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 new study challenges the long-held belief that fear is primarily communicated through facial expressions, suggesting instead that situational context plays a critical role in fear recognition. The research involved analyzing real-life fear reactions in videos and found that facial expressions alone fail to reliably signal fear.
A new study investigates how AI can empower communities to actively participate in scientific research, addressing critical ethical considerations. The research aims to advance health equity and public health outcomes by enhancing citizen science with AI technologies such as conversational AI, generative AI, and predictive analytics.
State-of-the-art AI models struggle to interpret clock-hand positions and answer questions about dates on calendars, requiring spatial awareness, context, and basic maths. Researchers tested various clock designs with different fonts and styles and found that AI systems got clock-hand positions right less than a quarter of the time.
A research team has proposed a new monocular vision-based measurement method for autonomous aircraft landing guidance in unknown structured environments. The system uses an onboard monocular camera to detect suitable landing regions and accurately measure the relative 6D pose between the aircraft and the landing region, ensuring reliab...
The study categorizes CROP-AP models into four key types, highlighting five major applications in agricultural productivity simulation. Future research priorities focus on strengthening model validation and simulating multi-scale interactions to support sustainable global food production.
A Virginia Tech study reveals that machine learning models are inadequate in detecting critical patient conditions, missing 66% of injuries. The research emphasizes the need for more responsive models incorporating medical knowledge to improve healthcare outcomes.
A survey study found patients have a mild preference for AI-written messages but experience decreased satisfaction when informed about AI involvement. Disclosure of AI involvement is essential to maintain patient autonomy and empowerment, despite potential minor impact on satisfaction.
The article explores the role of AI in engineering, highlighting benefits such as improved transportation and manufacturing, but also raises concerns about safety, privacy, bias, and governance. The authors discuss weaknesses in data-driven models and call for research into regulatory frameworks to address these issues.
Professor Tiago H. Falk has been elected as an IEEE Fellow for his groundbreaking research in secure and adaptive human-machine systems, contributing significantly to the advancement of engineering and technology. He is also a co-director of the INRS-UQO Joint Research Unit on Cybersecurity and Digital Trust.
Researchers propose future data collection and processing principles to address issues in data accumulation, modeling, and application. A global standard protocol framework is needed for a high-quality data ecosystem and healthy AI development.
A new framework allows users to correct a robot's actions in real-time using intuitive interactions, such as pointing or nudging the arm. The method achieves a success rate of 21% higher than an alternative approach, enabling more efficient and accurate task completion.
A recent study found that 45.9% of ChatGPT-generated feedback was rejected by second-language learners, with content-focused feedback facing higher rejection rates. The researchers identified four key factors driving rejection: misalignment with goals or external standards, and the subjective nature of content-related suggestions.
Researchers have developed a novel technique to overcome the spurious correlations problem in AI by eliminating a small portion of the training data that contains hard-to-understand features. This approach improves performance even when conventional techniques are ineffective.
AutoCodeRover, a cutting-edge AI agent platform for software development, has been acquired by Sonar. The technology boosts software engineering and agentic AI innovation, creating new R&D jobs in Singapore.
Researchers used deep learning to predict perovskite solar cell material characteristics and efficiency levels. Machine learning helped identify process errors before finishing, improving data analysis speed and effectiveness.
Researchers explore three key directions to address LLM limitations: knowledge empowerment, model collaboration, and co-evolution. Techniques like retrieval-augmented inference and knowledge prompting enhance factual accuracy and interpretability.
Researchers have employed artificial intelligence and data analysis to improve forest protection, enabling real-time monitoring and predictive analysis. The innovative forest regeneration model forecasts how forests will grow and change over time, identifying best-suited tree species for different environments.
A new method of biometric authentication has been developed using hyperspectral imaging and AI to identify individuals through the unique patterns in their blood vessels on the palm of their hand. The technology shows great promise for secure personal identification and could potentially be used as a key to unlock homes.
Researchers at Technical University of Munich developed a new AI training method that significantly reduces energy consumption. The approach uses probabilities to determine parameters, making the training process 100 times faster while maintaining accuracy comparable to existing procedures.
A new study suggests that artificial intelligence can effectively detect wildfires in the Amazon rainforest, using satellite imaging and deep learning. The technology achieved a 93% success rate in training models via datasets of images with and without wildfires.
Researchers at UC San Francisco have enabled a paralyzed man to control a robotic arm through a device that relays signals from his brain to a computer. The device, known as a brain-computer interface (BCI), worked for a record 7 months without needing to be adjusted.
The Global Physics Summit will feature nearly 1,200 sessions and 14,000 presentations on various topics, including astrophysics, climate science, medicine, and quantum information. Registered journalists and public information officers will receive daily emails with meeting information.
A new machine learning algorithm can fully characterize systems of merging neutron stars in under a second, compared to traditional methods which take around an hour. This allows for rapid localization of the source and pointing of telescopes towards the merging neutron stars.
Research reveals that AI-generated voices are perceived as more trustworthy and likable, with potential applications in deep-fakes and manipulation. The study found a positive correlation between the similarity of an AI voice to a human voice and its perceived trustworthiness.
A symposium at Lehigh University aims to explore challenges and solutions for improving AI's reliability, inclusivity and ethical impact in healthcare. The event will bring together researchers, clinicians and industry experts to foster cross-disciplinary collaboration and promote people-centered AI-enabled healthcare systems.
Researchers developed an AI model that predicts ICU length of stay with high accuracy, while providing comprehensive explanations for patient outcomes. The model's predictions were found to be just as accurate as other XAI models, but its explanations were more detailed and useful for hospital staff.
Researchers at the University of Kansas are partnering with regional high schools to train about 500 students in AI coding and microelectronics. The program aims to develop a workforce that can specialize in AI and microelectronics, with a focus on community-centered projects and altruistic goals.
Researchers found that GenAI feedback offers timely and personalized feedback, educational benefits as an essay editor and tutor, and social benefits as a supportive environment. However, challenges include limited AI skills, dependency risk, and emotional understanding limitations.
Dr. Sarah Du, an associate professor at Florida Atlantic University's College of Engineering and Computer Science, has been selected as a Senior Member of the National Academy of Inventors for her significant contributions to advancing medical technology. Her research focuses on developing point-of-care diagnostic tools and monitoring ...
A Texas A&M research team led by Dr. Robert Valeris-Chacin is investigating the use of artificial intelligence to detect lesions in pig lungs, a sign of pneumonia-causing bacteria. The study found that while AI is not yet as accurate as human evaluators, it exhibits similar behaviors and has perfect consistency in its scoring.
Researchers have developed a new AI tool that uses sensors and real-time data to predict water quality across the US. This tool can be applied nationwide, benefiting communities by providing water quality forecasts, streamlining operations, and informing strategies for managing turbidity in basins worldwide.
Researchers have developed a high-speed, energy-efficient electro-optic switch with low crosstalk and broad bandwidth. The switch uses a scalable process and consists of four Mach-Zehnder interferometer structures formed by silicon nitride waveguides.
The AI-GS network achieves high accuracy with 93.52% sensitivity at 95% specificity, excelling in detecting early-stage glaucoma. The system is portable, requiring minimal computational power and delivering results in under a second.
A Northwestern University study discovered a region of the brain processes subtle changes in voice pitch, transforming them into meaningful linguistic information that guides human understanding. The findings challenge long-held assumptions about speech perception and have implications for speech rehabilitation, AI-powered voice assist...
Scientists developed a method that harnesses chromatic aberration to produce high-quality images using a single exposure. The AI approach uses generative models to retrieve phase information from limited data input.
Researchers have developed an AI method to illuminate nanoparticle behavior, revealing key dynamics and instabilities. The technique combines electron microscopy with AI to capture atomic-level structural changes at unprecedented time resolution.
The UK's labour market is shifting towards valuing practical skills and industry-specific know-how over traditional university education for AI professionals. According to the new Oxford study, skills proficiency commands a significant wage premium compared to higher education degrees.
A study developed by the US Department of Energy's Thomas Jefferson National Accelerator Facility aims to lower data center costs using machine learning. The Digital Data Center Twin (DIDACT) system detects anomalies and diagnoses their source using AI continual learning, reducing downtime for scientists processing data from experiments.
The Rice team created a low-cost, pump-free flow cytometer that uses gravity-driven slug flow to analyze cells with similar accuracy as conventional devices. The device is powered by AI and can count specific immune cells from unpurified blood samples within minutes.
A new study from the University of Texas at Austin finds that AI can create high-quality business plans and even critique existing strategies. The research suggests that AI can enhance the speed, quality, and scale of strategic decision-making, potentially giving companies a competitive edge and enhancing performance.
A recent study by the American Psychological Association suggests that professional artists are more creative than AI-generated artwork. The research found that artwork created with prompts by experienced artists was rated as significantly more creative than AI-generated work. Additionally, analysis revealed that professional artists u...
Symplectic Elements now offers AI-generated summaries for publication abstracts, enhancing public profiles and increasing research visibility. The new functionality supports researchers and institutions in showcasing their research outputs and discoverability.
A team from the University of Trento combined AI techniques with neuroimaging measurements to analyze how emotions and language structure influence brain activity during interactions. The results show that neural synchrony is associated with emotional content and semantic structure, with implications for understanding human relationships.
A new AI-powered tool helps predict traumatic brain injury outcomes based on documented assault scenarios, providing an evidence-based approach to improve investigation accuracy. The model achieved remarkable prediction accuracy for TBI-related injuries, integrating mechanical biophysical data with forensic details.
Researchers at Mizzou have developed a proactive approach using artificial intelligence to address evolving threats against smart grids. The CIBR-Fort system can predict cyberattacks with 91.88% accuracy and defend against them in real-time, enabling scalable security for power grids of the future.
Colorectal cancer is a leading cause of mortality in China due to late-stage diagnosis. Emerging non-invasive diagnostic tests, innovative imaging techniques, and AI applications enhance CRC detection and diagnosis. However, expanding accessibility and promoting public awareness remain key challenges.
PRISm is a form of Pre-Chronic Obstructive Pulmonary Disease (Pre-COPD) characterized by respiratory symptoms and reduced lung function. Imaging assessments, such as computed tomography scans and magnetic resonance imaging, play a crucial role in diagnosing and predicting the prognosis of PRISm.
Researchers developed an AI approach to identify genes contributing to neurodevelopmental disorders like autism spectrum disorder, epilepsy, and developmental delay. The tool enhances gene discovery by predicting additional genes involved in these conditions.
Film workers express concerns about AI's impact on wages, jobs, and the artistic process. They argue that AI-generated art lacks authenticity, while some see potential benefits when humans maintain control over creative decisions.
A new AI model uses electrocardiogram (ECG) analysis to identify female patients at higher risk of heart disease, including cardiovascular disease, future heart failure, and heart attacks. The model shows that women whose ECGs more closely match the typical 'male' pattern are at a significantly higher risk of these conditions.
Researchers leveraged a large language model to classify artwork types without pre-prepared training data, achieving high accuracy. This approach enables performance comparable to conventional machine learning methods while reducing human effort and time required for data organization.
An international research team developed a user-friendly software method called Segment Anything for Microscopy, which can precisely segment images of tissues, cells, and similar structures. The new model improved performance for cell segmentation, enabling researchers to automate tasks that previously took weeks of manual effort.
Researchers developed ItpCtrl-AI, a transparent AI framework that reads chest X-rays like a radiologist, providing accurate diagnoses and increasing trust in medical technology. The framework uses a gaze heat map to show the computer where to search for abnormalities and what section of the image requires less attention.
Ebru Demir aims to study how groups of AI-driven microswimmers move in biological fluids for potential applications in drug delivery, fertility treatments, and other medical fields. Her research combines artificial microswimmers with machine learning to uncover the underlying physics governing their movement.
The ESMO Targeted Anticancer Therapies Congress 2025 features state-of-the-art presentations on new targets, tumour-agnostic drug development, and the role of artificial intelligence in cancer treatment. The congress also highlights recent study results and their potential impact on precision medicine.
A new AI-powered tool, MELD Graph, has been developed to detect subtle brain abnormalities in children with epilepsy. The tool improves detection rates by 64% compared to human radiologists, reducing delays in diagnosis and treatment. This could lead to faster surgical interventions, improved outcomes, and reduced costs for the NHS.
A new AI model measures how fast the brain ages by analyzing MRI scans, providing a more accurate picture of brain health. The tool closely correlates faster brain aging with increased cognitive decline and dementia risk, offering potential for early biomarkers and personalized treatment.
The book, RE-HUMANIZE, offers actionable frameworks to help business leaders navigate the evolving landscape of digital work. It emphasizes the importance of preserving humanity in organizations, highlighting strategies for a digital division of labor that respects human dignity.
A new review reveals AI's potential to predict diabetes subtypes, identify high-risk patients, and tailor solutions to individual needs. AI tools can detect early signs of eye damage from diabetes as accurately as specialists, improving accuracy and reducing healthcare costs.
Research team develops novel method to exploit frictionless sliding for improved memory performance and energy efficiency. The new technology enables unprecedentedly efficient data read/write operations while consuming significantly less energy.