Pennsylvania


"Student Centered, Future Focused": Montour School District Designs Schools That Are Future Ready

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Whether they are teaching multiplication facts with the video game Minecraft or exploring engineering concepts in a Lego-themed makerspace, educators in Pennsylvania's Montour School District always ask themselves, "Is this best for children?"--not just for today, but for the future students will face as adults. "Our entire school community, led by our superintendent and school board, really believes that they want what's best for children and that comes with understanding what is best for children now and in the future," explains Justin Aglio, Montour's director of K–4 academic achievement and K–12 innovation. "We know what we want our future to look like. We want a school where students are kind, where students are thinkers, where they have the advanced skills and strategies they need to achieve academically. You can't wish students will be kind five years from now, you have to design it."


Using Artificial Intelligence to determine whether immunotherapy is working

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Other authors on the paper were: Germán Corredor, Mehdi Alilou and Kaustav Bera from Biomedical Engineering, Case Western Reserve University; Pingfu Fu from Population and Quantitative Health Sciences, Case Western Reserve University; Amit Gupta of University Hospitals Cleveland Medical Center; Pradnya Patil of Cleveland Clinic; Priya D. Velu of Weill Cornell Medicine; Rajat Thawani of Maimonides Medical Center; Michael Feldman from Perelman School of Medicine of the University of Pennsylvania; and Vamsidhar Velcheti from NYU-Langone Medical Center.


AI Screening for Diabetic Retinopathy Moves to Retail Clinics

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Retail health clinics have been part of the trend in making healthcare more convenient, and now another option is being offered -- testing for diabetic retinopathy. However, an ophthalmologist won't make the diagnosis at the clinic; instead, it will be made by an artificial intelligence (AI) system called IDx-DR. Testing will be offered through CarePortMD, the first retail health clinic to adopt this type of AI diagnostic technology, and offered at clinics inside Albertsons grocery stores. The second largest grocery chain in the United States, Albertsons added five CarePortMD clinics to stores in Delaware and Pennsylvania this past year. "Ours is a hybrid model of telehealth plus the convenience and access of a retail clinic, with the scalability and opportunity to coordinate with telemedicine." said Ashok Subramanian, MD, the CEO of CarePortMD.


Machine Fault - Eos

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On a sturdy workbench in seismologist Chris Marone's lab on the fifth floor of the geosciences building at Pennsylvania State University (Penn State) sits a large steel-framed machine with thick hydraulic pistons that force metal blocks and plates to grind past each other under extreme pressure. When the device is running, Marone sometimes closes the door to the lab so the loud bangs of "laboratory earthquakes" do not disrupt people across the hall. Lately, however, it has been the quieter sounds emanating from the machine that have caused a disruption in the field of seismology. In a recent spate of studies, researchers applied machine learning to acoustic emission data from Marone's earthquake machine, as well as from natural faults. The work led to the discovery of a new relationship between a fault's acoustic emissions and its physical characteristics, including its frictional state, its displacement rate, and the timing and magnitude of its next failure.


AI Curricula for K-12 Classrooms

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Schools like those in the Pennsylvania Montour School District have mandated AI in the grades 5-8 curriculum, and they are expanded the initiative in other grades as well. Educators have embedded artificial intelligence in STEM courses, and other subjects like Music, Computer Science and Media Arts also include AI in their curricula. Additionally, the district requires their students to take a stand-alone AI Ethics course that teaches students design and values.


Siri Helps Rescue A Stroke Victim By Looking Up Address Of His Hotel

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GLóRIA DE DOURADOS, MATO GROSSO DO SUL, BRAZIL - 2019/08/19: In this photo illustration the Siri ... [ ] logo is displayed on a smartphone. In the early morning hours of October 2nd 2019, Duane Raible, a 52–year-old male traveling from Pennsylvania and staying at the Thompson Chicago Hotel, knew something wasn't right. He felt dizzy, his face was numb, and he recognized that he had difficulty speaking. He proceeded to call 9-1-1 on his smartphone for help. But the help he needed wasn't provided by the dispatcher.


Accessible Artificial Intelligence from Penn - Penn AI

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We are pleased to launch PennAI – an accessible artificial intelligence system and open-source software developed by at the University of Pennsylvania's Perelman School of Medicine by faculty, staff, and students from the Penn Institute for Biomedical Informatics (IBI). The components of PennAI include a human engine (i.e., the user); a user-friendly interface for interacting with the AI; a machine learning engine for data mining; a controller engine for launching jobs and keeping track of analytical results; a graph database for storing data and results (i.e., the memory); an AI engine for monitoring results and automatically launching or recommending new analyses; and a visualization engine to displaying results and analytical knowledge. This AI system provides a comprehensive set of integrated components for automated machine learning (AutoML), thus providing a data science assistant for generating useful results from large and complex data problems. More details can be found in our PennAI publications.


Michael Kearns: Algorithmic Fairness, Privacy, and Ethics in Machine Learning AI Podcast

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Michael Kearns is a professor at University of Pennsylvania and a co-author of the new book Ethical Algorithm that is the focus of much of our conversation, including algorithmic fairness, privacy, and ethics in general. But, that is just one of many fields that Michael is a world-class researcher in, some of which we touch on quickly including learning theory or theoretical foundations of machine learning, game theory, algorithmic trading, quantitative finance, computational social science, and more. This conversation is part of the Artificial Intelligence podcast. This episode is sponsored by Pessimists Archive podcast: https://pessimists.co/ OUTLINE: 0:00 - Introduction 2:45 - Influence from literature and journalism 7:39 - Are most people good?


A trash talking robot hurling 'mild insults' was able to put humans off their stride

Daily Mail - Science & tech

Trash talk has been part of sport and human competition for as long as people have been competitive, but now robots are getting in on the game. Researchers from Carnegie Mellon University, in Pittsburgh, Pennsylvania, programmed a robot called Pepper to use mild insults such as'you are a terrible player' and'your playing has become confused'. It would then use these insults while challenging a human to a game called'Guards and Treasures' that is designed to test rationality. Even though the robot used very mild language, the human player's performance got worse while they were being insulted, according to lead author Aaron M. Roth. The team say tests like this could help work out how humans will respond in future if a robot assistant disagrees with a command, such as over whether to buy healthy or unhealthy food.


Create an Ethics Committee to Keep Your AI Initiative in Check

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WITF-FM, a public radio, television, and online news broadcaster in central Pennsylvania, includes the following statement above select online news coverage: "WITF strives to provide nuanced perspectives from the most authoritative sources. We are on the lookout for biases or assumptions in our own work, and we invite you to point out any we may have missed." It's not uncommon for news organizations to invite comments and feedback from their audience; in fact, most encourage it. But WITF has gone above and beyond a general invitation for engagement. This statement highlights the potential for bias in their own reporting -- and their attempt to avoid it.