Articles tagged with Artificial Intelligence
Comprehensive exploration of living organisms, biological systems, and life processes across all scales from molecules to ecosystems. Encompasses cutting-edge research in biology, genetics, molecular biology, ecology, biochemistry, microbiology, botany, zoology, evolutionary biology, genomics, and biotechnology. Investigates cellular mechanisms, organism development, genetic inheritance, biodiversity conservation, metabolic processes, protein synthesis, DNA sequencing, CRISPR gene editing, stem cell research, and the fundamental principles governing all forms of life on Earth.
Comprehensive medical research, clinical studies, and healthcare sciences focused on disease prevention, diagnosis, and treatment. Encompasses clinical medicine, public health, pharmacology, epidemiology, medical specialties, disease mechanisms, therapeutic interventions, healthcare innovation, precision medicine, telemedicine, medical devices, drug development, clinical trials, patient care, mental health, nutrition science, health policy, and the application of medical science to improve human health, wellbeing, and quality of life across diverse populations.
Comprehensive investigation of human society, behavior, relationships, and social structures through systematic research and analysis. Encompasses psychology, sociology, anthropology, economics, political science, linguistics, education, demography, communications, and social research methodologies. Examines human cognition, social interactions, cultural phenomena, economic systems, political institutions, language and communication, educational processes, population dynamics, and the complex social, cultural, economic, and political forces shaping human societies, communities, and civilizations throughout history and across the contemporary world.
Fundamental study of the non-living natural world, matter, energy, and physical phenomena governing the universe. Encompasses physics, chemistry, earth sciences, atmospheric sciences, oceanography, materials science, and the investigation of physical laws, chemical reactions, geological processes, climate systems, and planetary dynamics. Explores everything from subatomic particles and quantum mechanics to planetary systems and cosmic phenomena, including energy transformations, molecular interactions, elemental properties, weather patterns, tectonic activity, and the fundamental forces and principles underlying the physical nature of reality.
Practical application of scientific knowledge and engineering principles to solve real-world problems and develop innovative technologies. Encompasses all engineering disciplines, technology development, computer science, artificial intelligence, environmental sciences, agriculture, materials applications, energy systems, and industrial innovation. Bridges theoretical research with tangible solutions for infrastructure, manufacturing, computing, communications, transportation, construction, sustainable development, and emerging technologies that advance human capabilities, improve quality of life, and address societal challenges through scientific innovation and technological progress.
Study of the practice, culture, infrastructure, and social dimensions of science itself. Addresses how science is conducted, organized, communicated, and integrated into society. Encompasses research funding mechanisms, scientific publishing systems, peer review processes, academic ethics, science policy, research institutions, scientific collaboration networks, science education, career development, research programs, scientific methods, science communication, and the sociology of scientific discovery. Examines the human, institutional, and cultural aspects of scientific enterprise, knowledge production, and the translation of research into societal benefit.
Comprehensive study of the universe beyond Earth, encompassing celestial objects, cosmic phenomena, and space exploration. Includes astronomy, astrophysics, planetary science, cosmology, space physics, astrobiology, and space technology. Investigates stars, galaxies, planets, moons, asteroids, comets, black holes, nebulae, exoplanets, dark matter, dark energy, cosmic microwave background, stellar evolution, planetary formation, space weather, solar system dynamics, the search for extraterrestrial life, and humanity's efforts to explore, understand, and unlock the mysteries of the cosmos through observation, theory, and space missions.
Comprehensive examination of tools, techniques, methodologies, and approaches used across scientific disciplines to conduct research, collect data, and analyze results. Encompasses experimental procedures, analytical methods, measurement techniques, instrumentation, imaging technologies, spectroscopic methods, laboratory protocols, observational studies, statistical analysis, computational methods, data visualization, quality control, and methodological innovations. Addresses the practical techniques and theoretical frameworks enabling scientists to investigate phenomena, test hypotheses, gather evidence, ensure reproducibility, and generate reliable knowledge through systematic, rigorous investigation across all areas of scientific inquiry.
Study of abstract structures, patterns, quantities, relationships, and logical reasoning through pure and applied mathematical disciplines. Encompasses algebra, calculus, geometry, topology, number theory, analysis, discrete mathematics, mathematical logic, set theory, probability, statistics, and computational mathematics. Investigates mathematical structures, theorems, proofs, algorithms, functions, equations, and the rigorous logical frameworks underlying quantitative reasoning. Provides the foundational language and tools for all scientific fields, enabling precise description of natural phenomena, modeling of complex systems, and the development of technologies across physics, engineering, computer science, economics, and all quantitative sciences.
The ARU symposium delves into the effects of consuming mass-produced low-quality content, reshaping art, media, politics, and the internet. Dr Tina Kendall discusses the psychological and societal implications of AI-generated material, including its environmental costs.
The team created a specialized two-dimensional thin film dielectric designed to replace traditional heat-generating components in integrated circuit chips. This breakthrough aims to reduce the significant energy cost and heat produced by high-performance computing necessary for AI.
Insilico Medicine will demonstrate how generative AI is accelerating therapeutic discovery, improving drug efficacy, and advancing personalized medicine. The company's pharma superintelligence platform aims to tackle challenging problems in modern science and medicine.
A new study benchmarks six prompt styles across three leading LLMs to solve the challenge of balancing accuracy, speed, and cost in structured data workflows. The research reveals distinct strengths in each model, highlighting the need for tailored approaches for different data types.
Researchers developed FocalCodec, an audio tokenization method that compresses speech efficiently, preserving its meaning and sound quality. The system was tested with positive results, showing nearly identical reconstructed speech to original recordings.
A new tool trained on videos of expert surgeons offers students personalized advice as they practice suturing, showing significant improvement in skills. The AI model incorporates explainable AI to provide detailed feedback, enabling meaningful self-training and scaling up medical training.
Researchers from Johns Hopkins University found that selecting the right blueprint can accelerate learning in visual AI systems, rivalling conventional methods. By modifying convolutional neural networks, they generated brain-like activity patterns, suggesting that architectural design plays a crucial role in AI development.
A new AI system can accurately reconstruct hand muscle activity without sensors, enabling precise estimation of fine motor control. The technology has potential applications in sports science, rehabilitation, and human-machine interaction.
A team of researchers has developed a detailed open map of emerging technologies, grouping 23,000 plus technologies into a multi-level map. The Cosmos 1.0 framework uses machine learning to analyze Wikipedia pages, books, and patents.
Researchers developed a reduced order model that accelerates calculations by identifying key features in flow data, enabling faster testing of geometry parameters for efficiency gains. The team plans to make their extensive database and model available online for other research groups.
A new tool reorders content to downrank posts containing antidemocratic attitudes and partisan animosity, reducing polarization. Users who had such content downranked showed more positive views of the opposing party, with a noticeable impact on their emotional responses.
Researchers at Institute of Science Tokyo developed a neural-network-based 3D imaging technique that can precisely measure moving objects. The new method reconstructs high-resolution 3D shapes using only three projection patterns, enabling dynamic 3D measurement across various applications.
A new AI image-only model has been shown to provide stronger and more precise risk stratification for five-year breast cancer prediction than traditional breast density assessment. The model was trained on 421,499 mammograms and showed a fourfold higher cancer incidence in high-risk women compared to those with average risk.
Researchers propose six dimensions to evaluate AI reliability, including transparency, uncertainty quantification, and philosophical perspectives on trustworthiness. They emphasize the need for critical understanding of AI systems to ensure trustworthy decision-making.
Researchers analyzed clips from Hollywood films to identify brain structures linking visual and tactile experiences. They discovered eight remarkably similar maps in the visual cortex, mirroring the body's organization in the somatosensory cortex.
The SUN-DT project aims to drive the digital transition of tower concentrated solar power (CSP) plants in Europe. By leveraging AI-based calibration, predictive maintenance, and real-time optimization, the initiative seeks to improve efficiency and reduce operational costs for these facilities.
A randomized clinical trial conducted at UCLA Health found that AI scribe tools reduced physician documentation time by 9.5% and improved burnout scores. While the technology showed promise, it also generated clinically significant inaccuracies and required active physician oversight.
Researchers investigate how people with disabilities feel when their avatars depict them the way they see themselves. Most participants reported positive feedback when their avatar reflected their disability, and many felt comfortable expressing their identity in virtual reality.
Researchers developed a deep learning model to measure adrenal gland volume on existing CT scans, identifying the first imaging biomarker of chronic stress. The AI-derived biomarker correlates with validated stress questionnaires, cortisol levels, and future cardiovascular outcomes.
Researchers introduced a method to make photonic circuits more adaptable without sacrificing compatibility, enabling the creation of practical photonic quantum neural networks. The approach achieved a classification accuracy above 92 percent in experimental tests, demonstrating its potential.
Large language models can learn to mistakenly link certain sentence patterns to specific topics, causing unexpected failures on new tasks. This shortcoming could reduce the reliability of LLMs used in safety-critical domains like handling customer inquiries and generating financial reports.
Researchers are working to develop strategies to mitigate sandbagging in AI models, a tactic where systems downplay their capabilities to evade evaluation. The project aims to improve AI safety by developing strong guardrails to prevent uncontrolled release.
A recent study by Dr. Hyungrae Noh critiques traditional moral frameworks for ascribing responsibility to human stakeholders and AI systems, instead proposing a distributed model of responsibility where duties are shared among both. The study emphasizes the need for human stakeholders to prevent AI from causing harm through monitoring ...
A new AI model called popEVE can identify genetic variants most likely to cause severe disease and death in patients. The model produced a score for each variant indicating its likelihood of causing disease and placed variants on a continuous spectrum.
Researchers at Pusan National University have developed a new framework for predicting vessel turnaround time by leveraging queuing-based operation indicators. This dynamic approach captures time-varying fluctuations in port operations, offering a more accurate and actionable forecast.
Researchers have developed AI-powered forecasting tools that can predict the risk of aftershocks within seconds of an initial earthquake, offering a significant improvement over current methods. The new models trained on global earthquake data demonstrate comparable accuracy to existing systems while providing near real-time results.
Researchers developed a revolutionary AI platform to assess the fairness and accuracy of commercial algorithms in detecting diabetic eye disease. The platform was tested on 1.2 million images from diverse ethnic groups, achieving high accuracy rates compared to human grading.
The National Center for Supercomputing Applications (NCSA) has received the 2025 HPCwire Readers' and Editors' Choice Awards for its outstanding research in artificial intelligence and energy systems. NCSA's premier supercomputing systems Delta and DeltaAI were utilized in two different domains, including a novel AI-based approach to m...
A new study by Mass General Brigham researchers found that combining generative AI with ambient documentation technologies significantly reduced after-hours work and note delays. The hybrid program, which included a virtual scribe, showed a 41% decrease in after-hours work and a 66% decline in documentation delays.
A study at Technical University of Munich found that AI-simplified CT reports reduced reading time to two minutes and improved patient comprehension. Patients rated the simplified texts as more helpful and informative, with 82% finding them easier to read and understand.
Researchers developed a reliable dataset to determine the best AI model for pancreatic cancer detection, finding that AI outperformed clinicians in detecting and diagnosing the disease. The study suggests that AI can support radiologists in their work and potentially lead to earlier diagnosis and faster treatment.
The German Research Foundation extends TRR 318 'Constructing Explainability' for a further three and a half years, focusing on context within explanations to develop more comprehensible AI systems. The collaboration involves over 60 researchers across seven disciplines, aiming to create social forms of explainable AI.
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.
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 new study from Trinity College Dublin found that people exploit female-labelled AI and distrust male-labelled AI equally, as they do human partners of the same gender. The study's findings have significant implications for AI design, deployment, and regulation to prevent harmful gender discrimination.
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.
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.
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.
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 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 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.
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.
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.
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.
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.
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.
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.
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 ...
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.
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...
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.
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.
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.
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.
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 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 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.
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.
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
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.