Icahn School of Medicine at Mount Sinai Unveils New PhD Concentration in Artificial Intelligence and Emerging Technologies in Medicine

The Graduate School of Biomedical Sciences at the Icahn School of Medicine at Mount Sinai will offer a new PhD concentration in Artificial Intelligence and Emerging Technologies in Medicine (AIET) as part of its PhD in Biomedical Sciences program. Hayit Greenspan, PhD and Alan C. Seifert, PhD are the newly appointed AIET Co-Directors. Application will be open from late August through December 1, 2021 for enrollment in the fall of 2022.

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8 Things Argonne is Doing to Save the Earth

Stepping into their superhero gear, Argonne scientists are using science and the world’s best technology to combat some of Earth’s toughest foes, from pollution to climate change.

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Evolution Sets the Stage for More Powerful Spiking Neural Networks

Spiking neural networks (SNNs) closely replicate the structure of the human brain, making them an important step on the road to developing artificial intelligence. Researchers recently advanced a key technique for training SNNs using an evolutionary approach. This approach involves recognizing and making use of the different strengths of individual elements of the SNN.

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Cervical Cancer Testing Tech Could Replace Pap Smears, Save Lives

Emerging technologies can screen for cervical cancer better than Pap smears and, if widely used, could save lives in areas where access to health care may be limited. In Biophysics Reviews, scientists at Massachusetts General Hospital write advances in nanotechnology and computer learning are among the technologies helping develop HPV screening that take the guesswork out of the precancer tests. That could mean better screening in places that lack highly trained doctors and advanced laboratories.

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Cleveland Clinic and IBM Unveil Landmark 10-Year Partnership to Accelerate Discovery in Healthcare and Life Sciences

Armonk, N.Y. and Cleveland, OH, March 30, 2021: Cleveland Clinic and IBM have announced a planned 10-year partnership to establish the Discovery Accelerator, a joint Cleveland Clinic – IBM center with the mission of fundamentally advancing the pace of discovery in healthcare and life sciences through the use of high performance computing on the hybrid cloud, artificial intelligence (AI) and quantum computing technologies.

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Game on: Science Edition

UPTON, NY — Inspired by the mastery of artificial intelligence (AI) over games like Go and Super Mario, scientists at the National Synchrotron Light Source II (NSLS-II) trained an AI agent — an autonomous computational program that observes and acts — how to conduct research experiments at superhuman levels by using the same approach. The Brookhaven team published their findings in the journal Machine Learning: Science and Technology and implemented the AI agent as part of the research capabilities at NSLS-II.

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Argonne’s 2021 Maria Goeppert Mayer Fellows bring new energy, promise to their fields

The Department of Energy’s Argonne National Laboratory is proud to welcome five new FY21 Maria Goeppert Mayer Fellows to campus, each chosen for their incredible promise in their respective fields.

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U.S. Department of Energy Announces $34.5 Million for Data Science and Computation Tools to Advance Climate Solutions

The U.S. Department of Energy (DOE) today announced up to $34.5 million to harness cutting-edge research tools for new scientific discoveries, including clean energy and climate solutions. Two new funding opportunities will support researchers using data science and computation-based methods—including artificial intelligence and machine learning—to tackle basic science challenges, advance clean energy technologies, improve energy efficiency, and predict extreme weather and climate patterns.

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Virtual Argonne workshop provides guidance on using AI and supercomputing tools for science

The Argonne Leadership Computing Facility continues its efforts to build a community of scientists who can employ AI and data-intensive analysis at a scale that requires DOE supercomputers.

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Sneak preview: New platform allows scientists to explore research environments virtually

The Department of Energy pledged $1.68 million to Argonne National Laboratory over three years so it can create a virtual platform or digital twin that will allow experimentalists to explore their proposed studies prior to visiting the labs.

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Argonne innovations and technology to help drive circular economy

In a collaborative effort to “recover, recycle and reuse,” Argonne strengthens research that addresses pollution, greenhouse gases and climate change and aligns with new policies for carbon emission reduction.

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Robots learn faster with quantum technology

Artificial intelligence is part of our modern life by enabling machines to learn useful processes such as speech recognition and digital personal assistants. A crucial question for practical applications is how fast such intelligent machines can learn. An experiment at the University of Vienna has answered this question, showing that quantum technology enables a speed-up in the learning process.

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FAU Researchers Receive Prestigious NSF CAREER Awards

Two researchers from FAU’s College of Engineering and Computer Science have received the coveted National Science Foundation (NSF) Early Career (CAREER) awards totaling more than $1 million. Xiangnan Zhong, Ph.D. and Zhen Ni, Ph.D., assistant professors in the Department of Computer and Electrical Engineering and Computer Science, received the NSF CAREER awards to drive the current artificial intelligence (AI) wave.

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Alexa, do I have an irregular heart rhythm? First AI system for contactless monitoring of heart rhythm using smart speakers

University of Washington researchers have developed a new skill for a smart speaker that for the first time monitors both regular and irregular heartbeats without physical contact.

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Radiology Societies Urge HHS to Reject Proposed Deregulation of Specific AI Software

In a March 5, 2021 letter from the American College of Radiology® (ACR®), Radiological Society of North America (RSNA) and Society for Imaging Informatics in Medicine (SIIM) urged US Department of Health and Human Services (HHS) officials to reject a “midnight” proposal by the immediate-past HHS Secretary to permanently exempt certain medical devices from the Food and Drug Administration’s (FDA) 510(k) premarket notification requirements.

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Argonne scientists help explain phenomenon in hardware that could revolutionize AI

A group of scientists from around the country, including those at Argonne National Laboratory, have discovered a way to make AI-related hardware more efficient and sustainable.

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The University of Utah and RenalytixAI Partner to drive innovation in kidney health

An artificial intelligence-enabled in vitro diagnostics company and the University of Utah today announced a partnership to improve kidney health and reduce the risk of kidney failure for large scale populations in the earliest stages of kidney disease.

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Measuring Hemoglobin Levels with AI Microscope, Microfluidic Chips

A complete blood count can help ascertain the health of a patient and typically includes an estimate of the hemoglobin concentration, which can indicate several conditions, including anemia, polycythemia, and pulmonary fibrosis. In AIP Advances, researchers describe a new AI-powered imaging-based tool to estimate hemoglobin levels. The setup was developed in conjunction with a microfluidic chip and an AI-powered automated microscope that was designed for deriving the total as well as differential counts of blood cells.

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GW Receives Funding to Develop Artificial Intelligence Systems Aimed at Helping People with Health Problems Drive Safely

Samer Hamdar, an associate professor of civil and environmental engineering at the George Washington University, is partnering with Moment AI to launch a project aimed at developing AI systems that could one day prevent health-induced traffic accidents, including those linked to stress.

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A Cheap, Potent Pathway to Pandemic Therapeutics

By capitalizing on a convergence of chemical, biological and artificial intelligence advances, scientists have developed an unusually fast and efficient method for discovering tiny antibody fragments with big potential for development into therapeutics against deadly diseases.

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COVID, CAMERAS and AI: the story of a pandemic drone

As the COVID-19 death toll mounts and the world hangs its hopes on effective vaccines, what else can we do to save lives in this pandemic? In UniSA’s case, design world-first technology that combines engineering, drones, cameras, and artificial intelligence to monitor people’s vital health signs remotely.

In 2020 the University of South Australia joined forces with the world’s oldest commercial drone manufacturer, Draganfly Inc, to develop technology which remotely detects the key symptoms of COVID-19 – breathing and heart rates, temperature, and blood oxygen levels.

Within months, the technology had moved from drones to security cameras and kiosks, scanning vital health signs in 15 seconds and adding social distancing software to the mix.

In September 2020, Alabama State University became the first higher education institution in the world to use the technology to spot COVID-19 symptoms in its staff and students and enforce social distancing, ensuring they had one of the l

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New machine learning theory that can be applied to fusion energy raises questions about the very nature of science

A novel computer algorithm, or set of rules, that accurately predicts the orbits of planets in the solar system could be adapted to better predict and control the behavior of the plasma that fuels fusion facilities designed to harvest on Earth the fusion energy that powers the sun and stars.

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Seventeen from Argonne recognized with Secretary of Energy’s Honor Awards

Six groups that included seventeen scientists from the U.S. Department of Energy’s (DOE) Argonne National Laboratory were recent recipients of the DOE’s 2020 Secretary of Energy’s Honor Awards.

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Supercomputers Help Advance Computational Chemistry

Researchers at the Massachusetts Institute of Technology (MIT) have succeeded in developing an artificial intelligence (AI) approach to detect electron correlation – the interaction between a system’s electrons – which is vital but expensive to calculate in quantum chemistry.

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Wayne State research team developing AI model to aid in early detection of SARS-CoV2 in children

Currently, there are no methods to discern the spectrum of COVID-19’s severity and predict which children with SARS-CoV-2 exposure will develop severe illness, including MIS-C. Because of this, there is an urgent need to develop a diagnostic modality to distinguish the varying phenotypes of disease and risk stratify disease.

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Research News Tip Sheet: Story Ideas from Johns Hopkins Medicine

During the COVID-19 pandemic, Johns Hopkins Medicine Media Relations is focused on disseminating current, accurate and useful information to the public via the media. As part of that effort, we are distributing our “COVID-19 Tip Sheet: Story Ideas from Johns Hopkins” every other Tuesday.

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$500,000 grant funds creation of institute to advance AI for materials science

Funds from an NSF $500,000 grant will be used to bring together an interdisciplinary team of researchers with complementary expertise in artificial intelligence (AI) and material science to lay the groundwork for an AI-Enabled Materials Discovery, Design, and Synthesis (AIMS) Institute.

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