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Artificial Intelligence High School + County Mall Outline Approved


Artificial Intelligence High School + County Mall Outline Approved – Dacula, GA – The quickest way to get caught up on the most important things …

Mark Cuban's no-cost Artificial Intelligence Boot Camp coming to Portland


The Mark Cuban Foundation announced Wednesday that they will be hosting a no-cost Artificial Intelligence (A.I.) Boot Camp in Portland this fall for underserved high school students. The A.I. boot camp is one of the 30 camps across the U.S. and will teach students basic A.I. concepts and skills. The camp will be held on four consecutive Saturdays starting on Oct. 22 and ending on Nov. 12. Each camp session is five hours and no prior experience is required. At the camp, students will learn what A.I. is and is not.

Can Tech Help Reset Our Expectations?: Packback, Inquiry-Based Learning and the Power of AI


Kids walk into kindergarten with big dreams for themselves -- writing their names, making friends, and if they're lucky, maybe even learning about new species of dinosaurs. Though they may not express it this way, young children see school as the key to unlocking their potential, the first step to becoming an astronaut, a veterinarian, a firefighter or whatever they aspire to be when they grow up. Their families, too, have high hopes for what the next 13 years will bring, counting on educators to prepare their children for the future cognitively, socially and emotionally. But unfortunately in many classrooms across the U.S., these kids and their families discover that the education system's goals for them are much less ambitious than their own. Throughout elementary school, then into middle and high school, students are guided to academic milestones that are simply too low, targets that should be baselines rather than ceilings.

Faced With A Data Deluge, Astronomers Turn To Automation - AI Summary


Specifically, Huerta and his then graduate student Daniel George pioneered the use of so-called convolutional neural networks (CNNs), which are a type of deep-learning algorithm, to detect and decipher gravitational-wave signals in real time. Roughly speaking, training or teaching a deep-learning system involves feeding it data that are already categorized--say, images of galaxies obscured by lots of noise--and getting the network to identify the patterns in the data correctly. After their initial success with CNNs, Huerta and George, along with Huerta's graduate student Hongyu Shen, scaled up this effort, designing deep-learning algorithms that were trained on supercomputers using millions of simulated signatures of gravitational waves mixed in with noise derived from previous observing runs of Advanced LIGO--an upgrade to LIGO completed in 2015. For instance, Adam Rebei, a high school student in Huerta's group, showed in a recent study that deep learning can identify the complex gravitational-wave signals produced by the merger of black holes in eccentric orbits--something LIGO's traditional algorithms cannot do in real time. In a preprint paper last September, Nicholas Choma of New York University and his colleagues reported the development of a special type of deep-learning algorithm called a graph neural network, whose connections and architecture take advantage of the spatial geometry of the sensors in the ice and the fact that only a few sensors see the light from any given muon track.

'League of Legends' no longer exclusive to PlayVS for high schools

Washington Post - Technology News

For the past two years, PlayVS (pronounced "play versus") has been the exclusive platform for high school competitions of "League of Legends." Anyone can play "League of Legends" free at home, but to compete in officially sanctioned high school leagues, students and schools had to pay PlayVS, which charges $64 per player per season. But the exclusive agreement between Riot and PlayVS barred these leagues from hosting interscholastic matches in "League of Legends," one of the most popular competitive games in the world.



For the 7th edition of the Prize, a group of academic experts from IÉSEG (composed of 3 professors from IÉSEG: Guillaume Mercier, Caroline Rieu-Plichon and Yulia Titova) evaluated 26 theses in order to select the 3 best ones in terms of academic criteria. The winner of the ICOR Award was then chosen among these three finalists by a jury of professionals, made up this year of Valérie Ader-Plaziat, Senior Advisor in charge of CSR policy at Colombus Consulting, Augustin Boulot, Managing Director of B Lab France and Charles Pick, CSR Director of Clinitex. Presented by Caroline Roussel, Deputy Director of the School, on the occasion of IÉSEG's CSR Day, the ICOR 2022 Award was awarded this year to Julia Guillemot (2021 graduate of the Grande École Program) for her thesis: "The integration of ethical concerns in the development and deployment of artificially intelligent systems within technological companies. Each year, the winner of the ICOR Award receives €2,000 and commits to donate half of his or her prize money to a non-profit organization or social enterprise of his or her choice. This year, Julia Guillemot has chosen to support the Global Schools Program, an initiative of the United Nations. This initiative aims to equip primary and secondary school teachers around the world with content and tools that can be adapted in any country to teach sustainable development to pupils from kindergarten to high school. The ICOR Award ceremony was preceded by a conference organized by ICOR on the theme "New forms of enterprise at the service of society and the environment: idealism or sustainable models?

Teaching Ourselves About Humanity Through Artificial Intelligence - YR Media


Snigdha Roy is a teen hacker who is convinced that AI can teach us about our humanity. The high school student says with the right dose of curiosity, we can learn about AI systems and use them for social good. Working with notable institutions like the Stanford Natural Language Processing (NLP) group, she built an AI therapist and technology aimed at understanding how the pandemic has changed our emotions. Who runs the largest high school hackathon in the Northeast?! Yeah, that's also Snigdha. Not to mention, she was a selected scholar at Kode With Klossy and is the former CEO of Greening Forward.

Teaching AI to All Students


In the past two years, the amount of artificial intelligence being used in our everyday lives has increased significantly. As a result, there is a greater demand for people who have the skills to work in this field, and it will continue to lead to the creation of many more jobs according to the Jobs of Tomorrow report. Areas such as artificial intelligence, data analytics, cloud computing, and cybersecurity are some of those mentioned in the report as likely to see an increase in demand for skilled workers which means that we need to do more to prepare our students for these careers and others that will evolve over time. There are big trends for this year about how AI will impact the world of work and the skills needed. It has been predicted that artificial intelligence will automate the production of 30% of all the content available on the Internet this year.

Meet the Seattle-area teen geeks that just won awards at an international science fair


The bleak and all-too-common spectacle of roadkill was upsetting to Vedant Srinivas -- particularly when his uncle and cousin's beloved German Shepherd-Rottweiler mix was fatally hit by a car. More importantly, the losses made the high school student wonder if he could do something about it. What if Srinivas could stop the pet owners' broken hearts, save wildlife and deflect the economic impacts caused by the collisions? This month his efforts were rewarded. The sophomore from Eastlake High School in Sammamish, Wash., brought home a $5,000, first place grand award for the category of Environmental Engineering from the Regeneron International Science and Engineering Fair (ISEF).

Always Improving Performance

Communications of the ACM

As a young man, Jack Dongarra thought he would probably teach science to high school students. That was his plan when he enrolled at Chicago State College, which had become Chicago State University by the time he graduated in 1972. Over the course of his studies, he began to be fascinated by computers. In his senior year, physics professor Harvey Leff suggested he apply for an internship at nearby Argonne National Laboratory, where he could gain some computing experience. There, Dongarra joined a group developing EISPACK, a software library for calculating eigenvalues, components of linear algebra that are important to performing simulations of chemistry and physics.