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Iowa State part of US National Science Foundation newly established artificial intelligence …

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One of the 11 institutes, called the AI Institute for Intelligent Cyberinfrastructure with Computational Learning in the Environment (ICICLE), is led by The …


DARPA Now Has AI-Controlled F-16s Working As A Team In Virtual Dogfights

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So far, ACE has demonstrated advanced virtual AI dogfights involving both within-visual-range (WVR) and beyond-visual-range (BVR) multi-aircraft scenarios with simulated weapons, plus live flying using an instrumented jet to measure pilot physiology and trust in AI. Throughout the ACE program, which began last year, DARPA has stressed the importance of establishing human pilots' trust in AI, allowing it to conduct the actual combat maneuvers while the human concentrates on overarching battle management decisions. The process of "capturing trust data" has seen test pilots fly in an L-29 Delfin jet trainer at the University of Iowa Technology Institute's Operator Performance Laboratory. This aircraft has been adapted with cockpit sensors to measure the pilot's physiological responses, giving an insight into whether or not the pilot trusts the AI. In these missions, the L-29 has been flown by a safety pilot in the front seat, who makes flight control inputs based on AI decisions.


Trade groups offering $100,000 reward after noose found at Facebook data center

USATODAY - Tech Top Stories

The FBI and Justice Department are assisting the Altoona Police Department's investigation after a noose was found last month at a work site on the Facebook Data Center property in Altoona, Iowa. Altoona police officials say they contacted the FBI on June 19, the day the noose was found. The date coincided with Juneteenth, the annual holiday celebrating the end of slavery. Interviews are still being conducted in the investigation, according to Altoona Police Department Public Information Officer Alyssa Wilson. While federal investigators were already involved with the incident, as of Thursday, all information in the case will be filtered through the FBI's Omaha office.


DOE Announces $15 Million for Development of AI and Machine Learning Tools - DATAVERSITY

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According to a recent press release, "Today, the U.S. Department of Energy's (DOE's) Advanced Research Projects Agency-Energy (ARPA-E) announced $15 million in funding for 23 projects to accelerate the incorporation of machine learning and artificial intelligence into the energy technology and product design processes as part of the Design Intelligence Fostering Formidable Energy Reduction (and) Enabling Novel Totally Impactful Advanced Technology Enhancements (DIFFERENTIATE) program. Launched in April of this year, the DIFFERENTIATE program aims to develop streamlined solutions to next-generation energy challenges. The program identified three general mathematical optimization problems that are common to many design processes. The selected projects then conceptualized machine learning and artificial intelligence-based solutions to help engineers execute and solve these problems in a manner that dramatically accelerates the pace of energy innovation." The release goes on, "Following the initial round of Phase I funding for the DIFFERENTIATE program, additional funding will be available to qualifying awardees at a future date… DIFFERENTIATE projects include: Iowa State University – Ames, Iowa. Iowa State University will develop machine learning tools to accelerate the inverse design of new microstructures in photovoltaics. The team will create a new deep generative model to combat challenges in real-world inverse design problems. The proposed inverse design tools, if successful, will produce novel, manufacturable material microstructures with improved electromagnetic properties relative to existing technology."


Chasing storm data: machine learning looks for useful data in U.S. thunderstorm reports

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Newswise -- AMES, Iowa – Bill Gallus has been known to chase a summer storm or two. But he didn't have to go after this one. On July 17, 2019, a thunderstorm approached the Iowa State University campus. Gallus, a professor of geological and atmospheric sciences, headed to the roof above his office in the Agronomy Building. And he didn't forget a camera.


AI Tool Detects Diabetes-Related Eye Condition Without Human Interpretation - AI Trends

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Last year, IDx-DR became the first-ever so-called "autonomous AI" system cleared by the FDA to provide a screening decision without the oversight of a doctor. Since then, IDx Technologies, the company behind the product, has begun to roll out this tool designed to detect diabetic retinopathy. Over 30 million people are living with diabetes in the US alone. "The disease itself is bad," said Michael Abramoff, a University of Iowa ophthalmologist and computer scientist, "but the complications make it even worse." One of those complications is diabetic retinopathy, the leading cause of blindness in American adults.


Machine learning in agriculture: Scientists are teaching computers to diagnose soybean stress

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Iowa State University scientists are working toward a future in which farmers can use unmanned aircraft to spot, and even predict, disease and stress in their crops. Their vision relies on machine learning, an automated process in which technology can help farmers respond to plant stress more efficiently. Arti Singh, an adjunct assistant professor of agronomy, is leading a multi-disciplinary research team that recently received a three-year, $499,845 grant from the U.S Department of Agriculture's National Institute of Food and Agriculture to develop machine learning technology that could automate the ability of farmers to diagnose a range of major stresses in soybeans. The technology under development would make use of cameras attached to unmanned aerial vehicles, or UAVs, to gather birds-eye images of soybean fields. A computer application would automatically analyze the images and alert the farmer of trouble spots.


Machine learning in agriculture: scientists are teaching computers to diagnose soybean stress

#artificialintelligence

AMES, Iowa - Iowa State University scientists are working toward a future in which farmers can use unmanned aircraft to spot, and even predict, disease and stress in their crops. Their vision relies on machine learning, an automated process in which technology can help farmers respond to plant stress more efficiently. Arti Singh, an adjunct assistant professor of agronomy, is leading a multi-disciplinary research team that recently received a three-year, $499,845 grant from the U.S Department of Agriculture's National Institute of Food and Agriculture to develop machine learning technology that could automate the ability of farmers to diagnose a range of major stresses in soybeans. The technology under development would make use of cameras attached to unmanned aerial vehicles, or UAVs, to gather birds-eye images of soybean fields. A computer application would automatically analyze the images and alert the farmer of trouble spots.


Incredible footage shows the immense power of NASA's Orion rocket engines

Daily Mail - Science & tech

Incredible footage released by NASA has revealed the space agency's attempts to push its Orion spacecraft's engines to their limits, ahead of a planned 2024 manned mission to the moon dubbed Artemis. In the latest of an on-going series of tests, engineers conducted a continuous 12-minute firing of Orion's propulsion system. Orion is a capsule designed to carry humans to the moon and bring them back safely and the test simulated an abort-to-orbit scenario, in which the second stage of NASA's Space Launch System (SLS) rocket fails. Maggot leaps itself into the air'to catapult to safety' Samsung unveils Galaxy Note10's S Pen that offers greater control Huawei unveils its new'Harmony' phone operating system'Choose truth over facts!' Biden flubs line in Iowa speech Incredible footage released by NASA has revealed the space agency's attempts to push its Orion spacecraft's engines to their limits (pictured), ahead of a planned 2024 manned mission to the moon dubbed Artemis Under ideal conditions the SLS rocket would blast the Orion spacecraft - which will carry astronauts and their supplies - into orbit around the moon. Part of this process involves the interim cryogenic propulsion stage (ICPS) firing, blasting the Orion capsule away from the rocket behind it.


30 DeepTech News Briefs

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Please click the subscribe button at the top of this article to have articles in our DeepTech series delivered directly to you each week. Researchers at Iowa State University designed an AI system to create personalized prosthetic aortic heart valves. These customized valves can restore normal blood flow for people with aortic valvular disease. Over 90,000 people in the US have valve replacement surgery every year. Traditional drug discovery is a very long and expensive process involving many tests to determine the safety and efficacy of each new drug candidate.