A new Columbia Nursing study reveals the importance of integrating patient-nurse verbal communication data into patient risk identification models for home health care.
Researchers develop deep learning AI tool that generates life-like birdsongs to train bird identification tools. This helps ecologists monitor rare species in the wild.
A team of scientists from Jefferson Lab and the University of Virginia have turned to machine learning in the quest to streamline beam tuning on the Continuous Electron Beam Accelerator Facility – and reduce accelerator downtime.
The world’s total population is expected to reach 9.9 billion by 2050. This rapid increase in population is boosting the demand for agriculture to cater for the increased demand. Below are some of the latest research and features on agriculture and farming in the Agriculture channel on Newswise.
Now that ChatGPT has revealed connections in meaning that can emerge from the simple premise of predicting the next word, a team of researchers led by the University of Michigan aims to do the same for atoms strung together to build molecules.
The team that built Frontier set out to break the exascale barrier, but the supercomputer’s record-breaking didn’t stop there.“The exascale number marks a major milestone itself, but it also marks the beginning of a new chapter in high-speed computing,” said Feiyi Wang, an Oak Ridge National Laboratory computer scientist who leads research into artificial intelligence and analytics.
In the eighth annual The State of Open Data report released today, almost three quarters of surveyed researchers overwhelmingly said they are still not getting the support they need to share their data openly. Such data highlights the increased need for greater community collaboration and tools to support researchers in the move to sustainable open science practices.
Khaled Abdelghany, a professor of civil and environmental engineering at SMU (Southern Methodist University), has been awarded a three-year, $1.2 million grant by the Federal Highway Administration. The grant aims to develop a computer program that utilizes artificial intelligence to enhance the safety and efficiency of intersections for both vehicles and pedestrians.
A new AI technique could guide real-time GBM treatment. Researchers are using MRI-guided radiation therapy that pairs daily MRIs with radiation treatment -- automatically tracing tumors in large MRI datasets.
AI-generated white faces are now perceived as more real than human faces, but not AI-generated faces of people of color. This is because AI algorithms are trained on disproportionately white faces.
A new international consortium brings together teams of researchers to create trustworthy and reliable generative AI models to address critical scientific and engineering challenges.
The use of disciplines in pure mathematics can increase the reliability and explainability of machine learning models that “transcend human intuition,” according to PNNL scientists.
Jefferson Lab and Old Dominion University are launching a unique joint institute that will leverage the lab’s specialties in data science and computing in an effort to tackle the most pressing problems and disparities at the intersection of health and the environment in Hampton Roads.
A team led by researchers at the University of Washington has developed deep-learning algorithms that let users pick which sounds filter through their headphones in real time. Either through voice commands or a smartphone app, headphone wearers can select which sounds they want to include from 20 classes, such as sirens, baby cries, speech, vacuum cleaners and bird chirps.
Scientists at Oak Ridge National Laboratory used their expertise in quantum biology, artificial intelligence and bioengineering to improve how CRISPR Cas9 genome editing tools work on organisms like microbes that can be modified to produce renewable fuels and chemicals.
A variation of sonar technology – in miniature form, developed by Cornell University researchers – is proving a game-changer in wearable body-sensing technology.
n a new study being presented at this year’s ACAAI Annual Scientific Meeting in Anaheim, Calif., ChatGPT was asked to rate 10 common allergy myths, and it judged their accuracy correctly 91% of the time.
Yong-Lak Park, professor of entomology at the West Virginia University Davis College of Agriculture, Natural Resources and Design, is researching the efficacy of dropping natural enemy insects on invasive plants using drone technology and artificial intelligence as a means of destroying these plants more efficiently.
Vanderbilt University Medical Center (VUMC) and Duke University School of Medicine have been awarded a $1.25 million grant from the Gordon and Betty Moore Foundation for the project “Measuring Artificial Intelligence (AI) Maturity in Healthcare Organizations.”
FINDINGS GPT-4 conversational artificial intelligence (AI) has the ability to diagnose and triage health conditions comparable to that provided by board certified physicians, and its performance does not vary by patient race and ethnicity. BACKGROUND While GPT-4, a conversational artificial intelligence, “learns” from information on the internet, the accuracy of this form of AI for diagnosis and triage, and whether AI’s recommendations include racial and ethnic biases possibly gleaned from that information, have not been investigated even as the technology’s use in health care settings has grown in recent years.
Marketing Association of Thailand, in partnership with Asia Marketing Federation, is delighted to present the prestigious "3rd World Marketing Forum."
University of Houston researchers use machine learning and SHAP analysis to pinpoint air pollution sources
AI analysis shows pollution levels, extreme weather events and increasing temperatures devastates biodiversity in freshwater lakes.
Technology is edging closer and closer to the super-speed world of computing with artificial intelligence. But is the world equipped with the proper hardware to be able to handle the workload of new AI technological breakthroughs?
Rakuten Medical, Inc., a global biotechnology company developing and commercializing precision, cell-targeted therapies based on its proprietary Alluminox™ platform today announced the presentation of two posters of AI-based analyses at the 38th Annual Meeting of the Society for Immunotherapy of Cancer (SITC), held November 3-5, 2023, in San Diego, CA (SITC 2023).
Argonne scientists recognized for use of exascale computing tools to achieve high-fidelity simulations of advanced nuclear reactor systems and high-resolution simulations that reduce uncertainty in climate model predictions.
A hardware accelerator initially developed for artificial intelligence operations successfully speeds up the alignment of protein and DNA molecules, making the process up to 10 times faster than state-of-the-art methods.
Defects in two-dimensional (2D) materials can give these materials special properties, but analyzing defects for useful variants is time consuming. Researchers developed an automated method to analyze these materials that combines scanning tunneling microscopy with artificial intelligence and machine learning.
New study shows patients shouldn’t put their full trust in the current state of general purpose artificial intelligence.
Researchers at the University at Albany’s School of Public Health are actively exploring ways that artificial intelligence and machine learning can be applied to public health, to enhance health outcomes for patients while prioritizing patient safety and data security.
Seven researchers at the University of Washington conducted a three-month autoethnographic study — drawing on their own experiences as people with and without disabilities — to test AI tools’ utility for accessibility. Though researchers found cases in which the tools were helpful, they also found significant problems.
Researchers at Argonne are harnessing the power of machine learning to enhance the safety and efficiency of next-generation nuclear reactors. Using a specialized model, researchers may be able to detect anomalies in reactor operations even when they are masked by other noises, ensuring a safer energy future.
In a world increasingly aware of the environmental challenges posed by microplastics, a pioneering study conducted by Ruxandra Malina Petrescu-Mag from Babes-Bolyai University, and published in PeerJ Life & Environment, sheds new light on the impact of media narratives on public perception and awareness of microplastic risks.
Industry needs better ways to diagnose the batteries that power these devices to ensure their safety, performance and reliability from inception to recycling.
FragDPI, a novel drug-protein interaction prediction method, outperforms baselines and identifies specific interaction parts, aiding drug discovery
A roundup of the latest medical discoveries and faculty news at Cedars-Sinai.
Virginia Tech has a number of experts available to speak on topics surrounding the election including Virginia legislative races, issues such as abortion and education rights, campaign finance, and more. To schedule an interview, please contact [email protected]. Topics: Virginia legislative races, effects of redistricting, campaign spending, reproductive rights, public education, possible implications of state legislative results for policy/emphases in Virginia, what results tell us about the 2024 presidential race.
Argonne National Laboratory is leading research to reimagine more energy efficient microelectronics for a future driven by data and artificial intelligence.
Imagine a world without powders. It may sound exaggerated, but our daily lives are intricately connected to powders in various ways from foods, pharmaceuticals, cosmetics to batteries, ceramics, etc
Chulalongkorn University congratulates Assoc. Prof. Dr. Racchaneekorn Hongphanut, Department of Curriculum and Instruction, Faculty of Education, Chulalongkorn University, on winning the Best Woman Inventor Awards in iCAN 2023 for the project titled “Metaverse Historicovator for History Learning Media to Promote Self-Directed Learning in The Bani Era” at the 8th International Invention Innovation Competition in Canada, iCAN 2023.
A panel of leading surgeons convened recently to discuss the transformative role of artificial intelligence (AI) in modern surgical practices. The surgeons, all pioneers in adopting AI into their work and studying potential applications, illustrated how this technology is revolutionizing patient care before, during, and after surgery.
Nagoya University researchers used AI to design and synthesize a new, highly effective gastric acid inhibitor, demonstrating the potential of AI in pharmaceutical development.
As urbanization advances around the globe, the quality of the urban physical environment will become increasingly critical to human well-being and to sustainable development initiatives. However, measuring and tracking the quality of an urban environment, its evolution and its spatial disparities is difficult due to the amount of on-the-ground data needed to capture these patterns. To address this issue, Yong Suk Lee, assistant professor of technology, economy and global affairs in the Keough School of Global Affairs at the University of Notre Dame, and Andrea Vallebueno from Stanford University used machine learning to develop a scalable method to measure urban decay.
The rise of the capabilities of artificial intelligence (AI) systems has led to the view that these systems might soon be conscious. However, we might underestimate the neurobiological mechanisms underlying human consciousness.
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