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).
While the rise of artificial intelligence is proving to be a contentious issue, new research from Edith Cowan University (ECU) has found that the use of social robots in a commercial setting would likely be met with less resistance.
In response to the rapidly evolving landscape of data collection and analysis driven by advances in artificial intelligence, the U.S. National Science Foundation (NSF) and the U.S. Department of Energy (DOE) have established a Research Coordination Network (RCN) dedicated to advancing privacy research and the development, deployment and scaling of privacy enhancing technologies (PETs). Fulfilling a mandate from the "Executive Order on the Safe, Secure, and Trustworthy Development and Use of Artificial Intelligence," the initiative advances the recommendations in the National Strategy to Advance Privacy-Preserving Data Sharing and Analytics to move towards a data ecosystem where the beneficial power of data can be unlocked while protecting privacy.
Practice makes perfect, and a new system being tested and perfected that enables surgical trainees to obtain cutting-edge instruction in real-time, all through a new artificial intelligence program. As medical students conduct surgical exercises, the AI software scans a live video feed and provides immediate, personalized feedback.The solution is among the first generation of AI teachers giving real-time feedback and may pioneer the use of similar instructional technology in other industries, including additional areas of healthcare and medicine.
With time scheduled to use a certain beamline at the National Synchrotron Light Source-II (NSLS-II), scientists from NSLS-II and their partner institutions faced a challenge. They planned on researching a special type of region in magnetic materials that could be useful for next-generation computers. Regions in magnetic materials - called magnetic domains - determine a material's magnetic properties. The scientists wanted to study how these magnetic domains changed over time under the influence of an outside magnetic field.
An interdisciplinary team of experts from the University of Notre Dame, in collaboration with the University of Maryland and University of Utah, have found a way to use artificial intelligence to analyze a household’s passive design characteristics and predict its energy expenses with more than 74 percent accuracy. By combining their findings with demographic data including poverty levels, the researchers have created a comprehensive model for predicting energy burden across 1,402 census tracts and nearly 300,000 households in Chicago.
From the invention of the wheel to the advent of the printing press to the splitting of the atom, history is replete with cautionary tales of new technologies emerging before humanity was ready to cope with them.
With national elections looming in the United States, concerns about misinformation are sharper than ever, and advances in artificial intelligence have made distinguishing genuine news sites from fake ones even more challenging. Virginia Tech experts explore three different facets of the AI-fueled spread of fake news sites and the efforts to combat them.
ETRI’s researchers have unveiled a technology that combines generative AI and visual intelligence to create images from text inputs in just 2 seconds, propelling the field of ultra-fast generative visual intelligence.
A Princeton-led team composed of engineers, physicists, and data scientists from the University and the Princeton Plasma Physics Laboratory (PPPL) have harnessed the power of artificial intelligence to predict — and then avoid — the formation of a specific plasma problem in real time.
Two teams of engineers led by faculty in the McKelvey School of Engineering at Washington University in St. Louis will work toward developing products to monitor drinking water quality and to detect explosives with an electronic nose with one-year, $650,000 Convergence Accelerator Phase 1 grants from the National Science Foundation (NSF).
The U.S. Department of Energy (DOE) today announced awards totaling $61 million for small businesses in 17 states. The 50 projects funded by DOE’s Office of Science include the development of advanced scientific instruments, advanced materials, and clean energy conversion and storage technologies that will conduct climate research and advance the Biden-Harris Administration’s goal of a net-zero emissions economy.
Researchers at West Virginia University have identified a set of diagnostic metabolic biomarkers that can help them develop artificial intelligence tools to detect Alzheimer’s disease in its early stages, as well as determine risk factors and treatment interventions.
Dustin Tyler, the Kent H. Smith II Professor of Biomedical Engineering at CWRU’s Case School of Engineering, co-founded a company that restores for people the sensation of touch—with help from a set of electrical rings that fit snugly on users’ fingers—from a distance.
ETRI’s researchers have pioneered the development of light source devices that can be utilized in mega/hyper datacenters and 5G/6G mobile communication base stations. The technology innovated by the research team can transmit full HD movies of 5 GB size at a rate of 5.6 per second.