For those of us who zone out during university lectures, the temptation multiplies when you taking classes from home. Next fall, a business school in France will try to stop online students from getting distracted with an AI app called Nestor. To judge your level of attention, it can track your face and eyes and even detect when you pull out a phone. If you start to slack off, it can warn you via pop-up messages or emails, and tell you roughly when you may drift away again. The bot will be used for two classes at the ESG Business school, including a 30 hour "street marketing" course, as part of a distance learning program.

In this video, students learn how we make robot joints move to the angles or positions that are required to achieve the desired end-effector motion. This is the job of the robot's joint controller. In the lecture, we will take discuss the realms of control theory.

A part of Artificial Intelligence, machine learning is on rising scale of adoption. Content analytics refer to machine learning platform that optimize content modules. Learning analytics is focused on tracking student knowledge and enhance their learning environment. Current grading system relies on humans, but with machine learning students learning and knowledge can be scored.

The Minnesota Education Computing Corporation might not be the most recognizable game developer today, but if you went to elementary school in the US anytime in the eighties or nineties, then you've almost certainly played -- and probably learned something from -- one of its educational games. The company started in 1973 as an initiative to put more computers into classrooms across Minnesota and eventually created over 300 different software titles, including the version of The Oregon Trail that became the cultural touchstone it is today. Now MECC and The Oregon Trail are finally getting the recognition they deserve in a retrospective exhibit from the Strong, the National Museum of Play. The museum actually inducted The Oregon Trail into the Video Game Hall of Fame back in 2016, and the new exhibit will include playable original versions of the game so younger generations can experience the excitement of hunting for buffalo in all it's 8-bit glory. Aside from teaching countless schoolkids grammar with Word Munchers, MECC is also considered a pioneer in STEM education that popularized computer learning.

Tonight, we hear from Sebastian Thrun. He founded Google X, the semi-secret research facility that began development of Google's self-driving car. SEBASTIAN THRUN, Founder, Google X: Artificial intelligence is to the human brain what the steam engine has been to the human muscle. Before the agricultural revolution, most of us were farmers, and our distinguishing capabilities were our physical strength and agility. And then we invented machines that make us stronger and, all of a sudden, one farmer can make food for 150 people.

Natural-language-facilitated human-robot cooperation (NLC), in which natural language (NL) is used to share knowledge between a human and a robot for conducting intuitive human-robot cooperation (HRC), is continuously developing in the recent decade. Currently, NLC is used in several robotic domains such as manufacturing, daily assistance and health caregiving. It is necessary to summarize current NLC-based robotic systems and discuss the future developing trends, providing helpful information for future NLC research. In this review, we first analyzed the driving forces behind the NLC research. Regarding to a robot s cognition level during the cooperation, the NLC implementations then were categorized into four types {NL-based control, NL-based robot training, NL-based task execution, NL-based social companion} for comparison and discussion. Last based on our perspective and comprehensive paper review, the future research trends were discussed.

We consider revenue maximization in online auctions and pricing. A seller sells an identical item in each period to a new buyer, or a new set of buyers. For the online posted pricing problem, we show regret bounds that scale with the best fixed price, rather than the range of the values. We also show regret bounds that are almost scale free, and match the offline sample complexity, when comparing to a benchmark that requires a lower bound on the market share. These results are obtained by generalizing the classical learning from experts and multi-armed bandit problems to their multi-scale versions. In this version, the reward of each action is in a different range, and the regret w.r.t. a given action scales with its own range, rather than the maximum range.

SaaS solutions firm Gong last week released the findings of a study on sales phone conversations, including an analysis of gender speaking patterns. Women delivered slightly longer sales monologues, averaging about 9-12 seconds longer than those their male counterparts gave, but men generally spoke faster, the study found. Men tended to speak at a faster pace, averaging about 2.88 words per second compared to the average 2.79 seconds for women, the study found. Men also paused longer -- averaging about 1.5 seconds compared to women's 1.3 seconds. Women had a higher degree of success in progressing deals, with a 54 percent probability of reaching the next milestone, while men registered a 49 percent probability, the data indicated.

You'd be forgiven if, settling into the fall 2003 "Literature of the 16th Century" course at University of California, Berkeley, you found the unassuming 70-year-old man standing at the front of the lecture hall a bit eccentric. For one thing, the class syllabus, which was printed on the back of a rumpled flyer promoting bicycle safety, seemed to be preparing you for the fact that some readings may feel toilsome. "Don't worry," it read on the two weeks to be spent with a notoriously long allegorical poem; it's "only drudgery if you're reading it for school." Phew! you thought, then, Wait a second... You might have wondered what you had gotten yourself into. Then again, if you had enrolled in Stephen Booth's class, chances are that you already knew. By this time, Booth had been teaching Shakespeare to Berkeley undergraduates for decades and had earned the adulation of thousands of students.

Organizations like Insight Data science founded by Jake Klamka is specifically designed for helping PhD's transition into industry. At the other end of the spectrum, aspiring data scientists, who have enough domain expertise and are keen to pursue this art can take umbrage from the example of Clare Corthell who has embarked on a self crafted journey to embrace the art of data science purely on online learning MOOCs. In Fact she has herself come out with a curriculum for data science with the Open Source Data Science Masters--OSDSM- program. These courses can help you to bridge the gap in your learning and practicing the craft. The OSDSM is a collection of open source resources that will help you to acquire skills necessary to be a competent entry level data scientist. You can access the curriculum here . You have to be adept at learning and upgrading on the job and on the fly. Kunal Punera the Co founder / CTO at Bento labs talks about this aspect when he says.. I spent two years at RelateIQ. I worked on building the data mining system from scratch -- and by the time I left I had built most of the data products deployed in RelateIQ.