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.
A recent study found that Black bots were perceived as more competent and human than their White and Asian counterparts in digital interactions. This challenges past research on human-to-human interactions and highlights the importance of understanding how racial stereotypes interact with artificial intelligence.
Automated AI body composition tools achieved high technical adequacy rates (97.8-99.1%) in a large sample of external abdominal CT scans. The results support the generalizability and potential for widespread adoption of these tools, which can help build trust among radiologists and physicians.
A review of 25 years of AI health tech research found that only 24% of studies include patient-reported outcomes, but there has been an increase in recent years. Experts emphasize the importance of integrating patient voices into AI models to support personalized care and prevent digitalization of healthcare.
The University of Minnesota Medical School has received $1.4 million in funding to develop methods and risk management processes for clinical artificial intelligence and machine learning to optimize patient safety. The team will focus on understanding the performance of clinical AI at the individual patient level.
A Carnegie Mellon University professor proposes a new AI model that highlights the evidence of fairness in decision-making. The model provides counterfactual explanations to demonstrate whether past decisions were fair or biased. This research has practical implications for legislative efforts, industry norms, and AI model evaluation.
The metaverse can be used to investigate the effectiveness of large-scale interventions before implementation, saving time and money. It also provides a platform for people with limited access to natural environments to experience green spaces, reducing negative mental health effects.
Researchers used AI to analyze thousands of satellite measurements, revealing four categories of ice movements linked to meltwater flow. The study provides insight into how the Greenland ice sheet reacts to warmer temperatures and more meltwater.
A new study by NYU researchers found that infants excel at spotting motivations driving human actions, while state-of-the-art AI models struggle. By comparing infant and machine intelligence on a series of tasks, the researchers shed light on the limitations of current AI systems.
A new study by Tulane University demonstrates that even a single atom can act as a reservoir for computing, processing information optically. The researchers proposed a non-linear single-atom computer where input and output are encoded in light, enabling flexible computation with any desired outcome.
The Heidelberg Laureate Forum Foundation offers journalist travel grants to cover the 10th HLF from September 24-29, 2023. Recipients of prestigious awards in mathematics and computer science will gather with young researchers for a week of interdisciplinary dialogue.
A Penn State-led research team found that language models can plagiarize content in three ways: verbatim, paraphrase, and idea reuse. The study highlights the need for more research into text generators and their potential ethical implications.
Researchers at University of Gothenburg developed AI method using graph theory and neural networks to analyze cell movement, enabling better understanding of biological processes and development of new medical technologies. The method can reconstruct cell paths and test medication effectiveness as potential cancer treatments.
Scientists have developed a simulation environment to test multistage attack scenarios using deep reinforcement learning, achieving success rates of up to 95% in stopping cyberattacks. The AI-powered approach offers promise for proactive cyber defense and the ability to detect changes in the cyber landscape earlier.
Researchers develop a governance model for ethical guidance in AI, combining copyleft licensing with the patent troll approach. The CAITE model assigns enforcement rights to a third-party host, ensuring compliance while promoting flexibility and community participation.
Researchers at the University of Konstanz found that selfish behavior can lead to a fair distribution of risk within groups of animals. By positioning themselves optimally to minimize distance from others, individuals reduce their own predation risk and create a safer environment for all members.
A recent study published in Human Reproduction found a significant association between prenatal alcohol exposure and changes in children's facial features. The research used AI to analyze three-dimensional images of children's faces at ages nine and thirteen, revealing that mothers' alcohol consumption before and during pregnancy can h...
A University of Kansas study analyzed over 1,000 AI-generated ads and found that they are only labeled as ads about half the time, often appealing to consumers in positive ways. The prevalence of AI in programmatic advertising raises concerns about consumer deception and the need for updated guidelines to require transparency.
Researchers at Cornell University developed an AI tool to track online debates and detect when tensions are escalating. ConvoWizard provides real-time feedback to users on potentially incendiary language, encouraging constructive debate.
Researchers use movie clips to study mouse brain activity, revealing novel ways to diagnose learning and memory disorders. The discovery points to new ways to tackle Alzheimer's and improve artificial intelligence.
Researchers at MIT developed a technique to improve machine-learning models' reliability without requiring additional data or extensive computing resources. The method uses a simpler companion model to estimate uncertainty, enabling more effective uncertainty quantification.
A new clinical trial will assess the efficacy of an AI-powered massage robot, EMMA, in managing chronic low back pain. The study aims to explore the effectiveness of robotic Tuina therapy in alleviating pain and improving health outcomes.
A new study uses Fourier analysis to understand how deep neural networks learn complex physics. By analyzing the equation of a fully trained model, researchers were able to identify crucial information about how the network learns and generalizes. This breakthrough could accelerate the use of scientific deep learning in climate science.
Research from the University of Cambridge found that cinematic depictions of AI scientists are heavily skewed towards men, contributing to a cultural stereotype that may deter women from pursuing AI careers. The study highlights the need for more diverse representation in AI development.
Researchers at Brigham Young University have developed an AI algorithm that can accurately locate players and determine formations in football game footage. The system has achieved over 90% accuracy on player detection and 85% accuracy on formation identification, potentially eliminating the need for manual annotation and analysis.
A study published in PLOS Digital Health found that ChatGPT scored between 52.4% and 75.0% on the USMLE exams, exceeding the passing threshold of approximately 60%. The model demonstrated high concordance rates and produced significant insights for most responses.
Scientists developed an automated algorithm using machine learning to identify image content related to illegal wildlife trade in digital spaces. The method uses feature visualization and achieves high accuracy in distinguishing between natural and captive contexts.
Researchers tested three common techniques to make algorithms fairer and found that one approach didn't reduce social norm bias at all. They proposed a new technique: a formula to directly measure social norm bias in an algorithm so it can be corrected. This bias can persist even after overt discrimination is removed.
The study uses artificial intelligence to generate new molecules with optimized properties, applicable to various industries. The method enables finding Pareto-optimal solutions, leading to more efficient materials for optoelectronics, solar energy, and other fields.
Engineers at the University of Waterloo developed AI technology to predict breast cancer treatment effectiveness, allowing doctors to prescribe personalized treatments and reduce unnecessary side effects. The new algorithm uses synthetic correlated diffusion imaging images to forecast patient responses to chemotherapy.
A team of researchers developed a model-free approach using deep reinforcement learning to optimize estimation of multiple parameters in quantum sensors. The protocol achieved significantly better estimations compared to nonadaptive strategies, demonstrating enhanced performance in resource-limited regimes.
FRIDA uses AI models similar to those powering tools like ChatGPT and DALL-E 2 to generate paintings based on user input. The robot's final products are impressionistic and whimsical, with bold brushstrokes that lack precision sought in robotic endeavors.
Researchers found pigeons can solve complex categorization tests through exhaustive trial and error, mirroring artificial intelligence's process. Pigeons' ability to memorize patterns and objects surpasses human performance in similar tasks.
The Human Brain Project Summit 2023 will highlight the scientific achievements of the project at the interface of neuroscience and technology. Researchers will present cutting-edge research on European advances in neuroscience and applications in medicine and brain-derived technologies.
A new study reveals that online hate speech is frequently conveyed through subtle and modified wording, allowing it to evade detection. Covert methods of expression are being used by haters to avoid detection, highlighting the need for increased attention to implied ways of expressing hate.
Researchers developed an AI algorithm to predict prime editing efficiency and accuracy, enabling faster and more precise genome editing. By analyzing a large data set of over 100,000 pegRNAs, the tool identifies key properties influencing prime editing success.
Researchers developed a machine learning model using advanced 2D chemical descriptors to predict highly selective asymmetric catalysts without quantum chemical computations. The model demonstrated high accuracy in predicting catalyst structures and selectivity, outperforming existing methods.
A new approach to deep reinforcement learning demonstrates ability to stabilize large datasets used in AI models, which may lead to uncovering ways to arrest cancer development. The method has been successful in designing and refining existing therapies, with the next step being to use live cells.
A team of researchers has proposed a novel method for multi-label classification that enables continual learning from big data. The approach combines clustering and Bayesian methods to achieve high classification performance and adaptability in the face of new data.
Researchers have developed a compact silicon photonic compute engine capable of computing tiled matrix multiplications at a record-high 50 GHz clock frequency. This achievement promises to contribute significantly to data center cybersecurity and enables real-time threat detection for malicious packets.
The JIPipe software enables automated analysis of images generated in research without requiring programming skills. Users can create flowcharts and perform automatic image analyses using artificial intelligence.
The University of Alberta and Amii are recruiting 20 new Canada CIFAR AI Chairs to focus on groundbreaking AI research in health, energy, and Indigenous initiatives. This initiative aims to accelerate opportunities for responsible commercialization of AI, driving future economic growth.
A recent study found that AI technologies exhibit more pronounced biases in facial age perception than humans, with exaggeration of smiling faces' aging effect and decreased accuracy for older adults. The research suggests these biases stem from visual cues rather than preconceptions.
The use of artificial intelligence (AI) and language models in writing manuscripts has sparked debates about the integrity of scientific publication. AI-generated content can lead to misinformation and compromised academic standards, posing significant risks to medical knowledge.
A new study at Cornell University introduced an automated participant that periodically interrupts the conversation to give nonnative speakers a chance to speak. The AI bot increased participation from 12% to 17% of all words spoken, with nonnative speakers feeling valued and appreciated for their perspectives.
UC San Diego scientists developed an AI-based strategy for discovering high-affinity antibody drugs, identifying a new antibody that binds 17 times tighter than an existing one. The approach accelerates the discovery process, reducing failure rates and enabling faster development of novel cancer and COVID-19 treatments.
Researchers have developed an AI-based resource to assist individuals in identifying recommended actions based on their clinical profile and COVID at-home test results. The system uses a combination of symptoms and home tests to provide more accurate diagnoses and improve patient care.
A deep learning model distinguishes colon carcinoma from acute diverticulitis in CT images, improving diagnostic performance and reducing false-negative and false-positive findings. The model's sensitivity and specificity were significantly improved, supporting radiologists in patient care.
Scientists developed an AI system, ProGen, that can generate artificial enzymes from scratch, working as well as those found in nature. The AI model learned aspects of evolution and was able to tune its generation for specific effects, creating proteins with unique properties.
Researchers are using AI to assess soil datasets and measurements, aiming to build an automated data-driven decision support system for European soils. The goal is to create an effective soil health certification system that can be used by farmers, landowners, and policy makers.
Researchers identified a panel of novel blood biomarkers associated with sudden cardiac arrest, which have the potential to enhance clinical prediction. Additionally, an AI-powered ultrasound technology can accurately identify coronary artery calcium buildup, potentially replacing CT scans as a diagnostic tool.
Researchers at NYU Langone Health and the University of Toronto have developed a new AI tool called ZFDesign, which enables customizable protein editing for treating genetic diseases. The tool promises to accelerate gene therapy development on a large scale, offering a potentially safer alternative to CRISPR.
Researchers developed a computational analysis method to detect and identify somatic SVs in leukemia patients, gaining insights into molecular consequences and potential therapies. The approach enables understanding of individual somatic mutations and may lead to targeted treatments.
Lithuanian researchers have developed an AI system to detect early symptoms of Parkinson's disease using voice data. The study found that patients with early-stage Parkinson's often speak in a quieter, more monotonous tone, which can be difficult to notice by ear.
A new secure computation method is introduced, allowing for decentralized computation of encrypted data on a single server without significant computational cost. This method addresses drawbacks of existing methods, providing faster and more secure computations.
Researchers developed an AI system that suggested changes to participants' responses, making them more empathetic. The system helped people communicate empathy more effectively than traditional training did.
Researchers found that rephrasing original questions and using bot-specific wording significantly improved resolution rates. Upskilling individuals to effectively interact with chatbots can help bridge the digital divide.
Researchers successfully applied AlphaFold AI to an end-to-end platform, discovering a novel target and developing a potent hit molecule for liver cancer. The study demonstrates the potential of AI-powered drug discovery to accelerate treatment development.
Researchers used deep learning AI to analyze chest X-rays of patients with acute chest pain syndrome, identifying those at high risk for life-threatening conditions. The model significantly improved prediction accuracy beyond conventional clinical markers, allowing for more accurate triage and potential deferral of additional testing.
The field of intelligent computing has made significant progress, focusing on autonomous perception, information gathering, analysis, and reasoning. Key findings include the need to develop more flexible systems that can accommodate diverse forms of intelligence through computing.
Researchers use drone technology to detect changes in building facades and assess technical condition, enabling accurate classification and identification. The system can also be used for urban heritage site monitoring and planning urban development.