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.
Liberating Greatness in Every Neurosurgeon, AtlasGPT Delivers the Most Trusted Decision Support for Brain and Spine Care
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.
Researchers have paired a deep learning model with experimental data to “decode” mouse neural activity.
Research shows this tool can strongly support clinicians for patient care
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.
Imageomics, a new field of science, has made stunning progress in the past year and is on the verge of major discoveries about life on Earth, according to one of the founders of the discipline. Tanya Berger-Wolf, faculty director of the Translational Data Analytics Institute at The Ohio State University, outlined the state of imageomics in a presentation at the annual meeting of the American Association for the Advancement of Science.
The random information posted online could be used to generate information about biodiversity and its conservation.
Researchers studying complex phenomena such as the Higgs boson must work with massive experimental data sets. To help, researchers have defined practical FAIR (findable, accessible, interoperable, reusable) principles for data and applied the principles to an open simulated tktk from CERN. FAIR will help humans and computers use large data sets, enable modern computers to process these data sets, and aid the development of artificial intelligence tools.
A research team at Los Alamos National Laboratory is using artificial intelligence to address several critical shortcomings in large-scale malware analysis, making significant advancements in the classification of Microsoft Windows malware and paving the way for enhanced cybersecurity measures. Using their approach, the team set a new world record in classifying malware families.
By integrating an ensemble of privacy-preserving algorithms, a KAUST research team has developed a machine-learning approach that addresses a significant challenge in medical research: How to use the power of artificial intelligence (AI) to accelerate discovery from genomic data while protecting the privacy of individuals
Mike Teodorescu, a University of Washington assistant professor in the Information School, proposes that private enterprise standards for fairer machine learning systems would inform governmental regulation.
Irvine, Calif., Feb. 15, 2024 – Throughout human history, technologies have been used to make peoples’ lives richer and more comfortable, but they have also contributed to a global crisis threatening Earth’s climate, ecosystems and even our own survival.
The in silico trial demonstrated 2X the efficacy of the current treatment (>80% vs 39%); 3X shorter treatment time to cure (6 vs 18 months); 1 drug compared to a 3-drug combo for the standard of care; and preclinical results in shorter time than animal models.
Researchers at the U.S. Department of Energy’s Argonne National Laboratory have used new generative AI techniques to propose new metal-organic framework materials that could offer enhanced abilities to capture carbon
A collaborative group of investigators used artificial intelligence (AI) to quickly and accurately measure fat around the heart using a low-dose computed tomography (CT) scan during a routine test.
Electronics and Telecommunications Research Institute (ETRI) has developed a technology that recognizes real-time game situations by analyzing play elements extracted from game videos and automatically generates highlights by identifying key play events in the game.
When a human-AI conversation involves many rounds of continuous dialogue, the powerful large language machine-learning models that drive chatbots like ChatGPT sometimes start to collapse, causing the bots’ performance to rapidly deteriorate.
Issues such as abrupt changes in speed limits and incomplete lane markings are among the most influential factors that can predict road crashes, finds new research by University of Massachusetts Amherst engineers.
Researchers have developed the largest-ever dataset of biological images suitable for use by machine learning – and a new vision-based artificial intelligence tool to learn from it.
A West Virginia University urban forester is developing a method — with the help of artificial intelligence — to identify trees at risk of falling on power lines and causing blackouts.
UMD Smith expert explains the wave of tech job layoffs as a sign of a broader, labor market shift to where “humans need to recalibrate and capitalize on strengths beyond pure intelligence—like intuition, empathy, creativity, emotion and people skills.”
Surgeons and investigators from Cedars-Sinai Orthopaedics bring their leading-edge expertise in treatment and the latest clinical research to the annual meeting of the American Academy of Orthopaedic Surgeons (AAOS) in San Francisco February 12-16.
With the growing popularity of large language model (LLM) chatbots, a type of artificial intelligence (AI) used by ChatGPT, Google Bard and BingAI, it is important to outline the accuracy of musculoskeletal health information they provide.
Imagine a world in which the digital watch on your wrist tracks not only your step count, but also your blood sugar, heart rate, blood pressure and respiration.
Past attendees of the annual Argonne Training Program on Extreme-Scale Computing are thriving in careers across the field of high performance computing.
Artificial intelligence (AI) chatbots are more accurate than expected when asked to answer medical questions about spine surgery, but patients still need to use extreme caution when turning to these tools for help with medical decision-making.
Machine-learning method aims to predict consequences of serious sleep disorder impacting millions in the U.S.
Ischemic stroke survivors who received care recommendations from an artificial intelligence (AI)-based system had fewer recurrent strokes, heart attacks or vascular death within three months, compared to people whose stroke treatment was not guided by AI tools, according to preliminary late-breaking science presented today at the American Stroke Association’s International Stroke Conference 2024.
Sensory feedback is important for amputees to be able to explore and interact with their environment.
Researchers have developed a sensor made from ‘frozen smoke’ that uses artificial intelligence techniques to detect formaldehyde in real time at concentrations as low as eight parts per billion, far beyond the sensitivity of most indoor air quality sensors.
By studying how CRISPR-Cas works, scientists can predict and design where these tools modify DNA.
The University at Albany has been selected to contribute to a national research consortium that will support and demonstrate pathways to developing safe and trustworthy artificial intelligence.
In patients with major depression disorder it is, thanks to use of artificial intelligence, now possible to predict within a week whether an antidepressant will work
Researchers have developed a new deep learning model that promises to significantly improve audio quality in real-world scenarios by taking advantage of a previously underutilized tool: human perception.
High-risk pregnancy specialists from Cedars-Sinai will share their research findings at the Society for Maternal-Fetal Medicine 2024 Pregnancy Meeting, Feb.10-14, in National Harbor, Maryland.
A study by a scientific team from the University of Vienna and the MedUni Vienna, recently published in the top-class journal Cellular & Molecular Immunology, has a promising result from tumor research: The enzyme phosphoglycerate dehydrogenase (PHDGH) acts as a metabolic checkpoint in the function of tumor-associated macrophages (TAMs) and thus on tumor growth. Targeting PHGDH to modulate the cancer-fighting immune system could be a new starting point in cancer treatment and improve the effectiveness of clinical immunotherapies.
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