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FAU Awarded U.S. Air Force Office of Scientific Research Grant for AI

#artificialintelligence

Dimitris A. Pados, Ph.D., principal investigator, a professor in the Department of Computer and Electrical Engineering and Computer Science, a fellow of FAU's Institute for Sensing and Embedded Network Systems Engineering (I-SENSE), the Charles E. Schmidt Eminent Scholar in Engineering and Computer Science, and director of the Center for Connected Autonomy and Artificial Intelligence. Ensuring data quality is critical for artificial intelligence (AI) machines to learn effectively and operate efficiently and safely. Researchers from Florida Atlantic University's College of Engineering and Computer Science have received a three-year, $653,393 grant from the United States Air Force Office of Scientific Research (AFOSR) for a project titled, "Data Analytics and Data Conformity Evaluation with L1-norm Principal Components." For the project, researchers will develop new theory and methods to curate training data sets for AI learning and screen real-time operational data for AI field deployment. The project team is spearheaded by Dimitris A. Pados, Ph.D., principal investigator, a professor in the Department of Computer and Electrical Engineering and Computer Science, a fellow of FAU's Institute for Sensing and Embedded Network Systems Engineering (I-SENSE), the Charles E. Schmidt Eminent Scholar in Engineering and Computer Science, and director of the Center for Connected Autonomy and Artificial Intelligence (ca-ai.fau.edu)


NASA releases never-before-seen pictures of Bennu, an asteroid that may hold the building blocks of life

FOX News

Fox News Flash top headlines are here. Check out what's clicking on Foxnews.com. Following Tuesday's historic touchdown on the asteroid Bennu, NASA has released never-before-seen images of the OSIRIS-REx spacecraft kicking up rocks and debris on the space rock's surface. The images are from the point in time when OSIRIS-REx approached and touched down on the surface of Bennu, which is more than 200 million miles from Earth. "The spacecraft's sampling arm – called the Touch-And-Go Sample Acquisition Mechanism (TAGSAM) – is visible in the lower part of the frame," NASA wrote on its website.


Incredible photos reveal the moment NASA's OSIRIS-Rex made historic touchdown on asteroid Bennu

Daily Mail - Science & tech

Stunning images taken from the historic OSIRIS-REx mission show the moment the spacecraft touched down on the asteroid Bennu more than 200 million miles away from Earth to collect a sample of dirt and dust Tuesday night. On Wednesday NASA unveiled videos and images showing the moment the spacecraft pulled off the six-second touch-and-go (TAG) mission where it bounced off the asteroid's surface and picked up samples along the way. The triumphant $1.16 billion mission is the first American effort to take a sample from an asteroid with the hopes to unlock secrets about the origin of life on Earth. The sample will be returned to Earth in 2023. The images show how the spacecraft descended within three feet of the target landing spot dubbed Nightingale on the asteroid while avoiding boulders the size of buildings.


Parliament leads the way on first set of EU rules for Artificial Intelligence

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The European Parliament is among the first institutions to put forward recommendations on what AI rules should include with regards to ethics, liability and intellectual property rights. These recommendations will pave the way for the EU to become a global leader in the development of AI. The Commission legislative proposal is expected early next year. The legislative initiative by Iban García del Blanco (S&D, ES) urges the EU Commission to present a new legal framework outlining the ethical principles and legal obligations to be followed when developing, deploying and using artificial intelligence, robotics and related technologies in the EU including software, algorithms and data. It was adopted with 559 votes in favour, 44 against, and 88 abstentions.


NASA says images suggest 'success' in asteroid sample collection

The Japan Times

WASHINGTON – The U.S. space agency said Wednesday that it likely succeeded in collecting samples through a spacecraft touchdown on asteroid Bennu a day earlier, based on images that captured the activities. "Everything that we can see from these initial images indicates sampling success," Dante Lauretta, a University of Arizona scientist who leads NASA's OSIRIS-REx mission, told an online news conference, although noting that verification activities will continue. As part of the first U.S. mission to carry samples from an asteroid back to Earth, the OSIRIS-REx spacecraft on Tuesday unfurled its robotic arm to touch the surface of Bennu for six seconds, according to NASA. Images unveiled Wednesday showed the disk-shaped sample collector attached at the end of the arm making contact with the surface of the asteroid and crushing some rocks underneath it. The collector, which is 30 centimeters in diameter, then fired nitrogen gas to stir up and lift rocks and dust for capture.


Can We Trust the Presidential-Election Polls?

The New Yorker

On October 18, 2016, the New York Times gave Hillary Clinton a ninety-one-per-cent chance of beating Donald Trump. Five days later, ABC News released a tracking poll showing her ahead of Trump by twelve points. Buoyed by the polls, Democrats--especially Democratic women--approached November 8th with a joyful sense of inevitability. The collective disbelief when Clinton lost was tinged with confusion: How could the pollsters have been so wrong? Now, with Joe Biden leading Trump by double digits in the lead-up to Election Day, according to the latest NPR/PBS NewsHour/Marist survey, the question has to be asked: Are voters hoping for a Biden victory about to fall in the same trap?


Artificial intelligence and the antitrust case against Google

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Following the launch of investigations last year, the U.S. Department of Justice (DOJ) together with attorney generals from 11 U.S. states filed a lawsuit against Google on Tuesday alleging that the company maintains monopolies in online search and advertising, and violates laws prohibiting anticompetitive business practices. It's the first antitrust lawsuit federal prosecutors filed against a tech company since the Department of Justice brought charges against Microsoft in the 1990s. "Back then, Google claimed Microsoft's practices were anticompetitive, and yet, now, Google deploys the same playbook to sustain its own monopolies," the complaint reads. "For the sake of American consumers, advertisers, and all companies now reliant on the internet economy, the time has come to stop Google's anticompetitive conduct and restore competition." Attorneys general from no Democratic states joined the suit.


Researchers find evidence of racial, gender, and socioeconomic bias in chest X-ray classifiers

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Google and startups like Qure.ai, Aidoc, and DarwinAI are developing AI and machine learning systems that classify chest X-rays to help identify conditions like fractures, collapsed lungs, and fractures. Several hospitals including Mount Sinai have piloted computer vision algorithms that analyze scans from patients with the novel coronavirus. But research from the University of Toronto, the Vector Institute, and MIT reveals that chest X-ray datasets used to train diagnostic models exhibit imbalance, biasing them against certain gender, socioeconomic, and racial groups. Partly due to a reticence to release code, datasets, and techniques, much of the data used today to train AI algorithms for diagnosing diseases may perpetuate inequalities. A team of U.K. scientists found that almost all eye disease datasets come from patients in North America, Europe, and China, meaning eye disease-diagnosing algorithms are less certain to work well for racial groups from underrepresented countries.


Aidoc's 6th FDA clearance for AI Solution

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Aidoc announced today that the US Food and Drug Administration (FDA) has given regulatory clearance for the commercial use of its triaging and notification algorithms for flagging and communicating incidental pulmonary embolism . Flagging incidental, critical findings is a huge technical challenge due to the varied imaging protocols used and lower incidences of such cases. The ability to prioritize incidental critical conditions accurately is a breakthrough in the value AI can bring to the radiologist workflow. "The most common use case we experienced is for critical unsuspected findings in oncology surveillance patients" said Dr. Cindy Kallman, Chief, Section of CT at Cedars-Sinai Medical Center. "The ability to call the referring physician while the patient is still in the house is huge. We are essentially offering a point-of-care diagnosis of PE for our outpatients. Our referring physicians have been completely wowed by this."


Digital fortress: 5G is a weapon in national defense

ZDNet

Amateurs talk strategy, professionals talk logistics. In the 2020s, that old chestnut should probably be updated: "Professionals talk about the network." And boy are they talking. The U.S. government will be one of the biggest spenders on private 5G infrastructure, and the Department of Defense leads the pack. DoD's growing network demands include connecting in-field technology as well as supporting day-to-day base operations and force training.