Study shows AI improves performance for some radiologists but worsens it for others. Understanding who might benefit from AI and who would not is critical for designing tools that boost human performance.
The University of California, Irvine has deployed a customized generative artificial intelligence solution called ZotGPT Chat. One of the first of its kind in the UC system, the tool was created to allow UC Irvine affiliates to explore AI in a safer, tailor-made environment.
When a star goes supernova, a massive burst of neutrinos is the first signal that can escape the density of the collapsing star. Detecting and analyzing this phenomenon in real time would allow us insight into stellar dynamics and, potentially, black hole formation.
Nobel Laureate Brian Kobilka, MD, and NASA Astronaut Jessica Meir, PhD, are among the highlighted speakers who will attend the American Physiology Summit, the American Physiological Society’s (APS) flagship annual meeting.
More than a hundred researchers convened to brainstorm tools with the potential to extend care beyond the clinic, help doctors optimize care for each patient, and empower people to manage their own care.
In an analysis of more than 3,000 European firms, they found that many – particularly in science, retail trade, finance, real estate and manufacturing – are increasingly opting for ready-made technology that can be tailored to the specific needs of the firm.
One group is using machine learning to develop a more reliable and efficient screening method for bladder cancer.
The National Science Foundation (NSF) has awarded SMU engineering professor Digvijay Boob a five-year CAREER grant to pioneer quicker, streamlined solutions that could speed up how AI learns from data to make predictions and decisions.
Michigan State University’s College of Social Science launched the Future of Work Initiative to address how technology will shape and change the future of work. To kick start this effort, the college held a conference convening those involved in the initiative with faculty from across MSU and representatives from community organizations to engage on this subject.
In a paper that will be presented at the Twelfth International Conference on Learning Representations (ICLR), taking place in Vienna on May 7 - 11, 2024, an NYU Tandon research team demonstrates how techniques that claim to "erase" the ability of models like Stable Diffusion to generate explicit, copyrighted, or otherwise unsafe visual content can be circumvented through simple attacks.
Mayo Clinic Platform launches Solutions Studio, a new program that accelerates the development, validation and deployment of digital health solutions and integrates them into healthcare workflows.
The Speech Accessibility Project, which aims to train voice recognition technologies to understand people with diverse speech patterns and disabilities, is recruiting U.S. and Puerto Rican adults with cerebral palsy.
In an article recently published in Scientific Reports, researchers from Bar-Ilan University reveal the mechanism underlying successful machine learning, which enables it to perform classification tasks with resounding success.
Rosalind J. Wright, MD, MPH, appointed inaugural Dean for Public Health and Chair of the new Department of Public Health to spearhead a state-of-the-art curriculum in public health research, education, and practice that will systematically integrate with medicine, population health, global health, neurosciences, environmental medicine, data science and Artificial Intelligence (AI) disciplines.
Researchers found that a formula used in statistical analysis provides a streamlined mathematical description of how neural networks, such as GPT-2, a precursor to ChatGPT, learn relevant patterns in data, known as features. This formula also explains how neural networks use these relevant patterns to make predictions. The team presented their findings in the March 7 issue of the journal Science.
In 2021, two Stony Brook University researchers began conducting a survey study on attitudes toward artificial intelligence (AI) among American adults. Some of their recent findings, published in the journal Seeds of Science, show a shift in Americans’ views on AI.
The clinical research program in the Division of Urology focuses on improving care for children and adolescents with a range of urologic conditions—including bladder exstrophy, vesicoureteral reflux, posterior urethral valves and more.To help support and grow this research, the team recently welcomed two new full-time staff who are leading the program: Senior Research Associate Christine Do, DrPH, MPH, and Clinical Research Coordinator II Jonathan Olais, MPA, CCRP.
Team studying predictive models for serious sleep condition awarded $3 million NIH grant
A new field promises to usher in a new era of using machine learning and computer vision to tackle small and large-scale questions about the biology of organisms around the globe.
Researchers at the University of New Hampshire developed a new machine learning model, an application of artificial intelligence, that news services, like social media outlets, could easily use to better screen medical news stories for accuracy.
The Universe is almost inconceivably vast. So is the amount of data astronomers collect when they study it. This is a challenging process for the scientists and engineers at the U.S. National Science Foundation’s National Radio Astronomy Observatory (NRAO). But what if they could do it over 300 times faster?
A new study led by URI scientists Kathleen Melanson and Theodore Walls aims to shed light on real-world eating behaviors, using AI-enabled wearable technology. In collaboration with researchers at the University of Texas and funded by the National Institutes of Health, the team will develop a system to detect detailed information on eating motions.
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Researchers at the Beckman Institute developed an artificial intelligence model that can accurately identify tumors and diseases in medical images. The tool draws a map to explain each diagnosis, helping doctors follow its line of reasoning, check for accuracy, and explain the results to patients.
Scientists at the University of Florida have pioneered a method for using semiconductor technology to manufacture processors that significantly enhance the efficiency of transmitting vast amounts of data across the globe.
PNNL scientists have put forth a new approach to protect the electric grid, creating a tool that sorts and prioritizes cyber threats on the fly.
Scientists develop a method for examining what happens when nanoelectronic materials switch between conducting and nonconducting phases. This may accelerate the development of neural-like circuits for use in nanoelectronic devices.
Scientists at Washington University School of Medicine in St. Louis trained a machine-learning algorithm to predict accurately brain metastasis using biopsy samples from early-stage non-small cell lung cancer patients. It was also highly accurate in predicting those patients who do not develop metastatic brain tumors.
Digital Science is delighted to announce the launch of AI-driven summarization in Dimensions, a new feature to support the user in their discovery process for publications, grants, patents and clinical trials.
Recent NCCN Guidelines updates—along with the supporting evidence—will be presented during the NCCN 2024 Annual Conference held in Orlando, Florida April 5-7, and simultaneously online. Visit NCCN.org/conference to learn more and register.
Unlike existing work, which relies on training data from social media examples, a new benchmark, named ToxicChat, is based on examples gathered from real-world interactions between users and an AI-powered chatbot. ToxicChat is able to weed out queries that use seemingly harmless language but are actually harmful, which would pass muster with most current models.
Fengqui "Frank" Li is a computational developer at Oak Ridge National Laboratory who uses his background as an architect to expand the landscape of design for his research into building energy modeling and beyond.
Atomic force microscopy, or AFM, is a widely used technique that can quantitatively map material surfaces in three dimensions, but its accuracy is limited by the size of the microscope’s probe. A new AI technique overcomes this limitation and allows microscopes to resolve material features smaller than the probe’s tip.
Scientists from the National University of Singapore (NUS) have pioneered a new methodology of fabricating carbon-based quantum materials at the atomic scale by integrating scanning probe microscopy techniques and deep neural networks. This breakthrough highlights the potential of implementing artificial intelligence at the sub-angstrom scale for enhanced control over atomic manufacturing, benefiting both fundamental research and future applications.
In a paper in the prestigious journal Science to appear on Feb. 29, 2024, a multi-institutional team led by scientists at Carnegie Mellon University and University of California at Berkeley found parts of the genome, both within genes and outside of them, that evolved and are associated with vocal learning across mammals. These elements have been linked to autism in humans.
A team at UC Davis has developed a machine-learning model that can better predict which patients are at greater risk to develop hepatocellular carcinoma.
UT Southwestern Medical Center researchers have developed an artificial intelligence (AI) method that writes its own algorithms and may one day operate as an "automated scientis" to extract the meaning behind complex datasets.
Digital Science has awarded two new Catalyst Grants of £25,000 each to innovative AI-based technology ideas aimed at advancing global research.
Continuous, unobtrusive sensors and related monitoring devices are installed in older drivers’ vehicles to detect changes in highly complex activities over time. A driver facing camera, forward facing camera, and telematics unit provide video in real-time to enable researchers to analyze abnormal driving such as getting lost, reaction time and braking patterns as well as travel patterns such as miles driven, miles during the night and daytime, and driving in severe weather. Detecting changes in behavior could generate early warning signs of possible changes in cognition.
A recent study introduce a novel paradigm combining ChatGPT with machine learning (ML) to significantly ease the application of ML in environmental science. This approach promises to bridge knowledge gaps and democratize the use of complex ML models for environmental sustainability.
Digital Science announces two new products – Dimensions Research GPT and Dimensions Research GPT Enterprise – bringing the unmatched, trusted research coverage of Dimensions to the ChatGPT platform.
Researchers at the Icahn School of Medicine at Mount Sinai and others have harnessed the power of machine learning to identify key predictors of mortality in dementia patients. The study, published in the February 28 online issue of Communications Medicine, addresses critical challenges in dementia care by pinpointing patients at high risk of near-term death and uncovers the factors that drive this risk. Unlike previous studies that focused on diagnosing dementia, this research delves into predicting patient prognosis, shedding light on mortality risks and contributing factors in various kinds of dementia.
Dartmouth researchers report they have developed the first smartphone application that uses artificial intelligence paired with facial-image processing software to reliably detect the onset of depression before the user even knows something is wrong.
Bridging precision engineering and precision medicine to create personalized physiology avatars. Pursuing on-demand tissue and organ engineering for human health. Revolutionizing neuroscience by using AI to engineer advanced brain interface systems. Engineering the immune system for health and wellness. Designing and engineering genomes for organism repurposing and genomic perturbations.
Two leading multiple sclerosis (MS) experts—Nancy Sicotte, MD, director of Multiple Sclerosis and Neuroimmunology at Cedars-Sinai, and Pascal Sati, PhD, director of the Neuro Imaging Program in the Department of Neurology—are attending the Americas Committee for Treatment and Research in Multiple Sclerosis Forum 2024 Feb. 29-March 2 in West Palm Beach, Florida.
The Technology Infrastructure for Data Exploration (TIDE) project at SDSU will give CSU researchers access to new high-performance data processing capabilities.
Researchers at the University of Notre Dame conducted a study using AI bots based on large language models and asked human and AI bot participants to engage in political discourse. Fifty-eight percent of the time, the participants could not identify who the AI bots were.
Too often, the first sign of cardiovascular disease may be a major event like a heart attack, stroke or cardiac arrest. Now, researchers and clinicians at Mayo Clinic are using artificial intelligence (AI) technology to flag heart problems earlier, boosting the abilities of a diagnostic test that has been around for over a century — the electrocardiogram (ECG).
As we get older, we may start to notice it takes us longer to find the right words. This can lead to concerns about cognitive decline and dementia.
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