Starting October 25, a group of scientists will host a workshop to identify ways to create artificial intelligence-informed models of the Earth’s climate.
Researchers led by Jeffrey Skolnick have designed a new AI-based “decision prioritization tool” that combines data on protein pathways with common Covid-19 side effects and known patient comorbidities. The tool offers possible targeted treatment options with existing FDA-approved drugs to foster better health outcomes for individuals fighting Covid-19.
Lawrence Livermore National Laboratory has joined the international Human Vaccines Project, bringing Lab expertise and computing resources to the consortium to aid development of a universal coronavirus vaccine and improve understanding of immune response.
Researchers reporting in ACS Nano have developed a dynamic respirator that modulates its pore size in response to changing conditions, such as exercise or air pollution levels, allowing the wearer to breathe easier when the highest levels of filtration are not required.
Chuck Stewart, an expert in the ecological applications of computer vision, is part of the newly created Imageomics Institute, founded with a $15 million grant from the National Science Foundation to use images of living organisms to understand biological processes.
We are constantly surrounded by screens that offer us information on the weather, current events or the latest offers from the corner shop. Yet most displays are updated manually, if at all. Researchers at Aalto University and the Finnish Center for Artificial Intelligence FCAI have developed a new, simpler way to choose and arrange public display content so that it really catches people’s attention.
At the 2021 AACC Annual Scientific Meeting & Clinical Lab Expo, laboratory medicine experts will present the cutting-edge research and technology that is revolutionizing clinical testing and patient care.
A computer program trained to see patterns among thousands of breast ultrasound images can aid physicians in accurately diagnosing breast cancer, a new study shows.
Argonne researchers are mapping the complex tangle of the brain’s connections — a connectome — by developing applications that will find their stride in the advent of exascale computing.
Researchers are developing artificial intelligence that could assess climate change tipping points. The deep learning algorithm could act as an early warning system against runaway climate change.
Scientists have developed a method using machine learning to better analyze data from a powerful scientific tool: nuclear magnetic resonance (NMR). One way NMR data can be used is to understand proteins and chemical reactions in the human body. NMR is closely related to magnetic resonance imaging (MRI) for medical diagnosis.
The EVONANO platform allows scientists to grow virtual tumours and use artificial intelligence to automatically optimise the design of nanoparticles to treat them.
Sepsis occurs when the body works so hard to fight an infection that the immune system injures the patient’s own tissues. Detecting sepsis early and delivering antibiotics promptly is key to saving lives. UC San Diego Health researchers developed an…
Abstract Background Advances in healthcare artificial intelligence (AI) are occurring rapidly and there is a growing discussion about managing its development. Many AI technologies end up owned and controlled by private entities. The nature of the implementation of AI could…
Addenbrooke’s Hospital in Cambridge along with 20 other hospitals from across the world and healthcare technology leader, NVIDIA, have used artificial intelligence (AI) to predict Covid patients’ oxygen needs on a global scale.
The U.S. Department of Energy (DOE) announced $1 million for a one-year collaborative research project to develop artificial intelligence (AI) and machine learning (ML) algorithms for biomedical, personal healthcare, or other privacy-sensitive datasets.
One of the frequently used methods to monitor endangered whales is called passive acoustics technology, which doesn’t always perform well.
For artificial intelligence to get any smarter, it needs first to be as intelligent as one of the simplest creatures in the animal kingdom: the sea slug.
Researchers are developing a robot that utilizes deep learning to automate certain aspects of the peach cultivation process, which could be a boon for many Georgia peach farms grappling with a shortage of workers. The self-navigating robot uses an embedded 3D camera to determine which trees need to be pruned or thinned, and removes the branches or peaches using a claw-like device attached to its arm.
Before developing his famed “drip technique,” abstract artist Jackson Pollock dabbled in drawing, print making and surrealist paintings of humans, animals and nature.
The U.S. Department of Energy (DOE) announced $16 million for five collaborative research projects to develop artificial intelligence (AI) and machine learning (ML) algorithms for enabling scientific insights and discoveries from data generated by computational simulations, experiments, and observations.
Cedars-Sinai Cancer and Tempus, a leader in artificial intelligence and precision medicine, are harnessing the power of big data and AI to design personalized cancer treatment options by creating virtual replicas of patients’ DNA, RNA, protein and other information to help identify the most effective approach to each individual’s disease.
Unbound Medicine announced an upgrade to Grasp, their personal mobile study system. This latest version utilizes Unbound Intelligence, exclusive artificial intelligence and machine learning tools developed to help clinicians discover and fill knowledge gaps, as well as keep up to date with research.
The U.S. Department of Energy (DOE) recently awarded nearly $54 million to 10 new microelectronics research projects. Scientists Supratik Guha and Valerie Taylor at DOE’s Argonne National Laboratory will lead two of these projects.
PNNL commemorates 9/11 and reflects on the 20 years of science and technology produced since to protect against threats and make America safer.
A voluntary AirBnb pricing algorithm substantially narrowed a pre-existing revenue gap between white and Black hosts, a new study has found – but only when Black hosts adopted it.
A new AI (artificial intelligence) tool is set to enable scientists to more accurately forecast Arctic sea ice conditions months into the future.
Researchers asked participants about their personal driving behaviors such as speed, changing lanes, accelerating and decelerating and passing other vehicles. They also asked them the same questions about their expectations of a self-driving car performing these very same tasks. The objective of the study was to examine trust and distrust to see if there is a relationship between an individual’s driving behaviors and how they expect a self-driving car to behave.
Argonne and HPE unveiled a new testbed supercomputer that will enable scientists and developers to test and optimize software codes and applications for the forthcoming exascale supercomputer, Aurora.
Facial recognition is now common in adults, but University of South Australia researchers have developed software that can reliably detect a premature baby’s face in an incubator and remotely monitor its heart and breathing rates, rivalling ECG machines and even outperforming them. This is the first step in using non-contact monitoring in neonatal wards, avoiding skin tearing and potential infections from adhesive pads.x
The Korea Institute of Civil Engineering and Building Technology (KICT) has announced the development of an ‘AI-based automatic pothole detection system’.
Music artists can find inspiration and new creative directions for their song writing with technology developed by Waterloo researchers.
A new study shows that artificial intelligence networks based on human brain connectivity can perform cognitive tasks efficiently.
Scientists at Case Western Reserve University have used Artificial Intelligence (AI) to identify new biomarkers for breast cancer that can predict whether the cancer will return after treatment—and which can be identified from routinely acquired tissue biopsy samples of early-stage breast cancer.
Research from the lab of Shantanu Chakrabartty reveals constraints can lead to learning in AI systems.
Researchers at University of Notre Dame are developing an artificial neural network to read complex ancient handwriting based on human perception to improve capabilities of deep learning transcription.
Advances in artificial intelligence, specifically reinforcement learning, are proving beneficial to accelerating the pace of data-intensive challenges. The methods used by researchers with RL are techniques often used in video games, and by applying gamification to scientific processes, RL agents can learn as they are used in experiments, in effect, leveling up their rates of discovery as they work. Researchers are using trained RL agents at NSLS-II to accelerate the analysis of data-heavy measurements.
The prediction of future wireless traffic volumes using artificial intelligence (AI) would allow communication systems to automatically adjust network resources to maximize reliability.
The AI Institute for Intelligent Cyberinfrastructure with Computational Learning in the Environment, or ICICLE, will focus on next-generation intelligent cyberinfrastructure that makes using AI as easy as plugging an appliance into an electrical outlet.
Today, Georgia Tech received two National Science Foundation (NSF) Artificial Intelligence Research Institutes awards, totaling $40 million. A third award for $20 million was granted to the Georgia Research Alliance (GRA), with Georgia Tech serving as one of the leading academic institutions.
Chinmay Hegde, professor of computer science and engineering and electrical and computer engineering at the NYU Tandon School of Engineering is part of a multi-institutional collaboration to pursue foundational advances in artificial intelligence (AI) to enhance the resiliency of the nation’s agricultural ecosystem.
The University of Washington will lead a new artificial intelligence research institute that will focus on fundamental AI and machine learning theory, algorithms and applications for real-time learning and control of complex dynamic systems, which describe chaotic situations where conditions are constantly shifting and hard to predict.
A five-year, nearly $6 million grant from the National Institute on Aging will allow investigators with The University of Texas Health Science Center at Houston (UTHealth) School of Biomedical Informatics to use artificial intelligence (AI) to advance Alzheimer’s disease research.
Researchers behind a new artificial intelligence institute say their work can accelerate the productivity and sustainability of agriculture. NSF and the USDA’s National Institute of Food and Agriculture are supporting the idea with a five-year, $20 million grant to establish an AI Institute for Resilient Agriculture.
Vipin Chaudhary, chair of computer and data sciences at Case Western Reserve, is co-primary investigator on the new grant announced today by the U.S. National Science Foundation (NSF). He will collaborate with Ohio State computer science and engineering professor Dhabaleshwar Panda, the primary investigator on the project, which will focus on building AI systems for agricultural and wildlife management systems.
The U.S. Office of Naval Research has awarded University of Illinois Chicago researchers $725,000 to develop an artificial intelligence system that can help protect divers from waterborne bacteria, parasites, and other harmful pathogens and microbes.
Scientists at Brookhaven and Lawrence Berkeley National Laboratories have been developing an automated experimental setup of data collection, analysis, and decision making.
Johns Hopkins University scientists have developed a new tool for predicting which patients suffering from a complex inflammatory heart disease are at risk of sudden cardiac arrest. Published in Science Advances, their method is the first to combine models of patients’ hearts built from multiple images with the power of machine learning.
A team of Argonne scientists has leveraged artificial intelligence to train computers to keep up with the massive amounts of X-ray data taken at the Advanced Photon Source.
The U.S. Department of Energy has awarded $4.15 million to Argonne National Laboratory to support collaborations with industry aimed at commercializing promising energy technologies.