Gifted students have a higher capabilities of understanding and learning. They are characterized by a high level of attention and a high performance in the classroom. Gifted children are defined in this paper as children who have a performance higher than the average group (59.64%). In order to predict gifted students from normal students, we conducted an experiment where 17 pupils have voluntarily participated in this study. We collected different types of data (gender, age, performance, initial average in math and EEG mental states) in a web platform to learn mathematics called NetMath.

Gifted students have a higher capabilities of understanding and learning. They are characterized by a high level of attention and a high performance in the classroom. Gifted children are defined in this paper as children who have a performance higher than the average group (59.64%). In order to predict gifted students from normal students, we conducted an experiment where 17 pupils have voluntarily participated in this study. We collected different types of data (gender, age, performance, initial average in math and EEG mental states) in a web platform to learn mathematics called NetMath. Participants were invited to respond to top-level exercises on the four basic operations in decimals. We trained different machine learning algorithms to predict gifted students. Our first results show that the decision tree could predict gifted students with an accuracy of 76.88%. Using J48 trees, we noticed also that two relevant features could determine gifted children: the relaxation extracted from EEG headset and the characteristic of strong student. A strong student is defined as a student who obtained a mean higher than the group’s mean in the first step evaluation in class.

Pascal Weinberger in conversation with his team at Telefonica's "moonshots" division Alpha, where he heads AI research and development. Flying cars, augmented reality glasses and contact lenses that can detect diabetes: They're all innovations born out of Google X, the skunkworks division of Alphabet. Three years ago Spanish telco giant Telefónica established Alpha, a lab in Barcelona staffed by around 100 people, working in stealth on innovative technology that holds the promise of a potential new revenue streams. The person running all things AI at the lab is Pascal Weinberger, 21. Weinberger is originally from Germany and like many other computer programmers is self-taught.

Teachers have long recognized that their students learn at different rates, and in different ways. Recall the frustration of a gifted student who had learned a concept through their own reading, needing to curtail their enthusiasm during a particular lesson while the rest of the class caught up. Or the contrary: the struggling student, who may have missed a class in a previous grade, and does not have a foundation skill with which to build comprehension of the new lesson. In the hurly burly of a class, the subtleties of who is chomping at the bit to learn more and who is struggling may not always be that obvious. Students will seldom put their hands up and self-identify as being "bored" or "struggling".

Flying cars, augmented reality glasses and contact lenses that can detect diabetes: They're all innovations born out of Google X, the skunkworks division of Alphabet. Three years ago Spanish telco giant Telefónica established Alpha, a lab in Barcelona staffed by around 100 people, working in stealth on innovative technology that holds the promise of a potential new revenue streams. The person running all things AI at the lab is Pascal Weinberger, 21. Weinberger is originally from Germany and like many other computer programmers is self-taught. He dropped out of a bachelor's degree, having "enrolled to keep my parents happy," but by 15 had already taken several remote courses in programming at MIT.

If Elon Musk doesn't like something, he'll create his own version. That's exactly what he's done for his children's education by starting a radical ultra-exclusive school at his SpaceX headquarters in Hawthorne, California. For the past four years, the non-profit'experimental' school has been educating the billionaire's five sons, children of some SpaceX employees and a number of gifted students from Los Angeles. The school has some unconventional teaching methods. Reports suggest it allows students to skip subjects they don't like, build flamethrowers and'defeat evil AIs'.

In the meantime, if one of them goes berserk, here's a useful tactic: Shut the door behind you. One after another, robots in a government-sponsored contest were stumped by an unlocked door that blocked their path at an outdoor obstacle course. One bipedal machine managed to wrap a claw around the door handle and open it but was flummoxed by a breeze that kept blowing the door shut before it could pass through. Robots excel at many tasks, as long as they don't involve too much hand-eye coordination or common sense. Like some gifted children, they can perform impressive feats of mental arithmetic but are profoundly klutzy on the playground.

Read the full ABC article and watch the video interview to learn more about Tanmay and his work in the field of AI. The Australian Broadcasting Corporation (ABC) recently profiled 13-year-old Canadian tech prodigy Tanmay Bakshi who started using computers at age five, launched his first app at age nine, and has been working with IBM's AI and cognitive APIs for a couple of years now. Tanmay is in a different league from the average pre-teen. In 2013, at age nine, he built "tTables," an app to help kids learn multiplication which Apple's App Store accepted after rejecting it three times. An incredible achievement for a child who loves to code but is largely self-taught.

Read the full ABC article and watch the video interview to learn more about Tanmay and his work in the field of AI. The Australian Broadcasting Corporation (ABC) recently profiled 13-year-old Canadian tech prodigy Tanmay Bakshi who started using computers at age five, launched his first app at age nine, and has been working with IBM's AI and cognitive APIs for a couple of years now. Tanmay is in a different league from the average pre-teen. In 2013, at age nine, he built "tTables," an app to help kids learn multiplication which Apple's App Store accepted after rejecting it three times. An incredible achievement for a child who loves to code but is largely self-taught.

Daniel (Danny) Bobrow passed away peacefully at home with his wife Toni and daughters Kimberly and Deborah in Palo Alto, California, on March 20, 2017, having bravely fought a five-month battle with cancer. Danny was born to Ruth Gureasko Bobrow and Jacob Bobrow on November 29, 1935, in the Bronx, New York City. A gifted student, he attended Bronx High School of Science and went on to earn a BS from Rensselaer Polytechnic Institute, an MS from Harvard, and a PhD in Mathematics from Massachusetts Institute of Technology under the supervision of Marvin Minsky. His was one of the first MIT doctoral theses in Artificial Intelligence. A pioneer with a long and distinguished research career in Artificial Intelligence as a Research Fellow in the System Sciences Laboratory of the Palo Alto Research Center (PARC), he is remembered as a mentor, friend, and role model for many.