities to drones. As we begin to develop planning and control algorithms for flying cars, we are encouraged by the possibility of creating robots with these capabilities at small scale, Rus says.


Drones that drive

Robohub

"The ability to both fly and drive is useful in environments with a lot of barriers, since you can fly over ground obstacles and drive under overhead obstacles," says PhD student Brandon Araki, lead author on a paper about the system out of CSAIL director Daniela Rus' group. The project builds on Araki's previous work developing a "flying monkey" robot that crawls, grasps, and flies. Rus says that systems like theirs suggest that another approach to creating safe and effective flying cars is not to simply "put wings on cars," but to build on years of research in drone development to add driving capabilities to them. "As we begin to develop planning and control algorithms for flying cars, we are encouraged by the possibility of creating robots with these capabilities at small scale," says Rus.


Artificial Intelligence Is Changing Education: Scary, Harmful, Or Awesome? - eLearning Industry

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Super-intelligence is a True AI created by humans, powerful enough to create intelligent machines on its own and thus being able to eliminate humans as the weak link in the new world order. Basically, Emma puts plagiarism checking in any written paper on its head. Of course, for education, especially in the recent decades of information era, checking papers for authorship is getting both harder and more relevant. Ms. Watson studied the most popular questions and answers through the years and learned how to answer similar questions.


Drones that drive

MIT News

"The ability to both fly and drive is useful in environments with a lot of barriers, since you can fly over ground obstacles and drive under overhead obstacles," says PhD student Brandon Araki, lead author on the paper. The project builds on Araki's previous work developing a "flying monkey" robot that crawls, grasps, and flies. Rus says that systems like theirs suggest that another approach to creating safe and effective flying cars is not to simply "put wings on cars," but to build on years of research in adding driving capabilities to drones. "As we begin to develop planning and control algorithms for flying cars, we are encouraged by the possibility of creating robots with these capabilities at small scale," Rus says.