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UrduScientists report a novel noninvasive treatment for brain disorders based on breakthroughs in both optics and genetics. It involves stimulation of neurons by means of radioluminescent nanoparticles injected into the brain and exposed to X-rays.
Tag: Artificial Intelligence
Argonne researchers aim to solve problems for the world’s freshwater supply
Argonne National Laboratory is partnering with industry, government, academia and others to solve problems with the nation’s water system, with wide-ranging benefits for the U.S. economy.
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.
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.
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.
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.
Artificial Intelligence Calculates Suicide Attempt Risk
A machine learning algorithm that predicts suicide attempt recently underwent a prospective trial at the institution where it was developed, Vanderbilt University Medical Center.
More Intelligent Medicine
Leaders in biomedical informatics and medicine discuss ways to optimize the integration of AI in clinical medicine
FAU Unveils Center for Connected Autonomy and Artificial Intelligence
To rapidly advance the field of artificial intelligence and autonomy, FAU’s College of Engineering and Computer Science recently unveiled its “Center for Connected Autonomy and Artificial Intelligence.”
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.
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.
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.
Someone to watch over AI and keep it honest – and it’s not the public!
The public doesn’t need to know how Artificial Intelligence works to trust it. They just need to know that someone with the necessary skillset is examining AI and has the authority to mete out sanctions if it causes or is likely to cause harm.
New AI approach enables research collaboration while protecting patient privacy
Dr. Corey Arnold and his graduate student, Karthik Sarma, explain how federated learning can enable more powerful AI models while enhancing the protection of patient data
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.
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.
Explainable AI: A Must for Nuclear Nonproliferation, National Security
Understanding the choices and recommendations of artificial intelligence systems is crucial, especially when the stakes are high, as they are with national security issues like nuclear nonproliferation. A PNNL team is using explainable AI to further the effectiveness of AI systems.
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.
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.
DHS S&T Awards Arlington, MA, Based Start-up Funding for Self-Screening TSA Checkpoints
DHS S&T SVIP announces $199,950 in Phase 1 funding to Lauretta AI, LLC, a start-up based in Arlington, Massachusetts, to adapt their video analytic solution to meet TSA’s needs.
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.
Deep learning may help doctors choose better lung cancer treatments
Doctors and healthcare workers may one day use a machine learning model, called deep learning, to guide their treatment decisions for lung cancer patients, according to a team of Penn State Great Valley researchers.
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.
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
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.
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.
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.
New Queen’s scholarship opportunities will explore impact of AI on science and society
Thirty funded postdoctoral scholarships announced by Queen’s University Belfast are set to provide a unique opportunity to explore the challenges of Artificial intelligence (AI) for every area of science and society.
‘Audeo’ teaches artificial intelligence to play the piano
A University of Washington team created Audeo, a system that can generate music using only visual cues of someone playing the piano.
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.
Free, online course brings together 20 global experts in the field of ethical AI
A new, free, online course, AI Ethics: Global Perspectives, which started this week, designed for a global audience, seeks to bring together diverse perspectives from the field of ethical AI, to raise awareness and help institutions work towards more responsible use.
Researchers Create Novel Photonic Chip
Researchers at the George Washington University and University of California, Los Angeles, have developed and demonstrated for the first time a photonic digital to analog converter without leaving the optical domain. Such novel converters can advance next-generation data processing hardware…
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.
SLAS Technology Special Collection on Artificial Intelligence in Process Automation Available Now
The February edition of SLAS Technology is a special collection of articles focused on “Artificial Intelligence in Process Automation” by Guest Editor Cenk Ündey, Ph.D. (Amgen, Thousand Oaks, CA, USA).
Computer model makes strides in search for COVID-19 treatments
A new deep-learning model that can predict how human genes and medicines will interact has identified at least 10 compounds that may hold promise as treatments for COVID-19.
$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.
Making solar power more efficient
Case Western Reserve University computer scientists and energy technology experts are teaming up to leverage the diagnostic power of artificial intelligence (AI) to make solar-power plants more efficient.
AI chess engine sacrifices mastery to mimic human play
A team of computer scientists has developed an artificially intelligent chess engine that doesn’t necessarily seek to beat humans – it’s trained to play like a human.
How UVA Created Artificial Intelligence to Watch Over Patients With COVID-19
A UVA physician’s software that monitors patients to predict clinical problems is helping COVID patients.
When a Story is Breaking, AI Can Help Consumers Identify Fake News
Warnings about misinformation are now regularly posted on social media platforms, but not all of these cautions are created equal. New research from Rensselaer Polytechnic Institute shows that artificial intelligence can help form accurate news assessments — but only when a news story is first emerging.
NeuroReality™: The Future of Telepresence
Dustin Tyler, Founder of Human Fusions Institute at Case Western Reserve University in Cleveland, Ohio, and Shelly Palmer, CEO of The Palmer Group, discuss Human Fusions Institute, NeuroReality™, and the future of human-tech relationships in a virtual meeting.
The Feeling Economy: How AI is Creating the Era of Empathy
As machines are trained to “think,” many tasks that previously required human intelligence are becoming automated through artificial intelligence. However, human workers have a competitive advantage: It is more difficult to automate emotional intelligence.
Jefferson Lab Launches Virtual AI Winter School for Physicists
Artificial intelligence is a game-changer in nuclear physics, able to enhance and accelerate fundamental research and analysis by orders of magnitude. DOE’s Jefferson Lab is exploring the expanding synergy between nuclear physics and computer science as it co-hosts together with The Catholic University of America and the University of Maryland a virtual weeklong series of lectures and hands-on exercises Jan. 11-15 for graduate students, postdoctoral researchers and even “absolute beginners.”
Advanced tools reveal critical infrastructure connections and help mitigate disasters
A cross-platform Argonne collaboration is optimizing a tool developed after Hurricane Maria to find essential connections between critical infrastructure that will help owners and operators plan for and mitigate a variety of potential hazards.
Robot Displays a Glimmer of Empathy to a Partner Robot
Like a longtime couple who can predict each other’s every move, a Columbia Engineering robot has learned to predict its partner robot’s future actions and goals based on just a few initial video frames. The study, conducted at Columbia Engineering’s Creative Machines Lab led by Mechanical Engineering Professor Hod Lipson, is part of a broader effort to endow robots with the ability to understand and anticipate the goals of other robots, purely from visual observations.
10 ways Argonne science is combatting COVID-19
Argonne scientists and research facilities have made a difference in the fight against COVID-19 in the year since the first gene sequence for the virus was published.
Initiative to employ AI in behavioral health monitoring
Behavioral health issues like depression and bipolar disorder don’t often manifest with the kinds of clear, outward symptoms that presage the common cold. But technologies such as smartphones and smartwatches could be used to detect subtle changes in behavior and help willing individuals – in coordination with their doctors – better monitor and manage their conditions.
UCI researchers use deep learning to identify gene regulation at single-cell level
Irvine, Calif., Jan. 5, 2021 — Scientists at the University of California, Irvine have developed a new deep-learning framework that predicts gene regulation at the single-cell level. Deep learning, a family of machine-learning methods based on artificial neural networks, has revolutionized applications such as image interpretation, natural language processing and autonomous driving.
Machine Learning Improves Particle Accelerator Diagnostics
Operators of Jefferson Lab’s primary particle accelerator are getting a new tool to help them quickly address issues that can prevent it from running smoothly. The machine learning system has passed its first two-week test, correctly identifying glitchy accelerator components and the type of glitches they’re experiencing in near-real-time. An analysis of the results of the first field test of the custom-built machine learning system was recently published in the journal Physical Review Accelerators and Beams.
Using artificial intelligence to find new uses for existing medications
Scientists have developed a machine-learning method that crunches massive amounts of data to help determine which existing medications could improve outcomes in diseases for which they are not prescribed.