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.
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