Articles tagged with Artificial Intelligence
A team of researchers from the University of Tokyo used AI and fMRI to study brain activity while participants viewed dance clips. They found that experts exhibited more diverse neural patterns than non-experts, suggesting a greater freedom in artistic expression.
A new study shows that AI-assisted interviews can diagnose mental illnesses with higher accuracy than traditional rating scales. The AI assistant Alba was able to differentiate between diagnoses that often overlap and received positive feedback from participants for its empathic and supportive user experience.
Researchers aim to understand and overcome the limitations of current large language models, which make mistakes despite extensive training. The Emmy Noether Research Group will focus on developing new architectures with predictable capabilities.
A Drexel University study found that providing both AI-synthesized information and treatment recommendations to emergency medical doctors improved diagnostic accuracy. The technology was tested in a simulated environment, where participants made correct decisions in 64.4% of scenarios with full support.
A new Australian study computes the creative ability of LLMs using standard mathematical principles, showing a maximum of 0.25 on a scale from 0 to 1. The findings challenge widespread assumptions about AI's creative powers and offer clarity amid a global debate.
Researchers have developed sustainable carbon materials that can remove harmful pollutants from water with high selectivity and reusability. These materials also show promise in energy storage, sensing, and catalysis applications.
A new report warns that AI can worsen health disparities in brain disease diagnoses if proper safeguards are not implemented. Researchers call for diverse perspectives, AI education, and strong governance to ensure equitable implementation.
Research on 2009–2020 data from 509 US firms found lower AI adoption associated with reduced job satisfaction, while higher levels led to decreased morale. Moderate AI adoption, however, was linked to greater job satisfaction, with employees in high-exploration-oriented companies tolerating higher levels of AI adoption.
The 2025 European Scientific Conference on Applied Infectious Disease Epidemiology (ESCAIDE) brings together over 3,000 participants to exchange knowledge and strengthen collaboration in infectious disease prevention and control. The conference highlights urgent priorities such as building trust in science, demonstrating science-based ...
Researchers have developed a system called CytoDiffusion that uses generative AI to study the shape and structure of blood cells. The system can accurately identify normal blood cell appearances and spot unusual or rare cells that may indicate disease, outperforming existing systems in tests.
Two new studies found that ambient clinical documentation tools can cut down on administrative time and help physicians be more mentally healthy and present with patients. Clinicians who used the tool reported lower burnout and lighter cognitive load, while also spending less time interacting with electronic health records.
PRX Intelligence, a new open access journal from APS, publishes high-impact research on AI and machine learning advancing physical sciences. The journal accepts submissions starting Feb 2026, with flexible article formats and no publication charges for 2026 manuscripts.
A new AI tool, SMMILe, can rapidly analyze complex cancer images and provide detailed information about tumor lesions, including their locations and proportions. This could lead to more accurate diagnoses and personalized treatment options for patients.
A new report by the University of Warwick finds that artificial intelligence is being developed primarily for efficiency and service improvements, rather than benefits for local communities. The report calls for greater public participation in AI policy design to ensure technologies deliver tangible benefits where they are needed most.
A study of 258 published novelists in the UK found that half believe AI will replace their work entirely. The majority also report using AI for non-creative tasks like information searches and editing text written without AI. However, many express concerns about copyright laws not being respected and originality being lost.
The University of Liverpool has announced an ambitious plan to establish the UK's flagship AI-driven materials discovery centre, AIM-HI. The centre will focus on areas such as catalysis, materials for net-zero, soft matter, and product formulation, driving innovation in sectors crucial to the UK economy.
Four industry luminaries will discuss the use of AI-driven network architectures, advances in optical technologies for hyperscale datacenters, and laser-based communications between satellites. The talks highlight innovations in hardware solutions to meet increasing performance demands necessary for AI, datacenters and networks.
The partnership aims to co-develop and evaluate next-generation self-amplifying RNA (saRNA) vaccines targeting seasonal and pandemic influenza. Apriori's Octavia platform will be combined with A*STAR IDL's saRNA delivery technology to develop improved H5 influenza vaccines that anticipate infection in humans.
Recent advances in multimodal imaging, including MRI, diffusion imaging, perfusion imaging, MRS, and PET/CT, have improved early detection and differential diagnosis of radiation-induced brain injury (RIBI). Emerging therapeutic strategies target underlying pathological mechanisms, such as neuroinflammation, oxidative stress, and vascu...
Researchers developed a new approach called SEAL that enables large language models (LLMs) to update themselves permanently. This allows LLMs to learn from user input and improve their performance on tasks like question-answering and pattern-recognition. The technique improves accuracy and enables smaller models to outperform larger ones.
A new model called DAC enables medical image segmentation with limited labelled data, achieving consistent generalization across unseen domains. The approach uses feature-level supervision and asymmetric co-training to reduce errors, especially in low-contrast structures.
A new study uses graph representation learning to enhance bookkeeper decision support for bank reconciliation. The method significantly improves match accuracy, especially on one-to-many matches, by leveraging a network of historical records and transactions.
The world's online population grew to 6 billion, while 2.2 billion remain offline, highlighting the importance of digital infrastructure, affordable services, and skills training to achieve universal connectivity. Deep digital divides persist, with uneven coverage, affordability, and skill levels across high- and low-income countries.
The new facility can test thermal performance of heat exchangers and cooling equipment up to five megawatts, supporting the growing $30 billion data center cooling industry. SwRI offers customized testing services, including coolant distribution units and secondary side pumps, and replicates real-world conditions.
Researchers will study neural mechanisms of visual perceptual learning (VPL) to generalize across the visual field, improving vision rehabilitation and AI systems. The project aims to develop a unified model of visual processing, VPL, and attention.
Security researchers have developed a defense mechanism that protects against cryptanalytic parameter extraction attacks on AI systems. By making neurons in the same layer similar to each other, the defense creates a barrier of similarity that makes it difficult for attacks to proceed.
The book highlights how AI tools enhance crop monitoring, pest control, and water conservation through data-driven insights and predictive modeling. It offers practical guidance for researchers, agricultural professionals, and technologists on applying AI responsibly in rural and emerging economies.
A new study reveals AI can corrupt public opinion surveys at scale, passing quality checks and flipping predicted outcomes with fake responses. The findings have significant implications for scientific research and policy-making, highlighting the need for transparency and verification of human participation.
The European Centre for Medium-Range Weather Forecasts (ECMWF) and several National Meteorological Services across Europe have been honored with the 2025 HPCwire Readers’ and Editors’ Choice Award for
Researchers at RIKEN successfully simulated the Milky Way Galaxy with over 100 billion individual stars, far surpassing previous state-of-the-art models. This achievement demonstrates the power of AI-accelerated simulations in tackling complex multi-scale problems in astrophysics and beyond.
Generative Artificial Intelligence could lead to a renewed emphasis on conversational approaches to teaching, researchers argue. This involves teachers and students exploring problems together, discussing ideas from different angles, and testing concepts through collaborative work.
This book offers a comprehensive exploration of AI-driven analytics in finance, addressing market prediction, fraud detection, and risk assessment. It also discusses AI applications in healthcare and cybersecurity, including disease classification and biometric identification systems.
Researchers at Terasaki Institute and Caltech will use stem cell-based models to identify factors influencing early human development. The goal is to gain insights into infertility, pregnancy loss, and developmental disorders.
Artificial intelligence is being used to improve diagnostic accuracy in molecular pathology, with studies showing 93% accuracy for cancer diagnosis. Researchers are also using AI to analyze chromosomal changes in blood cancer patients and provide personalized treatment plans.
A University of Delaware team, funded by NSF, creates next-generation secure computer chips using AI and game theory. The project aims to predict attacks and set new benchmarks for global hardware security, enabling the design of safer and more trustworthy systems.
Researchers used machine learning to uncover structures in finite simple groups, discovering a new theorem on necessary properties of generators. The 2-generator representation shows simplicity has interesting data structure, shedding light on the role of artificial intelligence in pure math.
The American Psychological Association's new health advisory emphasizes that generative AI chatbots and wellness applications lack scientific evidence to ensure user safety. Despite their low cost and accessibility, these tools are not a substitute for systemic solutions to the mental health crisis.
Researchers at UCSF used AI to analyze clinical notes from multiple providers to improve HRS diagnosis accuracy. The technology offers a unified summary of the care team's consensus, aligning care decisions and expediting treatment plans.
A new study found that while parents are willing to accept AI-generated images in children's stories with certain conditions, they raise concerns about errors in illustrations that might encourage unsafe behavior or lack real-world accuracy. Parents prefer clear notification on the cover of the story if AI was used to create images.
The University of Maine has launched internships in AI and digital twins to prepare students for careers in the growing blue economy. Students will work with real-time data, build virtual replicas of ocean structures, and test complex marine scenarios.
Dr. Christina Richey joins the SETI Institute with extensive experience in research management, strategic collaboration, and science leadership. She will focus on creating sustainable partnerships and funding opportunities to support the institute's long-term growth and mission.
The new statistical method adapts to data structure, resisting outliers and providing greater stability on non-Euclidean spaces. This improves the reliability of analysis in areas like medical imaging, computer vision, and machine learning.
A Dartmouth study finds that AI-powered chatbots can deliver personalized learning to large numbers of students. The researchers created an AI teaching assistant called NeuroBot TA that provides around-the-clock individualized support for students, which they found to be more trusted than general chatbots.
Medical imaging foundation models revolutionize cancer precision medicine by integrating multimodal data, AI algorithms, and large language models. They enhance diagnostic accuracy and clinical interpretability, facilitating personalized therapy and intelligent clinical decision support.
Researchers have summarized recent breakthroughs in theranostic nanomaterials, engineered nanoparticles that can both diagnose and treat TBI. These materials can deliver drugs precisely where damage occurs while monitoring biological changes inside the brain.
JMIR Publications has integrated Signals Manuscript Checks into its publication process, utilizing AI-powered tools to streamline research integrity evaluations. This partnership aims to increase efficiency and quality, ensuring high standards of scientific integrity in published research.
A recent FAU Engineering study leverages quantum computing to enhance the accuracy of chronic kidney disease (CKD) diagnosis. The research team developed and compared two automated systems: Classical Support Vector Machine (CSVM) and Quantum Support Vector Machine (QSVM). CSVM achieved remarkable 98.75% accuracy, while QSVM reached 87....
A recent study finds that artificial intelligence has a negligible effect on global greenhouse gas emissions. The researchers' analysis of US energy consumption and AI use across industries revealed that the energy usage from AI in the US equals the energy consumption for all of Iceland, but not noticeable on a global scale.
Researchers from the University of Liège examined the capabilities of Midjourney and DALL·E to produce images from simple sentences, revealing both aesthetic feats and beginner's mistakes. The study highlights the limitations of translation between verbal and visual language.
Large language models systematically rate speakers of German dialects less favorably than those using Standard German, associating dialects with negative traits. The bias grows when dialects are explicitly mentioned, and larger models display even stronger biases.
Researchers develop a new AI approach to simulate the Earth system, enabling better estimates of local impacts on ecosystems and societies. The WOW project aims to couple AI models across scales of space and time, revealing hidden connections in the climate system.
The ESMO Congress on Artificial Intelligence and Digital Oncology features a diverse range of presentations on multimodal AI for clinical decision support, AI-based biomarkers for precision oncology, and digital health in practice. The congress also explores ethics, regulation, and patient perspectives.
A new report from Northwestern University offers six practical strategies to improve the doctor-patient bedside encounter in an era dominated by AI. By employing these strategies, clinicians can strengthen patient-physician relationships, combat inequities, and reduce burnout, ultimately leading to better patient outcomes.
The University of Osaka and NEC have demonstrated a wide-area distributed campus AI processing platform, enabling on-demand use of GPUs from compute servers via an optical network. This platform leverages NEC's ExpEther technology to connect and disconnect devices across campus, improving efficiency and optimizing GPU utilization.
Researchers developed CellWhisperer, an AI method and software tool that links gene expression with descriptive text across millions of biological samples. It provides a virtual AI-based colleague to support biologists in their research, making biomedical data exploration easier and more exciting.
A new study finds that generative AI can help define viable objectives for organizational and policy decision-making, but the overall quality of those objectives falls short without human intervention. The research suggests that AI tools are valuable brainstorming partners, but sound decision analysis still requires a 'human in the loop'.
Omni-modal language models integrate perception, understanding, and reasoning within a unified framework, bringing AI closer to human cognition. Lightweight adaptation strategies improve deployment efficiency in real-time medical and industrial scenarios.
A new study by Penn State researchers uses an AI model to analyze over 400 small-group conversations and finds that discussions improve critical thinking in 4th-5th graders. The approach, based on Quality Talk, enables the analysis of large amounts of qualitative data quickly and efficiently.
The Hong Kong Polytechnic University (PolyU) has achieved a breakthrough in perovskite/silicon tandem solar cells, focusing on improving efficiency, stability and scalability. The team aims to raise the energy conversion efficiency from 34% to 40%, while promoting industry-academia-research collaboration.
Researchers studied how large language models (LLMs) operate and found they use built-in patterns for tracking word positions to form internal beliefs and make social inferences. By understanding these patterns, it may be possible to make LLMs more efficient by activating only a subset of parameters.