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.
Researchers at Virginia Tech have developed an AI-powered system to detect flaws in wire-arc additive manufacturing, a faster approach to producing complex components. The technology enables real-time defect detection and correction, reducing waste and improving quality.
Researchers at MIT have developed a 3D-printable aluminum alloy that is five times stronger than traditionally manufactured versions. This breakthrough could lead to lighter and more efficient aircraft parts, such as fan blades in jet engines, reducing energy consumption and costs.
Paul Boutros, a pioneer in using AI and machine learning to analyze cancer data, is appointed as the new director of the National Cancer Institute-designated cancer center at Sanford Burnham Prebys. The cancer center will leverage computational tools to personalize therapies for cancer patients.
Scientists at MIT developed a method to predict how plasma in a tokamak will behave during rampdown, achieving high accuracy with limited data. This new model could significantly improve the safety and reliability of future fusion power plants.
Researchers have developed an AI model that creates a detailed map of the mouse brain featuring 1,300 regions/subregions. The CellTransformer model uses spatial transcriptomics data to identify previously uncharted subregions of the brain, opening new avenues for neuroscience exploration.
Researchers are developing sophisticated formulas to enable AI to interpret massive biological datasets and uncover disease insights. Dr. Xinlei Wang's team is creating AI models that can analyze complex biomedical data using a Bayesian framework, producing clear and interpretable results.
The research team's Cord-Approx strategy coordinates drivers to assign different street parking spots using statistical predictions and an optimal matching algorithm. This approach significantly reduces parking search time, with drivers finding a spot in 6.7 minutes on average.
Researchers use AI, omics, and systems biology to design targeted drugs for cardiovascular disease pathways. The tools could transform heart drug development and save lives, but global health policy leadership is urgently needed.
An AI-driven irrigation management system developed by Texas A&M University students uses soil sensors, crop data, and weather forecasts to optimize watering. The system conserves water, reduces costs, and increases crop yields, addressing global issues of water scarcity and inequity.
A team of researchers from Worcester Polytechnic Institute has developed a new approach to producing hydrogen using plasma technology and metal alloys. The method reduces energy consumption and carbon emissions compared to traditional methods, making it more environmentally friendly and potentially affordable.
A study by the American College of Surgeons found that AI enhanced evacuation efficiency, optimized routes, and prioritized patients by injury severity. AI also accelerated drug delivery, identified new treatments for injuries, and supported artificial limb selection.
Researchers have discovered a new antibiotic targeting IBD, with AI predicting its mechanism of action. The AI model successfully identified the drug's target protein complex, reducing the development time by over two years and costs to $60,000.
Researchers argue that AI can strengthen pandemic preparedness by detecting emerging diseases earlier. By combining data from humans, animals, and the environment, AI can reveal patterns and provide insights into potential pathogens.
Mayo Clinic's new program enables biopharma companies to accelerate clinical development by providing access to de-identified data, advanced AI tools, and a global distribution network. This collaboration streamlines access to Mayo Clinic's world-class research expertise, allowing companies to move efficiently from discovery to delivery.
A new analysis found that virtual reality effectively reduced anxiety during coronary angiography and had more stable vital signs than standard care. VR was superior to standard care in reducing anxiety and associated with significantly lower changes in heart rate and blood pressure.
The study found that AI scribes significantly reduced burnout, cognitive task load, and time spent documenting, allowing more time for meaningful work and professional well-being. The findings suggest that AI can help alleviate administrative burdens and improve patient access to care.
Researchers designed and lab-validated synthetic proteins using generative AI tools, outperforming natural proteins in editing the human genome. The study's findings have significant implications for improving gene editing tools and developing new therapies for cancer and rare diseases.
Researchers at Tohoku University utilized AI to develop strategies for water treatment and air pollution control. The study highlights innovative approaches using machine learning in material screening and global distribution simulation of pollutants.
A recent study reveals that large language models have been used in nearly a quarter of corporate press releases in 2024. The researchers found an increasing trend in the use of AI-assisted writing across various sectors, with significant growth in UN and US press releases.
A new study from Hanbat National University demonstrates how quantum reinforcement learning can optimize residential heating, ventilation, and air conditioning systems for improved energy efficiency and indoor air quality. The technology reduces power consumption by up to 63% and decreases electricity costs by up to 64%.
A study by Osaka Metropolitan University found that pairs outperformed individuals in a robotic arm-transporting task when roles naturally emerged. Role specialization was key to superior performance, rather than paired interaction. The research has implications for human-robot collaboration and rehabilitation settings.
A new AI system called Diag2Diag analyzes sensor data to provide synthetic information for failing or degraded sensors in fusion systems, enhancing robustness and reducing complexity. This technology has the potential to make fusion energy more economical and reliable, enabling 24/7 operation without interruption.
Researchers from Florida Atlantic University's Charles E. Schmidt College of Medicine conducted a scoping review on AI-driven systems designed to deliver motivational interviewing. The study found that most used AI tools were chatbots, with varying levels of fidelity to core principles like empathy and autonomy.
Despite no decrease in usage, Wikipedia faces challenges from AI data scrapers and Large Language Models. The platform is struggling to allocate resources due to the influx of AI training data, threatening its current structure.
Large language models like ChatGPT are more persuasive than humans, especially when convincing people to adopt veganism or attend graduate school. The AI's ability to provide concrete logistical support and use authority-boosting vocabulary contributes to its persuasiveness.
A new 'future-guided' AI method developed at the University of California, Santa Cruz, has shown significant improvements in predicting seizures using brain wave data. The technique operates with two deep learning models working together, improving predictions further into the future by transferring knowledge.
Liberate AI project develops an AI model capable of predicting long-term outcomes and potential complications in ischemic stroke patients. The model will be trained using Swarm Learning technology, aiming for explainability and transparency, while striking a balance between these features and accuracy.
Research presented at the European Emergency Medicine Congress finds that doctors and nurses are more accurate than AI in triaging patients in emergency departments. While AI showed some promise in flagging critical cases, its overall accuracy was lower than clinicians' across most metrics.
A groundbreaking study enrolls 465 AYA cancer patients to test if chatbot technology and digital education tools increase uptake of genetic counseling and improve patient outcomes. The trial aims to address longstanding gaps in genetic services for AYAs aged 18-39, who often receive care with limited access to genetic specialists.
Researchers at Champalimaud Centre for the Unknown used machine learning techniques to show that mice's facial movements reflect their hidden thoughts. This discovery could offer unprecedented insight into brain function and potential new research tools.
A new AI tool called Waldo can scan social media data to discover personal reports of harmful side effects of popular health products. The tool achieved an accuracy of 99.7% in detecting adverse events, outperforming general-purpose chatbots.
An AI model successfully automates lymph node segmentation and extranodal extension classification from pretreatment CT scans in HPV-associated oropharyngeal carcinoma. Predicted extranodal extension is independently associated with worse oncologic outcomes, highlighting the potential for improved treatment planning.
Researchers created a high-resolution 3D liquefaction hazard map using machine learning and geotechnical data. The model accurately predicted soil properties and liquefaction risk, identifying high-risk areas in reclaimed coastal zones and river floodplains with unprecedented clarity and precision.
Researchers at The University of Osaka developed a reinforcement learning framework to enable spoken dialogue systems to acquire new vocabulary efficiently while minimizing user interruption. This approach improves word segmentation performance while reducing the number of questions asked.
The startup has assessed over 3,400 miles of Indiana roads using advanced computer vision algorithms to quickly and objectively assess pavement conditions. This platform provides actionable insights without requiring in-house data analysis expertise or costly hardware.
A new study published in AIAS found that warm red lighting can significantly reduce motion sickness in passengers during nighttime journeys. The research team conducted nighttime road tests and combined subjective ratings with multimodal physiological signals to assess symptoms.
The new method eliminates the need for extensive AI training or optimization, making video layer editing faster, cheaper, and more accessible. OmnimatteZero preserves complex elements like fur, hair, foliage, shadows, reflections, smoke, or rippling water without current methods' limitations.
A recent study found that social benefit recipients have significant reservations about AI-supported decisions, rejecting them more frequently than non-recipients. The study also revealed that non-recipients systematically overestimate the willingness of affected individuals to trust AI.
Researchers developed AI-powered BlinkWise glasses that track blinking patterns to assess fatigue, mental workload, and eye-related health issues. The device uses radio signals to detect minute eyelid movements with unprecedented detail, preserving privacy and using minimal power.
A National Science Foundation grant will support older adults in developing digital technology skills and embracing AI, with a focus on intergenerational storytelling. The project aims to strengthen AI literacy, social connectedness, and resilience among older adults, while cultivating responsible AI awareness in youth.
A new study aims to develop more fair and transparent AI interview systems using psychological measurement principles. Researchers will examine bias at three levels: predictors, outcomes, and perceptions of job seekers.
The European Lighthouse on Secure and Safe AI (ELSA) network has grown to include 41 members, expanding its expertise in pressing AI research topics and fostering knowledge exchange. The network's founding members are renowned for their work on Safety, Security, Artificial Intelligence, and Machine Learning.
A new study found that AI tool accurately captures details in just three minutes from a body scan, highlighting the potential of using AI to repurpose data from routine scans. Visceral adipose tissue volume and fat deposits in muscle are strongly associated with diabetes and cardiovascular disease risk.
Researchers at Institute of Science Tokyo developed a new framework for generative diffusion models by reinterpreting Schrödinger bridge models as variational autoencoders. This approach reduces computational costs and prevents overfitting, enabling more efficient generative AI models with broad applicability.
A Harvard Medical School-led research team developed an AI tool called PICTURE that can reliably tell apart glioblastoma and primary central nervous system lymphoma during surgery. The tool distinguishes between the two cancers with near-perfect accuracy, reducing errors in diagnosis and guiding critical treatment decisions.
The INSEAD AI50 honors leaders who turn AI research into practical, scaled deployments. Honorees include founders, executives, researchers, and educators from diverse backgrounds, reflecting the school's global presence. The list showcases individuals who apply AI effectively, responsibly, and at scale.
A novel detection framework, SORA-DET, is introduced for UAV remote sensing, achieving high accuracy and efficiency while being compact and fast. It outperforms large-scale models with up to 88.1% fewer parameters.
Researchers at UCLA have created a technology that harnesses photonics to perform generative AI tasks optically, eliminating the need for heavy digital computation. This leads to ultrafast and secure image generators with less energy consumption and water usage.
Digital@UNGA 2025 brings together global leaders to discuss the power of technology in tackling urgent challenges and driving sustainable development. The event showcases innovations in AI, quantum computing, and digital skills to benefit all, with a focus on inclusivity, sustainability, and prosperity.
Researchers developed an AI-based system to streamline medical image segmentation, allowing users to mark areas of interest and predict segmentations with decreasing user input. The tool has been shown to outperform state-of-the-art tools in image segmentation tasks, enabling faster study completion and cost reduction.
A cross-sectional study found that FDA-cleared AI-enabled medical devices lack standardized efficacy, safety, and risk assessment, highlighting the need for dedicated regulatory pathways and post-market surveillance to address these challenges.
The book offers novel human-centered AI techniques to address social intelligence challenges, including multimodal approaches and explainable AI designs. Researchers can integrate artificial and human intelligence to tackle complex social challenges.
Researchers developed a platform called CRESt that incorporates insights from literature, chemical compositions, and imaging to optimize materials recipes. CRESt uses robotic equipment for high-throughput testing and large multimodal models to further optimize materials recipes.
A new meta-analysis of 327 studies with over 282,000 participants reveals that AI agents excel in situations where a negative response is required, such as rejecting loan applications. However, human presence remains essential in tasks requiring empathy and spontaneity.
Forestry professionals express concerns about AI's impact on land-management decisions and policy, citing 'black box' problems and data quality issues. However, they see potential for AI to support tasks like data analysis and task automation.
Researchers from Perugia University explore how machine learning can aid in earlier hazard detection and improved risk communication. However, they caution that ML tools must be used responsibly and transparently to ensure accurate predictions and avoid potential pitfalls.
Biomedical engineers at Duke University developed a platform combining automated wet lab techniques and AI to design nanoparticles for drug delivery. The TuNa-AI platform resulted in a 42.9% increase in successful nanoparticle formation compared to standard approaches.
The International Telecommunication Union (ITU) has launched an initiative to bring artificial intelligence and robotics training to students across Africa. The programme combines hands-on AI and robotics training for young people in underserved communities, with a focus on reaching girls and other underrepresented groups.
The 12th Heidelberg Laureate Forum brought together top mathematicians and computer scientists to discuss the impact of AI on various issues. The event featured talks and panels on topics such as machine learning revolution and state of science integrity.
Researchers assessed the effectiveness of a single session with 'Amanda,' a ChatGPT-4o-based chatbot, versus a brief journaling task in addressing non-abusive relationship conflict. The study found that both interventions improved participants' specific relationship problems, overall relationships, and well-being.