How a Minecraft Mod is Helping Build Smarter AI

Polycraft World, a modification of the video game Minecraft, was developed by University of Texas at Dallas researchers to teach chemistry and engineering. Now the game that allows players to build virtual worlds is serving as the foundation for federal research to develop smarter artificial intelligence (AI) technology.
UT Dallas researchers received a grant from the Defense Advanced Research Projects Agency (DARPA) to use Polycraft World to simulate dynamic and unexpected events that can be used to train AI systems — computer systems that emulate human cognition — to adapt to the unpredictable. The simulated scenarios could include changing weather or unfamiliar terrain. In response to the COVID-19 pandemic, researchers have added the threat of an infectious disease outbreak.

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General Electric Healthcare Chooses UH to Clinically Evaluate First-of-its-kind Imaging System

University Hospitals Cleveland Medical Center physicians completed evaluation for the GE Healthcare Critical Care Suite, and the technology is now in daily clinical practice – flagging between seven to 15 collapsed lungs per day within the hospital. No one on the team could have predicted the onset of the COVID-19 pandemic, but this technology and future research with GEHC may enhance the capability to improve care for COVID-19 patients in the ICU. Critical Care Suite is now assisting in COVID and non-COVID patient care as the AMX 240 travels to intensive care units within the hospital.

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The Eye, The Brain & The Auto: Call for Research Abstracts from Healthcare and Automotive Experts

The Detroit Institute of Ophthalmology, the research arm of the Henry Ford Health System Department of Ophthalmology, is accepting abstracts for The Eye, The Brain & The Auto 9th World Research Congress on Health and Modern Mobility: Autonomous Vehicles, Driver’s Fitness to Function, and Naturalistic Driving Methods to be held Dec. 7-8, 2020. This will be a virtual event.

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What If People Use Autonomous Vehicles To Do Bad Things?

There’s a fairly large flaw in the way that programmers are currently addressing ethical concerns related to artificial intelligence and autonomous vehicles (AVs). Namely, existing approaches don’t account for the fact that people might try to use the AVs to do something bad.

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Research reflects how AI sees through the looking glass

Intrigued by how reflection changes images in subtle and not-so-subtle ways, a team of Cornell University researchers used artificial intelligence to investigate what sets originals apart from their reflections. Their algorithms learned to pick up on unexpected clues such as hair parts, gaze direction and, surprisingly, beards – findings with implications for training machine learning models and detecting faked images.

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Department of Energy awards $3.15 million to Argonne to support collaborations with industry

The U.S. Department of Energy (DOE) announced more than $33 million in funding for 82 projects aimed at advancing commercialization of promising energy technologies and strengthening partnerships between DOE’s National Laboratories and private-sector companies.

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National Science Foundation Awards $5 Million to Develop Innovative AI Resource

The NSF has awarded the San Diego Supercomputer Center (SDSC) at UC San Diego a $5 million grant to develop a high-performance resource for conducting artificial intelligence (AI) research across a wide swath of science and engineering domains.

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An ethical eye on AI – new mathematical idea reins in AI bias towards making unethical and costly commercial choices

Researchers from the University of Warwick, Imperial College London, EPFL (Lausanne) and Sciteb Ltd have found a mathematical means of helping regulators and business manage and police Artificial Intelligence systems’ biases towards making unethical, and potentially very costly and damaging commercial choices – an ethical eye on AI.

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X-ray vision and eavesdropping ensure quality

With an X-ray experiment at the European Synchrotron ESRF in Grenoble (France), Empa researchers were able to demonstrate how well their real-time acoustic monitoring of laser weld seams works. With almost 90 percent reliability, they detected the formation of unwanted pores that impair the quality of weld seams. Thanks to a special evaluation method based on artificial intelligence (AI), the detection process is completed in just 70 milliseconds.

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Researchers Design COVID-19 Knowledge Base and Risk Assessment Tool Powered by Artificial Intelligence

Researchers are creating a knowledge base that includes information for modeling outbreak and mutation of COVID-19, which will serve as a benchmark for better understanding the spread of the virus. They also are developing a multi-source deep neural network-based predictive tool to combine demographics, policies, regional infections, and individual information for risk evaluation using graph/network to represent entities and their relationships. The entities are fully compatible to the Unified Medical Language System standard for convenient knowledge sharing.

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