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 found that specific gaze sequences, including looking at an object and making eye contact, are crucial for effective communication. This discovery has implications for social robot development and non-verbal communication training.
Researchers aim to create automated tools to safely translate legacy C codebases into memory-safe Rust without sacrificing performance or functionality. The project, backed by DARPA, uses formal methods and AI techniques to develop accurate translations of complex C code.
Researchers from Memorial Sloan Kettering Cancer Center developed a new approach to induce mutations in resistant cancer cells, making them sensitive to immunotherapy. The study showed positive outcomes in patients over 90 with lung cancer who underwent surgery.
A new deep learning model enhances handheld 3D medical imaging by automatically tracking transducer motion without external sensors. The model produces more realistic 3D US images and can reconstruct blood vessel structures using ultrasound and photoacoustic data.
An AI model accurately detected tumor locations and outperformed benchmark models in detecting breast cancer, according to a study published in Radiology. The model learned a robust representation of benign cases to better identify abnormal malignancies, even with underrepresented data.
Stanford researchers introduce a cost-effective way to evaluate AI language models, accounting for question difficulty to ensure fair comparisons. The new approach reduces costs by half and enables rapid progress in the field of artificial intelligence.
A new method using label-free optical microscopy and artificial intelligence effectively identifies disease phenotypes in pancreatic cancer. The approach achieved nearly 90% accuracy in predicting tissue phenotypes, demonstrating the promise of combining light-based imaging with AI for precision medicine.
Researchers developed Localizatome to study oxidative stress-related changes in protein localization. The database provides comprehensive information on subcellular protein localization and dynamic localization changes under stress.
A new study by Cornell University reveals Amazon's AI shopping assistant Rufus gives vague or incorrect responses to users writing in some English dialects like AAE. The researchers propose a framework for evaluating chatbots that can better serve users from diverse linguistic backgrounds.
A recent survey found that nearly two-thirds of U.S. adults consider AI-generated summaries to be somewhat or very reliable, while another 45% say they sometimes give them the answer they need. However, half of respondents are not comfortable with healthcare providers using AI tools.
Researchers at the University of Pennsylvania used AI-powered screen of global venom libraries to discover dozens of promising drug candidates. The top peptide candidates are being improved through medicinal-chemistry tweaks.
Researchers developed a self-driving lab that collects at least 10 times more data than previous techniques, dramatically expediting materials discovery research while slashing costs and environmental impact. The system uses dynamic flow experiments to continuously characterize samples, capturing data every half second.
The EVOaware project aims to develop an innovative platform that addresses tumour resistance to therapies by using advanced tissue imaging technologies and integrating genetic screening, lineage tracing, and spatial omics techniques. This platform has the potential to accelerate the discovery and development of new cancer therapies.
Researchers at The University of Osaka develop an AI-powered framework to measure micro-scale occupancy in open-plan offices, providing detailed data for evidence-based design decisions. The system uses computer vision and 3D pose estimation to analyze video footage and track individuals within predefined zones.
Researchers from Université Laval designed an ultra-fast and greener optical chip that can transfer massive amounts of data at speeds of 1,000 gigabits per second while reducing energy consumption. This innovation uses the phase of light to add a new dimension to the signal, reaching unprecedented performance levels.
Pusan National University researchers developed a comprehensive issue set for MDA implementation, covering technical, organizational, and environmental challenges. The framework helps manufacturers prioritize issues and address them proactively, enabling efficient and effective data-driven smart manufacturing.
Researchers developed an AI system that enables a four-legged robot to adapt its gait to different terrain, just like animals. The robot learned to switch gaits on the fly and navigate uneven surfaces without any alterations to the system itself, overcoming previous limitations around adaptability.
Researchers demonstrated R-STDP synaptic plasticity in a single ferroelectric floating-gate device, enabling SNN to simulate robotic capture tasks with excellent performance. The network achieved a success rate up to 85.5% in dynamic capturing tasks.
Yen-Ling Kuo, a UVA computer scientist, has been awarded the NSF CAREER Award to help robots understand and respond to human behavior. Her research focuses on building AI systems that can reason, communicate, and collaborate like humans, enabling robots to support people in various settings.
A 70-billion-parameter large language model called ChemELLM has been developed for chemical engineering applications. It was trained on a specialized dataset and demonstrated superior performance in various tasks compared to mainstream models.
The Chan Zuckerberg Initiative's latest AI model, GREmLN, is designed to predict and understand how genes interact within cells. It focuses on the molecular logic that defines gene behavior, allowing researchers to track critical changes pinpointing the earliest signs of disease.
Researchers found that LLMs are better at representing non-sensorimotor concepts but struggle with sensory and motor concepts. Incorporating sensory input improves LLM performance and leads to more human-like representation, consistent with previous human studies on multimodal learning.
A new AI tool called Ark+ has demonstrated exceptional capability in diagnosis of lung diseases and rare conditions like COVID-19. The tool outperformed proprietary software developed by Google and Microsoft, making it a potential game-changer for healthcare.
Researchers at KIT have developed a new AI method that generates high-resolution precipitation maps from low-resolution data, offering improved assessments of regional climate risks and disaster control. The model provides physically plausible precipitation maps with statistical uncertainty, applicable to diverse climatic conditions.
A study using AI language models analyzed sentiments and emotions expressed by almost 400 pediatric patients on social media, finding that 94% of comments were negative, with sadness and fear prevalent. The study highlights the need for integrated care approaches to support vulnerable young patients managing complex medical conditions.
A new report by Digital Science reveals China is outstripping the rest of the world in AI research, with a nationwide innovation ecosystem and a young, growing workforce. The UK remains small but globally impactful, while the EU risks falling behind due to weaker international collaboration.
The collaboration aims to develop a predictive, high-fidelity AI model that identifies disease mechanisms and predicts patient outcomes. This initiative will focus on cancer but may expand to other complex medical challenges, such as transplant rejection and immunology.
The journal is seeking original research, viewpoints, and tutorials exploring the use of AI-driven documentation in clinical settings. Submissions should address practical applications, challenges, and future directions of AI-facilitated clinical documentation.
The new journal aims to accelerate knowledge dissemination in AI by prioritizing theoretical breakthroughs, practical applications, and societal implications. It features short peer-reviewed contributions and opinion pieces to facilitate swift engagement with contemporary AI issues.
Researchers have developed an AI-assisted diagnostic system that can estimate bone mineral density in the lumbar spine and femur with high sensitivity and specificity. The system has the potential to transform routine clinical X-rays into a powerful tool for opportunistic screening, enabling earlier detection of osteoporosis.
Researchers developed an AI model that screens for cardiac amyloidosis with high accuracy, outperforming existing methods. The tool analyzes routine heart ultrasound images to quickly detect the condition and differentiate it from other heart issues.
Researchers developed a way to boost LLMs' performance on challenging tasks using test-time training. This method involves updating some model parameters using new data, leading to significant improvements in accuracy, especially for tasks requiring logic and reasoning.
A new AI model developed by Mayo Clinic and Ultromics can detect cardiac amyloidosis, a rare and progressive type of heart failure, with high accuracy. The model was validated on a large patient population and outperformed traditional screening methods in identifying the disease.
The Buck Institute is pioneering a cloud-based platform to simulate the dynamic behavior of microbial cells, overcoming current whole-cell models' limitations. The SIMBA project aims to advance our understanding of bacterial behavior and address critical challenges in biomanufacturing and national security.
A new report from the University of Cambridge's Minderoo Centre for Technology and Democracy highlights the alarming trajectory of energy use by big tech companies, driven by AI growth. The report predicts that data centres could consume up to 8% of global greenhouse gas emissions by 2040, far exceeding current emissions from air travel.
Artificial intelligence (AI) is revolutionizing medical needle procedures by providing unprecedented levels of accuracy and precision. AI-powered robots can assist physicians in complex tasks, enabling safer and more effective procedures. The four components of AI guidance are formalized, categorizing current systems into Eyes-on/Hands...
Researchers at Charité analyzed the laws of enzyme evolution on a large scale, revealing that certain areas change faster than others. The findings have implications for the development of new antibiotics and other medicines.
A recent study using machine learning and computational modeling reveals that astrocytes play a more active role in brain function than previously thought. Astrocytes subtly modulate communication between neurons during synchronous brain activity, influencing network coordination and stability.
A recent study published in the Association for Computing Machinery Conference on Fairness, Accountability, and Transparency found that AI chatbots are not safe replacements for therapists. The researchers evaluated these chatbots against clinical standards for therapists and concluded that they don
A study published in Radiology found that AI decision support systems improve breast cancer detection accuracy and visual search patterns among radiologists. With AI assistance, radiologists spend more time examining regions with actual lesions, leading to better performance and efficiency.
A new study reveals that AI systems transition from relying on word positions to meaning-based understanding as they receive enough data for training. The transition occurs abruptly, similar to a phase transition in physical systems, and is driven by the amount of data available.
A team of researchers from UC3M, MIT and Adobe have developed Imprinto, a system for embedding invisible digital information in printed documents. This technology uses infrared ink and a special camera to enable advanced interaction with physical documents without altering their visual appearance.
A new technique called WeGeFT improves large language model performance in tasks such as commonsense reasoning and code generation. By fine-tuning key parameters, researchers reduce the need for significant computational power, advancing the field of artificial intelligence.
A new method for rapid generation of aircraft concept solutions based on generative artificial intelligence has been proposed, demonstrating the application potential of large language models in aircraft conceptual design. The method improved efficiency and innovation in the conceptual stage.
A Mayo Clinic team developed an AI system that can automatically identify surgical incisions and flag signs of infection in patient-submitted photos. The model achieved high accuracy in detecting incisions and identifying infections, with potential to streamline communication between patients and their care teams.
Researchers highlight the benefits of artificial intelligence in glioblastoma management, including improved diagnosis, treatment planning, and personalized therapy. AI-based models can analyze radiological images, predict tumor characteristics, and suggest effective treatments, promising to improve patient outcomes and survival rates.
A new study demonstrates that retrieval-augmented generation can eliminate hallucinations in clinical LLMs while protecting patient privacy. The RAG-enhanced model responds significantly faster than cloud-based systems, delivering safer results without compromising data security.
Frontiers has integrated Cactus' Paperpal Preflight and Clear Skies' Papermill Alarm and Oversight into its AIRA submission-screening system to boost fraud-detection capabilities. This integration strengthens the reliability and integrity of every manuscript submitted to Frontiers.
Researchers at Boston University have created a new language model called PodGPT that combines expert knowledge from podcasts with the latest research articles. The model has been shown to better understand and answer scientific questions, particularly those related to biology, math, and medicine.
Researchers developed an AI-informed method for rapid protein evolution, integrating structural and evolutionary constraints. The approach, AiCE, outperforms traditional methods in predicting high-fitness mutations, enabling efficient protein redesign and applications in precision medicine.
Researchers developed an AI-powered microscope system to measure soil fungi presence and quantity, providing insights into soil health and fertility. The low-cost optical microscopy with machine learning technology can be used by farmers and land managers worldwide.
A fully autonomous robotic system developed by MIT researchers can measure important material properties like photoconductivity, increasing the speed and precision of research. The system uses machine learning and robotics to analyze new semiconductors and optimize the development of more powerful solar panels.
Deep learning models such as CNNs and RNNs have been applied to analyze aquatic species imagery and acoustic data, enhancing identification accuracy. AI-driven automation supports the delineation of protected areas and optimal allocation of conservation resources by leveraging remote sensing technologies and AI algorithms.
A study by Karolinska Institutet found that an AI tool improved pathologists' assessments of tissue samples from skin cancer tumours, leading to more consistent results and better prognoses. The tool helped quantify tumor-infiltrating lymphocytes, a biomarker in several cancers, including malignant melanoma.
The College of Engineering at Texas A&M is developing a suite of university-wide resources to integrate generative AI into course material, research, and outreach. The initiative aims to make generative AI a core part of the academic toolkit accessible to faculty across disciplines.
A new study in Nature Communications found that AI models exhibit a geometric property called convexity, which helps humans form and share concepts. Convexity is also linked to the performance of AI models on specific tasks.
Researchers analyzed viral loads during early infection to predict disease progression and developed a method to identify patients at risk of severe symptoms. The study suggests that patients with high viral loads are more likely to experience long-lasting skin lesions and severe symptoms.
Researchers developed AI-created thermal meta-emitters that can selectively emit heat at various levels, making them ideal for energy efficiency. These materials were found to be up to 20 degrees Celsius cooler than commercial paints in a four-hour exposure to direct sunlight.
A groundbreaking study reveals that biological brains and AI systems develop similar neural patterns during social interaction, with synchronized patterns driving social behaviors. The research has significant implications for understanding human social disorders and developing socially-aware AI systems.
Researchers developed an AI model that converts fragmented electronic health records into readable narratives, enabling artificial intelligence to make sense of complex patient histories. The Multimodal Embedding Model for EHR (MEME) transformed tabular health data into 'pseudonotes' that mirror clinical documentation, achieving superi...