Rational humans can generate sentences that cover a certain set of concepts while describing natural and common scenes. For example, given {apple(noun), tree(noun), pick(verb)}, humans can easily come up with scenes like "a boy is picking an apple from a tree" via their generative commonsense reasoning ability. However, we find this capacity has not been well learned by machines. Most prior works in machine commonsense focus on discriminative reasoning tasks with a multi-choice question answering setting. Herein, we present CommonGen: a challenging dataset for testing generative commonsense reasoning with a constrained text generation task. We collect 37k concept-sets as inputs and 90k human-written sentences as associated outputs. Additionally, we also provide high-quality rationales behind the reasoning process for the development and test sets from the human annotators. We demonstrate the difficulty of the task by examining a wide range of sequence generation methods with both automatic metrics and human evaluation. The state-of-the-art pre-trained generation model, UniLM, is still far from human performance in this task. Our data and code is publicly available at http://inklab.usc.edu/CommonGen/ .

Artificial intelligence (AI), Machine Learning (ML) and automation will create more jobs than they eliminate. And the people employed in the new work environment must bring higher thinking skills, as well as social and emotional intelligence as technologists, to their workplaces and positions. In the Technologist Talk podcast series, Charles Eaton, Creating IT Futures CEO and CompTIA's executive vice president for social innovation, has referred to this workforce evolution as becoming "technologists, not just technicians." That was the key message shared by Diya Wynn, global readiness lead at Amazon Web Services Inc., during her breakout session at today's Women In Technology Summit Southeast (WITS) held in Raleigh, North Carolina. WITS is the only technical conference that features all women speakers and has programming specifically designed for women technologists working in technical and non-technical roles.

Lightning has been deemed'the most unpredictable phenomena in nature' - until now. The technology is set to work as an early warning system to prevent effects of lightning strikes to critical infrastructure, sensitive equipment and outdoor facilities. The system, developed by students at École polytechnique fédérale de Lausanne (EPFL School of Technology), is capable of predicting when and where lighting will strike to the nearest 10 to 30 minutes, within an 18 mile radius. Lightning has been deemed'the most unpredictable phenomena in nature' -until now. Amirhossein Mostajabi, the Ph.D. student who came up with the technique, said, 'Current systems are slow and very complex, and they require expensive external data acquired by radar or satellite.'

Thank you all for the huge response to this emerging course! We are delighted to have over 20,000 students in over 160 different countries. I'm genuinely touched by the overwhelmingly positive and thoughtful reviews. It's such a privilege to share and introduce this important topic with everyday people in a clear and understandable way. I'm also excited to announce that I have created real closed captions for all course material, so weather you need them due to a hearing impairment, or find it easier to follow long (great for ESL students!)... I've got you covered. To make this course "real", we've expanded. In November of 2018, the course went from 41 lectures and 8 sections, to 62 lectures and 15 sections! We hope you enjoy the new content!

Registration for this conference is now closed. This conference is anchored and building on the preview of the Special National Academy of Medicine (NAM) publication titled: "Artificial Intelligence in Healthcare: The Hope, The Hype, The Promise, The Peril." Co-led by Michael Matheny and Sonoo Thadaney Israni. Registration includes course materials, certificate of participation, breakfast and lunch. CME Certificate Fee: $25.00 Note: If you would like to receive CE Credit for your attendance, there will be a $25.00 fee option after the conference evaluation is completed and your conference attendance is verified. Your email address is used for critical information, including registration confirmation, evaluation, and certificate.

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Artificial Intelligence is now one of the fastest-growing and most needed educational initiatives in the world. With that being said, schools are researching and adapting AI programs to meet the needs of students. One of the latest programs available to educators and students in the classroom is Google AI Experiments. In April of 2019, we (Louis and Justin) had the privilege of traveling to Google's New York City Chelsea office space. Louis was invited by Barron Webster, Google Creative Lab Designer, to present his sixth-grade science fair project to the Experiments with Google team.

CBSE target for 22,000 schools to learn AI and other futuristic technologies. In order to prepare teachers with AI integrated teaching-learning, CBSE has recently launched 2 'facilitators' handbooks. The second handbook suggests how schools are able to teach the teachers from training VI to X with AI-enabled technology of reference to the useful things/themes through their respective curricula. The document talks about how AI-based equipment is able to improve learning across disciplines equally within and outside the classrooms. The idea helps assistance facilitators present AI in classrooms through games," and fun activities affirm Biswajit Saha, Director, Training and skill Education, CBSE.

Amazon Alexa: "Sorry to hear that. Talking to a friend, listening to music or taking a walk might help. I hope you feel better soon." Alexa's artificial intelligence-infused heart may be in the right place, but there's only so far it or any AI can go to comfort someone who is alone. All the same, Alexa's response raises questions about just what kind of role an AI can play to "cure" loneliness, especially among the elderly.

Increasing interest among students in artificial intelligence has prompted administrators in the Computer Science department and the School of Engineering and Applied Sciences more broadly to grow its AI program. Over the past 10 years, enrollment in introductory artificial intelligence course COMPSCI 181: "Machine Learning" has more than quadrupled from 35 students in 2009 to more than 150 in recent years. Computer Science Area Co-Chair Edward W. Kohler said the growing student demand has led administrators to focus not only on supporting existing faculty members who teach courses in artificial intelligence, but also on recruiting additional faculty members. "I would say that we come close, but we are not able to meet the demand," Kohler said. Roughly 20 faculty members across SEAS and related departments in the Faculty of Arts and Sciences currently specialize in artificial intelligence -- a number that continues to grow with recent and upcoming faculty appointments.This fall, SEAS welcomed Computer Science Professor Milind Tambe, whose work aims to tackle societal problems -- such as wildlife conservation -- using artificial intelligence.