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UrduThe University at Albany today began a new era of teaching and research with the launch of Albany AI, a $200 million public-private supercomputing initiative based out of its soon-to-be-renovated College of Engineering and Applied Sciences building.
Tag: Artifical Intelligence
SLAS Technology June Issue Highlights Potential for AI to Solve Workflow Challenges and Open-Source Software Potential – Available Now
The June issue of SLAS Technology is now available Open Access on ScienceDirect.
Spiders’ Web Secrets Unraveled
Johns Hopkins University researchers discovered precisely how spiders build webs by using night vision and artificial intelligence to track and record every movement of all eight legs as spiders worked in the dark.
Their creation of a web-building playbook or algorithm brings new understanding of how creatures with brains a fraction of the size of a human’s are able to create structures of such elegance, complexity and geometric precision. The findings, now available online, are set to publish in the November issue of Current Biology.
DOE grants will help advance AI techniques to address data challenges
Argonne scientists have received two high-profile grants from the U.S. Department of Energy that will help scientists at the U.S. National Laboratories take advantage of the latest developments in machine learning technology.
Tulane researcher gets NSF grant to teach algorithms to be fair
Tulane researcher Nick Mattei is part of a new NSF study to design more equitable algorithm recommender systems.
Teaching Robots to Think Like Us
In Applied Physics Letters, researchers outline how a robot could be taught to navigate through a maze by electrically stimulating a culture of brain nerve cells connected to the machine. These nerve cells were grown from living cells and acted as the physical reservoir for the computer to construct coherent signals. These findings suggest goal-directed behavior can be generated without any additional learning by sending disturbance signals to an embodied system.
Mayo, Google Research develop new AI algorithm to improve brain stimulation devices to treat disease
For millions of people with epilepsy and movement disorders such as Parkinson’s disease, electrical stimulation of the brain already is widening treatment possibilities. In the future, electrical stimulation may help people with psychiatric illness and direct brain injuries, such as stroke.
Scientists Create a Labor-Saving Automated Method for Studying Electronic Health Records
Scientists at the Icahn School of Medicine at Mount Sinai described the creation of a new, automated, artificial intelligence-based algorithm that can learn to read patient data from electronic health records. In a side-by-side comparison, they showed that their method, called Phe2vec (FEE-to-vek), accurately identified patients with certain diseases as well as the traditional, “gold-standard” method, which requires much more manual labor to develop and perform
Facial recognition AI helps save multibillion dollar grape crop
New technology, using robotics and AI, is supercharging efforts to protect grape crops and will soon be available to researchers nationwide working on a wide array of plant and animal research.
New Partnership to Advance Artificial Intelligence in Ophthalmology
The American College of Radiology® Data Science Institute® (ACR DSI) and the American Academy of Ophthalmology today announced a collaboration that will expand ACR DSI’s groundbreaking AI-LAB™ platform to include eye care.
AI Learns to Predict Human Behavior from Videos
New Columbia Engineering study unveils a computer vision technique for giving machines a more intuitive sense for what will happen next by leveraging higher-level associations between people, animals, and objects.“Our algorithm is a step toward machines being able to make better predictions about human behavior, and thus better coordinate their actions with ours,” said Computer Science Professor Carl Vondrick. “Our results open a number of possibilities for human-robot collaboration, autonomous vehicles, and assistive technology.”
Scientists Develop a Tuberculosis-Diagnosing Sticker Patch
Israeli scientists have demonstrated a novel means of diagnosing tuberculosis by means of a sticker patch that catches compounds released by the skin. Using an artificial intelligence (AI) analysis of these compounds, the scientists were able to provide a quick, non-invasive diagnosis.
The Mount Sinai Hospital Recognized as No. 4 on Newsweek’s World’s Best Smart Hospital 2021 List
The Mount Sinai Hospital is ranked No. 1 in the New York City metropolitan area and No. 4 globally among the most technologically advanced health care institutions on Newsweek’s list of “The World’s Best Smart Hospitals 2021.”
University Hospitals First in the World to Integrate New General Electric Healthcare Imaging System into Daily Clinical Practice
University Hospitals in Cleveland is the global pioneer in full clinical adoption of GE Healthcare’s new Critical Care Suite 2.0, the world’s first on-device artificial intelligence program helping to assess endotracheal tube placement.
Could Smarter Guns Be the Key To Stopping Mass Shootings and Other Violence?
“Gun violence in this country is an epidemic, and it’s an international embarrassment,” President Biden recently said. At least 45 mass shootings have occurred in America in the last month, according to reports. In the same time period, news of…
Mayo Clinic launches new technology platform ventures to revolutionize diagnostic medicine
Mayo Clinic announced a new technology platform initiative to deliver the next generation of clinical decision support tools, diagnostic insights and care recommendations to help clinicians make faster and more accurate diagnoses and provide truly continuous care to patients. The Remote Diagnostics and Management Platform (RDMP) connects data with innovative new artificial intelligence (AI) algorithms and augments human decision-making within existing clinical workflows. RDMP enables “event-driven medicine,” providing insights in the right context, at the right time.
Software Package Enables Deeper Understanding of Cancer Immune Responses
Researchers at the Bloomberg Kimmel Institute for Caner Immunotherapy at the Johns Hopkins Kimmel Cancer Center have developed DeepTCR, a software package that employs deep-learning algorithms to analyze T-cell receptor (TCR) sequencing data. T-cell receptors are found on the surface of immune T cells. These receptors bind to certain antigens, or proteins, found on abnormal cells, such as cancer cells and cells infected with a virus or bacteria, to guide the T cells to attack and destroy the affected cells.
Unbound Medicine Integrates Machine Learning Into Digital Platform
Unbound Medicine® today announced a major upgrade to their digital publishing platform. Unbound developed Unbound Intelligence™‒ exclusive artificial intelligence and machine learning tools to help clinicians keep up to date with current research, as well as discover and fill knowledge gaps.
Decoding the ‘Black Box’ of AI to Tackle National Security Concerns
Cats and dogs. Huskies and wolves. While AI research sometimes seems dominated by talk about animals, the discussions are critical for understanding AI decisions. This “explainable AI” research is critical for many domains, including the detection of nuclear explosions or the movement of materials that endanger the nation’s security.
Standard digital camera and AI to monitor soil moisture for affordable smart irrigation
Researchers at The University of South Australia have successfully tested a system that can monitor soil moisture using just a standard camera and an AI algorithm. The system holds huge potential as a simple, affordable solution for smart agriculture, allowing for automated, precision irrigation.
Extreme-scale computing and AI help forecast a promising outlook for divertor heat-loads in next-step fusion reactors
New computer simulation forecasts a surprisingly optimistic heat load for future fusion facilities designed to harvest on Earth the fusion that powers the sun and stars to generate electricity.
Mayo Clinic research yields breakthrough in mobile determination of QT prolongation
Researchers from Mayo Clinic and AliveCor Inc. have been using artificial intelligence (AI) to develop a mobile device that can identify certain patients at risk of sudden cardiac death. This research has yielded a breakthrough in determining the health of the electrical recharging system in a patient’s heart. The researchers determined that a smartphone-enabled mobile EKG device can rapidly and accurately determine a patient’s QTc, thereby identifying patients at risk of sudden cardiac death from congenital long QT syndrome (LQTS) or drug-induced QT prolongation.
Artificial intelligence tool for reading MRI scans could transform prostate cancer surgery and treatment
Researchers at the Center for Computational Imaging and Personalized Diagnostics (CCIPD) at Case Western Reserve University have preliminarily validated an artificial intelligence (AI) tool to predict how likely the disease is to recur following surgical treatment for prostate cancer.
Digital Stethoscope Uses Artificial Intelligence for Diagnosing Lung Abnormalities
Stethoscopes are a ubiquitous and cost-effective tool for medical diagnosis, but they open the door to subjectivity and can experience high levels of environmental noise. This makes it difficult to properly diagnose lung abnormalities, like COVID-19, by listening to sounds from the body. James West, at Johns Hopkins University, has been developing a digital stethoscope equipped with artificial intelligence for accurate lung diagnoses. He will discuss its opportunities and obstacles at the 179th ASA Meeting.
Automatic deep-learning, artificial-intelligence clinical tool that can measure the volume of cerebral ventricles on MRIs in children
Researchers from multiple institutions in North America have developed a fully automated, deep-learning (DL), artificial-intelligence clinical tool that can measure the volume of cerebral ventricles on magnetic resonance images (MRIs) in children within about 25 minutes.
Artificial Intelligence Program Can Pick Best Candidates for Skin Cancer Treatment
Experts trained a computer to tell which skin cancer patients may benefit from drugs that keep tumors from shutting down the immune system’s attack on them, a new study finds.
Mount Sinai Develops Machine Learning Models to Predict Critical Illness and Mortality in COVID-19 Patients
Mount Sinai researchers have developed machine learning models that predict the likelihood of critical events and mortality in COVID-19 patients within clinically relevant time windows.
Artificial Intelligence Accurately Detects Radiographic Sacroiliitis in Axial Spondyloarthritis, Improving Diagnosis and Research
New research presented at ACR Convergence, the American College of Rheumatology’s annual meeting, shows that an artificial intelligence-based analysis model enables accurate detection of definite radiographic sacroiliitis in people with axial spondyloarthritis, an advance that could be useful for both diagnosis in the clinic and classification of patients for inclusion in clinical trials.
October 27, 2020 Web Feature Enabling the Data-Driven Future of Microscopy
An international research team led by PNNL has published a vision for electron microscopy infused with the latest advances in data science and artificial intelligence. Writing a commentary in Nature Materials, the team proposes a highly integrated, autonomous, and data-driven microscopy architecture to address challenges in energy storage, quantum information science, and materials design.
Houston Methodist using 3D technology, artificial intelligence and more in new breast cancer research studies
Trials include a model to create custom breast implants, a smarter method to recommend biopsy, a novel approach to preserve sensation in implant-based breast reconstruction, and a new clinical trial investigating a modified herpes virus as a tactic to trigger immune response.
Penn Researchers Receive Grant to Use AI to Improve Heart Transplant Outcomes
Researchers in the Perelman School of Medicine at the University of Pennsylvania were awarded a $3.2 million grant from the NIH to enhance research for improving heart transplant outcomes for patients. The four-year grant will fund a project exploring the use of AI-driven analysis to determine the likelihood of cardiac patients accepting or rejecting a new heart.
Scientists Train Computers to Recognize Which Early Stage Breast Cancers Will Spread
A new, machine-learning based approach could help doctors to separate aggressive stage 0 breast cancer from non-aggressive forms, sparing some women unnecessary mastectomies.
VOLTTRON™ Goes to School
The PNNL-developed VOLTTRON™ software platform’s advancement has benefited from a community-driven approach. The technology has been used in buildings nationwide, including most recently on a university campus.
Danforth Center Scientists Collaborate On A $20 Million Nationwide Artificial Intelligence Research Institute
Todd Mockler, PhD, will co-lead a research team applying AI approaches to extract plant phenotypes, from sensor data sets in order to accelerate crop improvement, with a focus on enhancing nitrogen and water use efficiency in major row crops such as corn and soy.
AI Shows Promise in Accurately Identifying Infants with Low Risk of Serious Bacterial Infection
Artificial intelligence, or “supervised machine learning,” could help identify which well-appearing infants with fever, who are 60 days old or younger, are at low risk for a serious bacterial infection, according to a study published in Pediatrics. Accurate risk determination could reduce unnecessary lumbar puncture, antibiotics and hospitalizations for these infants, as well as decreasing parental anxiety.
Whiteness of AI erases people of colour from our ‘imagined futures’, researchers argue
The overwhelming ‘Whiteness’ of artificial intelligence – from stock images and cinematic robots to the dialects of virtual assistants – removes people of colour from the way humanity thinks about its technology-enhanced future, according to Cambridge researchers.
Tulane scientists partner with U.S. Army on machine learning study
The project could pave the way for small, mobile quantum networks and possibly lead to unbreakable, secure communication systems, quantum computers and enhanced radar.
Harness artificial intelligence and take control your health
Sedentary behaviours, poor sleep and questionable food choices are major contributors of chronic disease, including diabetes, anxiety, heart disease and many cancers. But what if we could prevent these through the power of smart technologies?
Online Map Tracks COVID-19 Testing Stations Throughout U.S.
Johns Hopkins Carey Business School Associate Professor Jim Kyung-Soo Liew leads a team that has created an online map showing the locations of coronavirus testing stations throughout the United States.
Mayo Clinic researchers contribute unique CT data to public repository
Medical physicists at the Mayo Clinic have just made a unique library of computed tomography (CT) data publicly available so that imaging researchers can study, develop, validate, and optimize algorithms and enhance imaging hardware to produce peak-quality CT images using low radiation doses.
SAS and IIASA call for crowd-driven artificial intelligence to help track deforestation
On the 50th anniversary of Earth Day, SAS and the International Institute for Applied Systems Analysis join forces to transform crowdsourced knowledge into actionable intelligence to help protect the planet.
Hybrid microscope creates digital biopsies
Bioengineers have combined standard microscopy, infrared light, and artificial intelligence to assemble digital biopsies that identify important molecular characteristics of cancer biopsy samples.
Composing New Proteins with Artificial Intelligence
Proteins are the building blocks of life and scientists have long studied how to improve them or design new ones. Traditionally, new proteins are created by mimicking existing proteins or manually editing their amino acids. This process is time-consuming, and it is difficult to predict the impact of changing an amino acid. In APL Bioengineering, researchers explore how to create new proteins by using machine learning to translate protein structures into musical scores, presenting an unusual way to translate physics concepts across domains.
Top Doctors Limit Number of Tests They Order to Signal Diagnostic Prowess to Peers
A new study by Carey Business School researchers notes that some expert medical diagnosticians may order fewer patient tests as a way to indicate a high level of competence to their peers. They do so despite an increase in diagnostic techniques that can assess patient condition more accurately than former methods.
AI’s Future Potential Hinges on Consensus: NAM Report
The new report is designed to be a comprehensive reference for organizational leaders, health care professionals, data analysts, model developers and those who are working to integrate machine learning into health care, said Vanderbilt University Medical Center’s Michael Matheny, MD, MS, MPH, Associate Professor in the Department of Biomedical Informatics, and co-editor of AI in Healthcare: The Hope, The Hype, The Promise, The Peril.
UC Santa Cruz launches new graduate program in natural language processing
The University of California, Santa Cruz, has established a new master’s (M.S.) degree program in Natural Language Processing (NLP), offered from the UCSC Silicon Valley Campus in Santa Clara. This innovative professional degree program will give students a strong background in the advanced computational technologies used to process and analyze the natural language that humans speak and write.
The beautiful music of robotics and AI
How do you integrate ethics, policy, and practicality into the design of revolutionary robotics and artificial intelligence systems? Researchers Kagan Tumer and Tom Dietterich are collaborating to find out as they help lead the Oregon State Collaborative Robotics and Intelligent Systems Institute.
DHS S&T Awards Colorado Start-up $147K for Intelligent Counting and Measuring Platform
DHS S&T awarded $147,413 to KickView Corporation to adapt their multi-sensor artificial intelligent (AI) software platform to provide real-time data analysis of passenger flow in the international customs processing areas of airports.
Mount Sinai Health System Named 2019 Most Wired
Mount Sinai Health System has earned the 2019 College of Healthcare Information Management Executives (CHIME) Most Wired recognition according to survey results released this month.
Artificial Intelligence/Machine Learning are rapidly changing. The materials research community is just beginning to utilize AI and ML in the research process, and it is already clear that this represents a potentially game changing development.
Dr. Benji Maruyama is a Principal Materials Research Engineer in the Air Force Research Laboratory, Materials & Manufacturing Directorate. He is the Leader of the Flexible Materials and Processes Research Team, and leads research on the synthesis and processing science…