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UrduA Korean research team has succeeded in developing a technology that can detect and predict signs of criminal activities utilizing real-time CCTVs and AI technology.
Tag: Artificial Intelligence
Researchers uncover new infection-fighting molecules through “molecular de-extinction”
A new study led by Cesar de la Fuente, PhD, Presidential Assistant Professor of Psychiatry, Microbiology, Chemistry, Chemical and Biomolecular Engineering, and Bioengineering at the University of Pennsylvania, has uncovered sequences for infection-fighting molecules in the genomic data of extinct…
Thin film ferroelectric photonic-electronic memory
An international team led by Professor Gong Xiao from the National University of Singapore has developed a groundbreaking non-volatile photonic-electronic memory chip, published in Light: Science & Applications.
False election information from AI chatbots — expert explains what to guard against and avoid
Anyone who uses artificial intelligence (AI)-driven chatbots or voice assistants for election information should know these tools might provide misleading or false information. Virginia Tech digital literacy expert Julia Feerrar makes recommendations for sorting AI-generated fiction from fact.
Department of Energy Announces $68 Million in Funding for Artificial Intelligence for Scientific Research
The use of Artificial Intelligence (AI) in scientific research is a top priority at the Department of Energy (DOE), which today announced $68 million in funding for 11 multi-institution projects, comprising 43 awards.
Expert Available: US, UK, EU and Israel Sign First Legally Binding International Treaty on AI
The treaty ensures these groups must implement safeguards against any threats posed by AI to human rights, democracy and the rule of law. …
Using AI to prevent ruptured brain aneurysms
Bioengineering Ph.D. student Holly Berns won a grant from the Brain Aneurysm Foundation to study how AI and other new technologies can change how aneurysms are discovered and treated. Her project will use AI and machine learning to examine how arteries leading to the brain are tilted and whether that tilt contributes to the formation and rupture of brain aneurysms.
FAU Engineering Professor Achieves Milestone as Highly Cited Google Scholar
Dr. Khoshgoftaar’s scientific publications have garnered more than 63,500 citations during his distinguished career at FAU (1985 to present), yielding a Google Scholar h-index of 95.
Notre Dame researchers create new tool to analyze embodied carbon in more than 1 million buildings in Chicago
The impact of embodied carbon in the built environment has been difficult to assess, due to a lack of data. To address that knowledge gap, Ming Hu, the associate dean for research, scholarship and creative work in Notre Dame’s School of Architecture, and Siavash Ghorbany, a Notre Dame graduate student in civil and environmental engineering, have created a new tool to analyze the embodied carbon in more than 1 million buildings in Chicago. Their recently published research identifies 157 different architectural housing types in the city and provides the first ever visual analysis tool to evaluate embodied carbon at a granular level and to help inform policymakers seeking to strategically plan for urban carbon mitigation.
A New Artificial Intelligence Tool for Cancer
The new approach marks a major step forward in the design of AI tools to support clinical decisions in cancer diagnosis, therapy.
The model uses features of a tumor’s microenvironment to forecast how a patient might respond to therapy and to help inform individualized treatments.
New tool detects fake, AI-produced scientific articles
A team including faculty at Binghamton University, State University of New York has created a machine-learning algorithm that can detect up to 94% of bogus academic papers — nearly twice as successfully as more common data-mining techniques.
Digital Science unveils Papers Pro: Revolutionizing scholarly research with advanced AI-powered features
Digital Science announces the launch of Papers Pro, an AI-enhanced premium version of its acclaimed reference manager, Papers.
ASTRO 2024 Tip Sheet From Sylvester Comprehensive Cancer Center
Research findings from Sylvester Comprehensive Cancer Center and the Miller School of Medicine at the University of Miami will be presented at ASTRO 2024 – the American Society for Radiation Oncology’s annual meeting Sept. 29 – Oct. 2 in Washington D.C. Below are titles for oral presentations, posters and special sessions in which our researchers will be involved.
Long-Duration Energy Storage Can’t Wait
Long-duration energy storage gets the spotlight in a new Energy Storage Research Alliance featuring PNNL innovations, like a molecular digital twin and advanced instrumentation.
$1.8M NIH Grant to FAU Engineering Fuels Quest to Decode Human Evolution
FAU has received a five-year NIH grant to further research on designing and applying statistical methods to identify regions of the genome affected by natural selection, which is an important evolutionary force that enables humans to adapt to new environments and fight disease-causing pathogens.
Reconfigurable memlogic LWIR sensing with superconductors
Superconducting memlogic sensors merge in-cell logic and memory, advancing machine vision beyond traditional computing. These sensors utilize the quantum-sensitive and broad-spectrum capabilities of superconductors. We introduce a long-wave infrared sensor using superconductor-normal phase bistability, enabling deterministic, persistent switching.
VENUS rising: A new dawn for AI-powered atomic-scale 3D imaging
The Department of Energy’s Oak Ridge National Laboratory added a new neutron scattering instrument to its powerhouse of discovery at the Spallation Neutron Source, charting new territory for neutron imaging through artificial intelligence. In July, DOE’s Office of Science approved the final commissioning of the Versatile Neutron Imaging Instrument, or VENUS.
Machine learning predicts which patients will continue taking opioids after hand surgery
A machine learning algorithm performs well in predicting the risk of persistent opioid use after hand surgery, reports a study in the August issue of Plastic and Reconstructive Surgery®, the official medical journal of the American Society of Plastic Surgeons (ASPS). The journal is published in the Lippincott portfolio by Wolters Kluwer.
Bridging the chasm between technology and clinicians
While the use of artificial intelligence (AI) for medical diagnosis is growing, new research by the University of Adelaide has found there are still major hurdles to cover when compared to a clinician. In a paper published in The Lancet Digital Health, Australian Institute for Machine Learning PhD student Lana Tikhomirov, Professor Carolyn Semmler and team from the University of Adelaide, have drawn on external research to investigate what’s known as the ‘AI chasm’.
Large language models can help detect social media bots — but can also make the problem worse
A team led by University of Washington researchers found that large language models, such as ChatGPT, can make social media bots more sophisticated at evading detection. But these models can also improve systems that detect bots.
Swifter simulations for modern science. All of it
In a machine learning paper recently published in the journal npj Computational Materials, a team of researchers from Sandia National Laboratories and Brown University have introduced a universal way to accelerate virtually any kind of simulation.
eXeX Secures $5.8M in Seed Funding to Revolutionize Surgical Procedures Worldwide and Welcomes Michael Dykier as New CTO
eXeX, a pioneering med tech company utilizing artificial intelligence and spatial computing to optimize surgical procedures, today announced the successful closing of a $5.8 million priced seed round. This milestone comes just two years after the company’s inception and marks a significant step forward in its mission to enhance surgical healthcare globally.
A human-centered AI tool to improve sepsis management
A proposed artificial intelligence tool to support clinician decision-making about hospital patients at risk for sepsis has an unusual feature: accounting for its lack of certainty and suggesting what demographic data, vital signs and lab test results it needs to improve its predictive performance.
ChatGPT shows promise in answering patients’ questions to urologists
The groundbreaking ChatGPT chatbot shows potential as a time-saving tool for responding to patient questions sent to the urologist’s office, suggests a study in the September issue of Urology Practice®, an Official Journal of the American Urological Association (AUA). The journal is published in the Lippincott portfolio by Wolters Kluwer.
AI and Plato clash
Researchers from the University of Adelaide advise that more caution should be exercised for the use of generative artificial intelligence (AI) in educational contexts. This comes after a new study highlights key differences between modern technology and important ancient philosophy in education.
FAU Engineering to Lead $1.3M Collaborative Conservation Project
Tracking marine animals at both individual and group levels is crucial for wildlife conservation. Researchers will develop and employ generative AI to identify, track, and analyze behavior of marine animals (with a focus on manatees), and address traditional tracking cost-precision trade-offs.
Rutgers Researchers Explore Potential for Artificial Intelligence (AI) in Biomedical Science
New Brunswick, N.J., August 21, 2024 – Generative artificial intelligence (AI) powered by human language has made remarkable progress and gained widespread use through tools such as ChatGPT. While it is mostly known for helping with reading and writing, scientists are…
Survey: Most Americans comfortable with AI in health care
Artificial intelligence (AI) is all around us – from smart home devices to entertainment and social media algorithms. But is AI okay in health care? A new national survey commissioned by The Ohio State University Wexner Medical Center finds most Americans believe it is, with a few reservations.
Cedars-Sinai Investigators Automate Mitral Regurgitation Detection, Diagnosis
Investigators with the Smidt Heart Institute at Cedars-Sinai have developed an artificial intelligence (AI) program to detect the presence and severity of mitral valve regurgitation, the most common heart valve disorder.
Peering into the mind of artificial intelligence to make better antibiotics
Artificial intelligence (AI) has exploded in popularity, but it’s hard to know what’s going on inside. Explainable AI (XAI) gives justification for an AI model’s decisions, and now, researchers are using it to make better antibiotics. They will present their results at ACS Fall 2024.
Expert Available: New Union Deal Allows Actors to Sell the Rights of their Voices for Advertisers to Replicate with AI
A SAG-AFTRA official says not all actors will be interested, but this deal now allows actors who are interested in selling the rights to their voices a safe way to do so. …
Patterns of Intelligence
The coordinated activity of brain cells, like birds flying in formation, helps us behave intelligently in new situations, according to a study led by Cedars-Sinai investigators.
New FSU research shows statistical analysis can detect when ChatGPT is used to cheat on multiple-choice chemistry exams
Research by a Florida State University chemist and colleague revealed how the use of ChatGPT to cheat on general chemistry multiple-choice exams can be detected through specific statistical methods
University of Delaware experts share insights and strategies for navigating the upcoming school year
The College of Education and Human Development in the University of Delaware has a number of stories and experts for the upcoming school year.
Using photos or videos, these AI systems can conjure simulations that train robots to function in physical spaces
Two new studies introduce AI systems that use either video or photos to create simulations that can train robots to function in the real world. This could significantly lower the costs of training robots to function in complex settings.
Yale surgeon available to discuss AI diagnosis of Marfan Syndrome from facial photographs
In a recent study, researchers at Yale School of Medicine showed that artificial intelligence can diagnose Marfan Syndrome from a simple facial photograph at 98.5% overall accuracy. The genetic disorder usually results in a tall, thin frame, and can also…
Building a better surgeon: FAMU-FSU College of Engineering researchers develop artificial intelligence tool for surgical training
New research from the FAMU-FSU College of Engineering could help give surgeons better training for their crucial work. The Google endowed dean of the college, Suvranu De, led the development of an AI-powered tool that helps to train surgeons by analyzing video of their surgical technique and providing feedback.
Argonne’s AI Testbed gives researchers access to cutting-edge AI systems for science
The Argonne Leadership Computing Facility’s AI Testbed is a growing collection of some of the world’s most advanced AI accelerators available for open science.
AI boosts the power of EEGs, enabling neurologists to quickly, precisely pinpoint signs of dementia
Mayo Clinic scientists are using artificial intelligence (AI) and machine learning to analyze electroencephalogram (EEG) tests more quickly and precisely, enabling neurologists to find early signs of dementia among data that typically go unexamined.
New Integrated Risk Analysis Framework Enhances Cybersecurity for SMEs
MARISMA is a risk analysis framework designed to improve cybersecurity for businesses by offering adaptive, real-time protection for digital assets against evolving threats.
FAU Researcher Receives Grant to Personalize Radiation Therapy for Cancer
While chemotherapy has advanced in personalization, personalized radiation therapy for cancer remains underdeveloped. A new project will use AI, in particular, deep reinforcement learning, to analyze multimodal data, and enhance cancer characterization and treatment to ultimately improve patient outcomes. Using personal health data, genetic information about the tumor, and patient treatment and follow-up data, digital twins will simulate diagnoses and treatment options to help physicians choose the most effective treatments and monitor responses over time.
JMIR XR and Spatial Computing is inviting submissions for a new theme issue titled “First Look: Early Research, Viewpoints, and Experiences with Apple Vision Pro in Health Care Settings”
JMIR Publications invites submissions to a new theme issue titled “First Look: Early Research, Viewpoints, and Experiences with Apple Vision Pro in Health Care Settings” in its new open access journal JMIR XR and Spatial Computing.
Scientists develop new artificial intelligence method to create material ‘fingerprints’
Researchers at the Advanced Photon Source and Center for Nanoscale Materials of the U.S. Department of Energy’s Argonne National Laboratory have developed a new technique that pairs artificial intelligence and X-ray science.
Smart diagnostics: How Argonne could use Generative AI to empower nuclear plant operators
In a new conference paper, Argonne engineers test advanced AI to see if it could help nuclear power plant operators understand and fix problems more easily.
As Paris 2024 Summer Olympic Games approach, experts give tips for athletes, weekend warriors, and travelers
With less than a month until the Summer Olympic Games in Paris, and with Olympic Trials taking place all around the world in different sports, Virginia Tech experts offer perspective on aspects of the competitions, applying Olympic habits to our own lives, and how the Games are impacting both travel to and life on the ground in Paris.
UAlbany Chemist Available to Discuss Eli Lilly Alzheimer’s Drug
ALBANY, N.Y. (July 9, 2024) — Last week, the Food and Drug Administration (FDA) approved a new Alzheimer’s medication developed by Eli Lilly that has shown in clinical trials to moderately delay the progression of memory and cognitive decline in…
John A. Morren, MD, Selected to Speak at the 2024 AANEM Annual Meeting
The American Association of Neuromuscular & Electrodiagnostic Medicine (AANEM), is excited to announce John A. Morren, MD, as a plenary speaker at the 2024 AANEM Annual Meeting Oct. 15-18, in Savannah, Georgia.
UAH researcher publishes study tapping social media and AI to speed supply chain assistance during disasters
A doctoral candidate at The University of Alabama in Huntsville (UAH) is lead author of a new study in the International Journal of Production Research investigating the ways social media platforms can be leveraged with artificial intelligence (AI) to provide vital communication connecting victims of disaster to outside aid and support.
Machine learning could aid efforts to answer long-standing astrophysical questions
PPPL physicists have developed a computer program incorporating machine learning that could help identify blobs of plasma in outer space known as plasmoids. In a novel twist, the program has been trained using simulated data.
Balancing Act: Novel Wearable Sensors and AI Transform Balance Assessment
Traditional methods to assess balance often suffer from subjectivity, aren’t comprehensive enough and can’t be administered remotely. They also are expensive and require specialized equipment and clinical expertise.