A new way to simulate supernovae may help shed light on our cosmic origins
Research out of Osaka University unveils a novel technique to detect different coronavirus variants quickly, including fast-spreading strains present in human saliva
A first ever study of wartime deepfake videos reveals their impact on news media and outlines implications for social media companies, media organisations and governments.
Artificial intelligence (AI) already is making a difference in healthcare by helping medical professionals interpret tests, clarify diagnoses and identify the most effective treatment approaches to a range of diseases.
Artificial intelligence (AI) from patient electrocardiograms (ECGs) may be an innovative solution to enhance heart disease risk assessment.
NASA sensors scattered across land, sea, and space have collected hundreds of terabytes of Earth science data over the past four decades. Imagine if a digital assistant like Alexa or Siri, powered by artificial intelligence (AI), could quickly and easily sift through that data to answer scientific questions for researchers.
A new study provides evidence that pigeons tackle some problems just as artificial intelligence would – allowing them to solve difficult tasks that would vex humans.
Artificial intelligence (AI) tools such as ChatGPT can be tricked into producing malicious code, which could be used to launch cyber attacks, according to research from the University of Sheffield.
Artificial intelligence (AI) techniques may provide a more accurate approach to predicting the risk of periprosthetic infection after implant-based breast reconstruction, reports a study in the November issue of Plastic and Reconstructive Surgery®, the official medical journal of the American Society of Plastic Surgeons (ASPS).
Bio-machine hybrid robots (BHRs) represent a new generation of micro-aerial vehicles that be controlled by building an interface between biological and artificial systems.
Researchers have developed an artificial intelligence (AI)–based tool for estimating a newly diagnosed cancer patient’s chances for surviving long term, according to a study presented at the American College of Surgeons (ACS) Clinical Congress 2023.
A team from the University of Cordoba has designed a model, based on fuzzy logic, that predicts the performance of online education students, dividing them into 4 categories and helping professors give more personalized assistance to each student, tailored to their situations
Investigators from the Smidt Heart Institute at Cedars-Sinai found that an artificial intelligence (AI) algorithm can detect an abnormal heart rhythm in people not yet showing symptoms.
In a paper published today in Nature Photonics, researchers from the University of Oxford, along with collaborators from the Universities of Muenster, Heidelberg, and Exeter, report on their development of integrated photonic-electronic hardware capable of processing three-dimensional (3D) data, substantially boosting data processing parallelism for AI tasks.
The quality of any artificial intelligence (AI) model relies on the data it is given. That is why researchers at SMU are creating large datasets to address bias and fairness issues found in facial recognition (FR) technology.
Surgeons at the forefront of the use of artificial intelligence (AI) to improve surgical care will discuss the potential uses and ability of AI to predict adverse events and prevent complications in the preoperative, intraoperative, and postoperative settings during a news briefing at the Boston Convention & Exhibition Center on October 23.
A five-year, $6.4 million grant to develop an integrated, multiscale artificial intelligence (AI) approach to study genetic factors associated with Alzheimer’s disease has been awarded to UTHealth Houston by the National Institute on Aging, part of the National Institutes of Health.
The annual Argonne Training Program on Extreme-Scale Computing equips attendees with the skills and knowledge needed to use the world’s most powerful supercomputers for scientific research.
Klick Labs scientists discover voice tech as potential game changer in Type 2 diabetes detection
Mayo Clinic Platform_Accelerate is excited to announce its fourth cohort consisting of nine innovative health tech startups from around the globe. T
Artificial intelligence is being harnessed by some scientists to predict which molecules could treat illnesses. Researchers reporting in ACS Central Science have used one such deep learning algorithm, and found that an antimalarial drug could treat osteoporosis.
The Korea Institute of Science and Technology (KIST) announced that have presented a new artificial intelligence-based catalyst screening methodology and succeeded in developing a new catalytic material based on a ternary element-based alloy (Cu-Au-Pt) that is cheaper and performs more than twice as well as pure platinum catalysts.
Tropical forests are among the most important habitats on our planet. They are characterised by extremely high species diversity and play an eminent role in the global carbon cycle and the world climate.
Members of the media can still apply to cover the American College of Surgeons (ACS) Clinical Congress 2023.
At U-M Health, a predictive analytic tool developed by the University of Michigan Max Harry Weil Institute for Critical Care Research and Innovation is helping members of the hospital’s Rapid Response Team (RRT) stop the spark of deterioration before it starts.
High-performance thin-film lithium niobate optical modulators have emerged that are highly expected to satisfy the ever-growing demand for high-capacity optical interconnects utilizing multiple channels in parallel.
Two major investments in technology research and development were announced Thursday, Oct. 12, by University of Utah President Taylor Randall, marking the U’s expanding partnerships with industry and government players in the areas of artificial intelligence and semiconductors.
Reservoir computing, a type of machine learning, to program a robot to move two arms on a 2D plane in a computer simulation, allows the robot to change trajectory between predefined paths with only partial knowledge of the surrounding environment.
Researchers are preparing to use Argonne’s Aurora exascale supercomputer and artificial intelligence to accelerate the search for promising new materials for batteries, catalysts and other applications.
Today, the U.S. Department of Energy (DOE) announced the selection of the High Performance Data Facility (HPDF) hub, which will create a new scientific user facility specializing in advanced infrastructure for data-intensive science. The Thomas Jefferson National Accelerator Facility (JLab) will be the HPDF Hub Director and the lead infrastructure will be located at JLab.
A Harvey L. Neiman Health Policy Institute (HPI) and American College of Radiology® (ACR®) Data Science Institute (DSI) study projects that new U.S. Food and Drug Administration (FDA)-approved artificial intelligence (AI) medical imaging products will increase five-fold by 2035.
An automated pain recognition system using artificial intelligence (AI) holds promise as an unbiased method to detect pain in patients before, during and after surgery, according to research presented at the ANESTHESIOLOGY® 2023 annual meeting.
Large Language Models (LLMs) such as ChatGPT and Bard have taken the world by storm this year, with companies investing millions to develop these AI tools, and some leading AI chatbots being valued in the billions.
To examine the global state of AI ethics, a team of researchers from Brazil performed a systematic review and meta-analysis of global guidelines for AI use.
Argonne National Laboratory is shaping Industry 4.0 with groundbreaking research into advanced ways of making things more effective, efficient and economical, using the most cutting-edge materials and processes, with the lowest possible environmental impact.
The University of Utah is launching a new research initiative focused on AI that aims to responsibly use advanced AI technology to tackle societal issues. President Taylor Randall announced a $100 million investment in the newly created Responsible AI Initiative that will advance AI, led by the U’s Scientific Computing and Imaging Institute.
Two College of Education professors are at the cutting edge of harnessing the power of Generative AI in education. Here, they share their story and thoughts on the possibilities that Generative AI holds for education and the problems it poses.
In his new memoir, I’ve Been Thinking, Tufts University Professor emeritus Daniel C. Dennett tells many stories of his life, but as the title indicates, the emphasis is on the life of the mind. Not just his mind, but all minds. That’s because Dennett has spent much of his career as a philosopher working on issues related to consciousness and cognition, collaborating with scientists of all stripes.
Top Italian Scientists join the discussion of AI and Machine Learning presented by the Sbarro Health Research Organization (SHRO) in collaboration with the National Italian American Foundation (NIA) this weekend at the annual NIAF convention and gala.
Early predictors of cancer evolution under therapy have been identified using an artificial intelligence program to analyze data from tumor samples of patients with glioma, an aggressive and often fatal type of brain cancer. This use of machine learning in precision medicine shows signs of significantly better performance than current grading and diagnostic models.
New method measures age acceleration, opening doors to unlocking genetic and environmental risk for cognitive disorders and Alzheimer’s
Models built on machine learning in health care can be victims of their own success, according to researchers at the Icahn School of Medicine and the University of Michigan.
A groundbreaking study presented today by University of North Carolina (UNC) School of Medicine researchers at the XXIV FIGO World Congress of Gynecology and Obstetrics could revolutionize pregnancy care, especially in areas with limited resources.
A team of New York University computer scientists has created a neural network that can explain how it reaches its predictions. The work reveals what accounts for the functionality of neural networks—the engines that drive artificial intelligence and machine learning—thereby illuminating a process that has largely been concealed from users.
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