news, journals and articles from all over the world.
A new grant from the National Science Foundation will allow a research team including faculty at Binghamton University, State University of New York to perfect a manufacturing technique that could have applications in everything from electronics manufacturing to healthcare.
Henrik Christensen is a computer science professor and the editor of the US Robotics Roadmap. His research currently focuses on AI and self-driving vehicles. Christensen keeps up closely with AI news, has a lot of contacts in industry and is great at…
The analysis of almost 10,000 pregnancies has discovered previously unidentified combinations of risk factors linked to serious negative pregnancy outcomes, finding that there may be up to a tenfold difference in risk for infants who are currently treated identically under clinical guidelines.
Professor Dr. Wilert Puriwat, the President of Chulalongkorn University, has been recognized as “One of the 48 Influential Figures of Trust Thailand 2025” by the …
Data storage improvements are critical in an era of artificial intelligence. Zhichao Cao uses “key value stores” to conserve energy and water without limiting processing speed.
Researchers from the Cleveland Clinic Genome Center have successfully applied advanced artificial intelligence (AI) genetics models to Parkinson’s disease. Researchers identified genetic factors in progression and FDA-approved drugs that can potentially be repurposed for PD treatment.
The npj Parkinson’s Disease report uses an approach called “systems biology,” which uses AI to integrate and analyze multiple different forms of information from genetic, proteomic, pharmaceutical and patient datasets to identify patterns that may not be obvious from analyzing one for of data on its own.
Drawing on his research in automated writing evaluation, Joshua Wilson, associate professor of education at the University of Delaware, can discuss how ai has transformed the teaching and learning of writing by supporting critical thinking and knowledge transformation.
An AI-powered tool created by McMaster University researchers is being released for free to empower and accelerate the work of scientists from around the world who are working to discover new antibiotics. The new tool, developed by leading researchers at…
Professor Dr. Wilert Puriwat, President of Chulalongkorn University, announces the findings from the “Future of Jobs 2025” report. Chulalongkorn University is the only partner institution …
Phnom Penh: Chulalongkorn University reaffirms its role as a regional education leader by strengthening ties with Cambodia. On January 17, 2025, Chulalongkorn University’s executive team, led by …
Using an AI-driven decision support system to predict the severity of COVID-19 and identify best interventions, researchers analyzed electronic health record data from 5,371 patients admitted to a South Florida hospital. The study specifically aimed to forecast the likelihood of patients requiring admission to an ICU, with or without mechanical ventilation, or an intermediate care unit (IMCU). The goal was to leverage these features to enable faster and more accurate forecasting of treatment plans, potentially preventing critical conditions from worsening.
Self-driving cars rely on artificial intelligence to predict where nearby cars will go. But when those predictions don’t match reality, that discrepancy can potentially lead to crashes and less safe roadways. That’s why a recent study from the University of Georgia developed a new AI model to make self-driving cars safer.
Chulalongkorn University (Chula), Thailand’s pre-eminent higher education institution, and Google Cloud today announced the inauguration of ChulaGENIE, a continuous application delivery project that makes the world’s most advanced generative AI (gen AI) capabilities safely, securely, and freely available to Chula’s entire community. ChulaGENIE will be initially available to Chula staff and faculty members in January 2025, with all students receiving access in March 2025. ChulaGENIE stands for ‘Chula’s Generative AI Environment for Nurturing Intelligence and Education.’
Check out the first of a two-part series exploring how artificial intelligence helps researchers from around the world perform cutting-edge science with the lab’s state-of-the-art facilities and instruments. In this part you’ll learn how SLAC researchers collaborate to develop AI tools to make molecular movies, speeding up the discovery process in the era of big data.
Berkeley Lab and several collaborating institutions have successfully demonstrated a machine-learning technique to accelerate discovery of materials for film capacitors — crucial components in electrification and renewable energy technologies.
The University of Arkansas at Little Rock and the Arkansas Research Alliance (ARA) are proud to announce that Dr. Nitin Agarwal, the Maulden-Entergy Chair and Donaghey Distinguished Professor of Information Science at UA Little Rock and an ARA Fellow, has been named to a pivotal working group launched by Gov. Sarah Huckabee Sanders tasked with exploring the safe and effective use of artificial intelligence (AI) within Arkansas state government.
A surge in GPS jamming attacks in drone warfare has inspired Australian researchers to develop a celestial navigation system that uses visual data from stars rather than relying on the global positioning system.
University of Illinois Chicago undergraduate students — in any field of study — will have the opportunity to develop their data and artificial intelligence skills thanks to a $1 million award from Google.org.
As artificial intelligence (AI) becomes more prevalent in health care, organizations and clinicians must take steps to ensure its safe implementation and use in real-world clinical settings, according to an article co-written by Dean Sittig, PhD, professor with McWilliams School of Biomedical Informatics at UTHealth Houston.
Roboticist Hod Lipson Featured in New Bloomberg Docuseries
UM researchers recently developed a new genomics method with the potential to reveal the genetic mechanisms behind human health and disease. The recent publication in the journal Genome Biology offers an innovative new pathway to study the root causes of diseases like cancer and dementia to someday allow for early detection.
Researchers at Children’s Hospital of Philadelphia (CHOP) announced the creation of a new AI technology called CelloType, a comprehensive model designed to more accurately identify and classify cells in high-content tissue images.
Award honors health organizations that successfully drive meaningful change through digital transformation
As scientists across every field grapple with what AI will mean for their work, physician scientist Michael Halassa, an associate professor of neuroscience at Tufts University School of Medicine, is focused on how it could transform the study of cognitive processing, mental illness, and psychiatric medicine.
An international team of neuro-oncology researchers and clinicians has released new recommendations for good clinical practice regarding the use of artificial intelligence methods to more accurately diagnose, monitor and treat brain cancer.
Researchers at the UChicago Medicine Comprehensive Cancer Center and Argonne National Laboratory are partnering to use AI approaches to discover new targets for cancer therapies
Researchers have developed an AI powered model that — in 10 seconds — can determine during surgery if any part of a cancerous brain tumor that could be removed remains, a study published in Nature suggests. The technology, called FastGlioma, outperformed conventional methods for identifying what remains of a tumor by a wide margin. Researchers say it has the potential to change the field of neurosurgery by immediately improving comprehensive management of patients with diffuse gliomas.
Digital Science’s flagship product Dimensions has launched a beta of a new AI-based Natural Language to Query search technology.
Unbound Medicine expands Unbound Intelligence into Nursing Central, integrating AI to enhance nursing education. The new Assist capability helps educators create personalized materials efficiently, saving time and ensuring content is linked to trusted resources, addressing evolving educational needs and challenges.
Digital Science is today calling for greater awareness of the impact that a myriad of fast-developing technologies are having on academics and their institutions.
Rutgers University-New Brunswick leaders have made an initial investment of $10 million to advance the university’s capabilities and expand the scope of its research and scholarship on artificial intelligence and data science, with the expectation of producing the sorts of groundbreaking insights and practical solutions that will mark it as an innovator in the revolutionary technologies.
The John and Daria Barry Foundation will expand clinical and research programs on eye disease
A University of Iowa researcher has developed two algorithms that can be used to reduce AI racial and gender bias in finance and criminal justice. Qihang Lin, associate professor of business analytics, developed the algorithms with the help of an $800,000 grant from NSF and Amazon.
In a new, large comprehensive analysis led by the American Cancer Society (ACS), researchers, using a form of Artificial Intelligence (AI), found that more than one-third of fundraising stories on the GoFundMe crowdfunding platform in the United States explicitly shared experiences of medical financial hardships and health-related social needs
OLD WESTBURY, N.Y. — From Nike and Google to Coca-Cola and McDonald’s, major brands are incorporating artificial intelligence (AI) into their advertising campaigns. But how do consumers feel about robots generating emotionally charged marketing content? That’s the question a New York…
As AI is deployed in clinical centers across the U.S., one important consideration is to assure that models are fair and perform equally across patient groups and populations. To better understand the fairness of medical imaging AI, a team of researchers trained over 3,000 models spanning multiple model configurations, algorithms, and clinical tasks.
Researchers at Case Western Reserve University and Vanderbilt University are pioneering a new approach to prostate cancer surgery by combining advanced robotics and “low-field” MRI technology.
Researchers explored how infants act purposefully by attaching a colorful mobile to their foot and tracking movements with a Vicon 3D motion capture system. The study tested AI’s ability to detect changes in infant movement patterns. Findings showed that AI techniques, especially the deep learning model 2D-CapsNet, effectively classified different stages of behavior. Notably, foot movements varied significantly. Looking at how AI classification accuracy changes for each baby gives researchers a new way to understand when and how they start to engage with the world.
UCLA researchers have developed a deep-learning framework that teaches itself quickly to automatically analyze and diagnose MRIs and other 3D medical images – with accuracy matching that of medical specialists in a fraction of the time.
Digital Science announces the AI-powered ReadCube Pro, offering researchers new tools to simplify and accelerate literature management and literature monitoring workflows.
New AI model identifies possible therapies from existing medicines for thousands of diseases, including rare ones with no current treatments.
The AI tool generates new insights on its own, applies them to conditions it was not trained for, and offers explanations for its predictions.
In a multisite randomized controlled trial published in JAMA Network Open in September 2024, the use of Ceevra 3D models in robotic prostatectomy procedures were shown to reduce risk of cancer recurrence, improve functional outcomes, and improve rates of trifecta outcomes.
Patent analysis shows how world leader in microchips has risen to the top in a constrained global market A new analysis of semiconductor patents released today by IFI CLAIMS Patent Services helps to explain why the recently embattled Nvidia is…
Case Western Reserve University and the Louis Stokes Cleveland VA Medical Center have been awarded a $1.14M grant from the U.S. Department of Veterans Affairs to use artificial intelligence (AI) to determine the best personalized treatment for Veterans with rectal cancer.
As artificial intelligence networks become more skilled and easier to access, digitally manipulated “deepfake” photos and videos are increasingly difficult to detect. New research led by Binghamton University, State University of New York breaks down images using frequency domain analysis techniques and looks for anomalies that could indicate they are generated by AI.
Mount Sinai Health System and IBM Research today announced the launch of the Phenotypes Reimagined to Define Clinical Treatment and Outcome Research (PREDiCTOR) study. The research effort aims to address the lack of objective measures in psychiatry by leveraging advances in artificial intelligence and incorporating rich behavioral data from clinical interviews, at-home data captured on smartphones, and cognitive testing.
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.
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.
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.
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.
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