Posts Tagged ‘AI artificial intelligence’

AI laptops

https://www.cnet.com/news/intel-will-build-ai-brains-into-your-laptop-for-tomorrows-speed-boost/

AI computing involves two phases: training and inference. Training requires computers that can process enormous amounts of data. For example, getting an AI system to recognize what’s in photographs requires a computer to sort through billions of labeled photos to create a model. That model is used in the second step to infer, or identify, what’s in a specific photo.

Intel already sells its Nervana chips for training and inference to data centers packed with servers, computing infrastructure that often powers services at AI-heavy companies such as Google and Facebook. Intel is now shipping its larger, more expensive and power-hungry Nervana NNP-T chips for training and its smaller NNP-I chips for inference, the chipmaker announced.

Likewar

LikeWar

https://www.npr.org/books/titles/655833359/likewar-the-weaponization-of-social-media

https://www.foreignaffairs.com/reviews/capsule-review/2018-10-16/likewar-weaponization-social-media

https://information-professionals.org/wp-content/uploads/2018-10-25-LikeWar.pdf

https://madsciblog.tradoc.army.mil/87-likewar-the-weaponization-of-social-media/

Social media had changed not just the message, but the dynamics of conflict. How information was being accessed, manipulated, and spread had taken on new power. Who was involved in the fight, where they were located, and even how they achieved victory had been twisted and transformed. Indeed, if what was online could swing the course of a battle — or eliminate the need for battle entirely — what, exactly, could be considered ‘war’ at all?

Even American gang members are entering the fray as super-empowered individuals, leveraging social media to instigate killing s via “Facebook drilling” in Chicago or “wallbanging” in Los Angeles.

Instagram AI and cyberbullying

https://www.npr.org/2019/10/03/766507832/instagram-now-lets-you-control-your-bullys-comments

Instagram announced a new anti-bullying feature called Restrict.

Fifty-nine percent of American teens have been bullied or harassed online, according to a 2018 survey by the Pew Research Center. Instagram is one of the most popular social media networks among teenagers and a likely place for teens to be bullied.

In a recent study, conducted by the investment bank Piper Jaffray, Instagram is the second most popular social media platform among teenagers. Thirty-five percent of teens surveyed said that Instagram is their favorite social media platform, compared with 41% who preferred Snapchat.

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more on cyberbullying in this IMS blog
http://blog.stcloudstate.edu/ims?s=cyberbullying

AI and XR and Educational Gaming

AI and Mixed Reality Drive Educational Gaming into ‘Boom Phase’

By Dian Schaffhauser 09/16/19

https://campustechnology.com/articles/2019/09/16/ai-and-mixed-reality-drive-educational-gaming-into-boom-phase.aspx

Artificial intelligence and mixed reality have driven demand in learning games around the world, according to a new report by Metaari. A five-year forecast has predicted that educational gaming will reach $24 billion by 2024, with a compound annual growth rate of 33 percent and a quadrupling of revenues. Metaari is an analyst firm that tracks advanced learning technology.

surveillance technology and education

https://www.edsurge.com/news/2019-06-10-is-school-surveillance-going-too-far-privacy-leaders-urge-a-slow-down

New York’s Lockport City School District, which is using public funds from a Smart Schools bond to help pay for a reported $3.8 million security system that uses facial recognition technology to identify individuals who don’t belong on campus

The Lockport case has drawn the attention of national media, ire of many parents and criticism from the New York Civil Liberties Union, among other privacy groups.

the Future of Privacy Forum (FPF), a nonprofit think tank based in Washington, D.C., published an animated video that illustrates the possible harm that surveillance technology can cause to children and the steps schools should take before making any decisions, such as identifying specific goals for the technology and establishing who will have access to the data and for how long.

A few days later, the nonprofit Center for Democracy and Technology, in partnership with New York University’s Brennan Center for Justice, released a brief examining the same topic.

My note: same considerations were relayed to the SCSU SOE dean in regard of the purchase of Premethean and its installation in SOE building without discussion with faculty, who work with technology. This information was also shared with the dean: http://blog.stcloudstate.edu/ims/2018/10/31/students-data-privacy/

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more on surveillance in education in this IMS blog
http://blog.stcloudstate.edu/ims?s=surveillance+education

AI in education

https://www.edsurge.com/news/2019-01-23-how-much-artificial-intelligence-should-there-be-in-the-classroom

a two-day conference about artificial intelligence in education organized by a company called Squirrel AI.

he believes that having AI-driven tutors or instructors will help them each get the individual approach they need.

the Chinese government has declared a national goal of surpassing the U.S. in AI technology by the year 2030, so there is almost a Sputnik-like push for the tech going on right now in China.

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more on AI in education in this IMS blog
http://blog.stcloudstate.edu/ims?s=Artificial+Intelligence+and+education

AI deep learning

Machine learning for sensors

June 3, 2019

https://phys.org/news/2019-06-machine-sensors.html

Researchers at the Fraunhofer Institute for Microelectronic Circuits and Systems IMS have developed AIfES, an artificial intelligence (AI) concept for microcontrollers and sensors that contains a completely configurable artificial neural network. AIfES is a platform-independent machine learning library which can be used to realize self-learning microelectronics requiring no connection to a cloud or to high-performance computers. The sensor-related AI system recognizes handwriting and gestures, enabling for example gesture control of input when the library is running on a wearable.

a machine learning library programmed in C that can run on microcontrollers, but also on other platforms such as PCs, Raspberry PI and Android.

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more about machine learning in this IMS blog
http://blog.stcloudstate.edu/ims?s=machine+learning

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