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 AI model using deep transfer learning accurately predicted spoken language outcomes in deaf children after cochlear implants. The 'predict-to-prescribe' approach allows for earlier intensified therapy for children forecast to struggle with spoken language.
A study published in EMBO Molecular Medicine has identified a combination of statins and phenothiazines that shows promise in treating aggressive neuroblastoma. The drug combination was found to impede tumour growth and improve survival rates in laboratory trials with mice.
A research team at Huazhong University of Science and Technology developed an Ag/Sb2O3/Au molecular-crystal memristor array for real-time edge computing in smart power grid inspections. The device enables ultra-low-power switching, supporting non-volatile and volatile modes for tasks like image convolution and transient event detection.
HSE economists found that AI models like ChatGPT and Claude tend to play 'too smart' and lose in strategic thinking games by assuming a higher level of logic in people than is actually present. The study replicated results from previous human participant experiments, showing LLMs adapt to opponents with varying levels of sophistication.
A team of researchers at Osaka Metropolitan University has created two models to detect and fix common labeling errors in large radiographic collections. The models achieved high accuracy rates for body-part classification and projection/orientation detection, showing promising results for improving deep-learning models in medical AI.
Researchers developed an AI-based noninvasive tool to predict oropharyngeal cancer spread, identifying patients who should receive aggressive treatment or undergo de-intensification. The tool improved risk stratification, enabling more accurate predictions of survival and cancer spread.
A new study analyzed over 460,000 scientific abstracts to identify key themes, trends, and research gaps in aging research. The study found a growing separation between basic biological studies and clinical research, highlighting the need for integration to translate laboratory discoveries into medical applications.
Researchers at Tsinghua University Press propose integrating AI technology into launch vehicles to address challenges of high-frequency launches and reliable flights. The system aims to achieve hour-level test, inspection, and decision-making times for large launch vehicles.
A new study finds that large language models like ChatGPT significantly boost paper production, especially for non-native English speakers. However, this increase in AI-written papers makes it harder to separate valuable contributions from low-quality work.
As chatbots become more sophisticated, they are likely to generate and spread gossip, leading to reputational damage, shame, and social unrest. Drs. Joel Krueger and Lucy Osler warn that this 'feral' AI gossip can be particularly damaging due to its ability to operate unconstrained by human norms.
Researchers used causal AI to extract insights from ARPES data of cesium vanadium antimonide, a kagome superconducting material. The technology revealed that the chemical bonding state of cesium atoms strongly influences the electronic state of the V3Sb5 layer, responsible for superconductivity.
Researchers at the University of Arizona developed a mesh sleeve that monitors leg movements using AI to detect early warning signs of frailty. The device sends only the analyzed results, reducing transmission and internet requirements.
Researchers from RIKEN and their international collaborators used deep learning techniques to analyze unexamined nuclear emulsion data and identified a new double-Lambda hypernucleus. This is the world's first AI-assisted observation of such an exotic nucleus, providing new insight into neutron star cores.
The new program focuses on advancing foundational research in AI, including innovation in language models and algorithmic efficiency. Google will support research grants, scholarships for students, and educational initiatives at the TAU Center.
Researchers found that AIs consistently converged on 12 common themes despite diverse prompts, suggesting biases in training data. The models failed to generate novel or creative outputs, highlighting the need for anti-convergence mechanisms and human input for AI's creative potential.
Researchers developed RNACOREX, a new open-source software tool that identifies gene regulation networks in cancer. The tool analyzes thousands of molecules simultaneously to detect key interactions, providing an interpretable molecular map that improves understanding of tumors.
A new study uses AI to regulate mechanical ventilation for patients with ARDS, aiming to provide personalized support. The tool combines live patient monitoring with historical data to modulate ventilation parameters and reduce lung injury.
CORAL accurately predicts genetic subtypes and patient outcomes in multiple myeloma without costly genomic tests. The technology could be applied to other cancers, opening the door to personalized, faster and widely accessible cancer care.
A new AI-assisted device, CanvasDx, has been shown to improve autism care access in rural Missouri communities. By reducing travel distances and processing times, families can receive diagnoses up to 5-7 months earlier.
The ACM's Technology Policy Council has issued a report on automated speech recognition (ASR) highlighting the need for rigorous audit and governance practices. The report raises concerns about technological bias, inequity, and lack of transparency in ASR systems.
Researchers developed a scientifically validated personality test framework for AI chatbots, showing that larger models accurately emulated human traits and could be reliably shaped through prompts. The study raises concerns about AI safety and ethics, highlighting the need for regulation to prevent misuse.
A new AI method has identified 51 old pea varieties with high starch and protein content, potentially suitable for producing plant-based foods. The study shows a close relationship between seed appearance and chemical composition, enabling partial prediction of properties based on images.
Researchers will use revolutionary technology to transform understanding of extreme environments, revealing how black holes behave and evolve. The project aims to deliver dynamic gravitational tomography, creating 3D movies showing plasma flows around black holes.
A novel approach has been proposed to facilitate collaboration between human researchers and AI in self-driving labs. The AI advisor model enables humans to make real-time decisions while leveraging AI's data-processing prowess.
Researchers have identified DNA switches that control how brain cells called astrocytes work, which are known to play a role in Alzheimer's disease. The study used CRISPRi technology and single-cell RNA sequencing to test nearly 1000 potential switches, finding that about 150 of them controlled genes implicated in Alzheimer's disease.
A small analysis found AI-generated images of doctors exaggerate and reinforce existing stereotypes on sex, gender, race, and ethnicity. This contradicts recent medical workforce statistics, which show a more diverse range of doctors in the UK and US.
Mayo Clinic researchers developed an AI-ECG model that accurately diagnoses advanced chronic liver disease, allowing for early intervention and potential lifesaving treatment. The study found the model detected twice as many cases as standard methods, highlighting the promise of AI in preventive care.
A new computational framework allows researchers to recreate different evolutionary trees by changing the structure of the world and tasks AI agents complete. The framework showcases how tasks drove eye evolution in agents, with navigation tasks leading to compound eyes and object discrimination driving camera-type eyes.
A new AI framework uses a pre-trained viral protein language model to predict the adaptation risk of unknown viruses. The framework, called GIVAL, achieves high accuracy and robustness even with incomplete data, providing critical support for early warning and proactive prevention and control of viral infectious diseases.
A new study from the University of East Anglia finds that AI tools excel at speed and clarity, but human translators remain crucial for tone, cultural nuance, and natural sound. Generative AI can handle parts of video translation, but consumers still notice when something feels off.
Researchers at IIT identified a candidate molecule called Apt1 that enhances existing anticancer therapies by making tumour cells more vulnerable to chemotherapy drugs. The molecule slows DNA repair and impairs the interaction between RAD51 and BRCA2 proteins, inducing synthetic lethality in cancerous cells.
Dr. Tom McClelland from the University of Cambridge believes that our current evidence is insufficient to determine whether artificial intelligence has achieved consciousness. He suggests that sentience, which involves positive and negative feelings, is a more critical factor in making AI ethically significant.
A new study found remarkable variation in how populations evolve in variable environments, with some cases benefiting from changes and others being hindered. The research has implications for understanding evolution and adapting to climate change, as well as informing AI and machine learning.
A research team at the University of Ottawa developed an AI system to autonomously defend wireless networks against jamming attacks. The dual-agent framework predicts interference events and makes real-time decisions to maintain essential communications during attacks.
A new study warns that AI is racing ahead of safety checks in GP clinics, putting patients at risk. The research found that many GPs use AI tools without thorough evaluation or regulatory oversight, carrying risks like automation bias and loss of important social details.
An AI-driven robotic assembly system allows people to build physical objects by simply describing them in words. The system uses generative AI models to build a 3D representation of an object's geometry based on the user's prompt, and then iterates on the design based on feedback from the user.
Researchers developed an AI model that can detect coronary microvascular dysfunction using a common electrocardiogram, outperforming previous models in diagnostic tasks. The model can accurately identify a condition often missed in emergency department visits, providing a cost-effective and non-invasive way to diagnose serious heart co...
Researchers propose a novel approach to AI hardware design by integrating neuromorphic systems and compute-in-memory techniques to overcome the limitations of modern computing hardware. This could lead to more efficient data center energy use and enable real-time intelligence in compact, power-constrained systems.
A new study led by Harvard Medical School researchers found that AI models analyzing pathology samples can infer demographic information, leading to biased diagnoses. The team developed a framework called FAIR-Path to reduce bias in these models, which showed improved performance across demographics.
Researchers propose integrating processing capability within memory units to reduce energy consumption and latency in AI applications. Inspired by the brain's efficient processing mechanisms, spiking neural networks (SNNs) can respond to irregular events and store information in the same place.
A recent study reveals that sampling biases in bacterial population structure can severely undermine the accuracy of AI models predicting antimicrobial resistance. The researchers recommend evaluating future methods to address this issue.
Researchers have launched a new multimodal medical dataset, Observer, capturing anonymized, real-time interactions between patients and clinicians. The dataset links video, audio, transcripts, and electronic health records to study subtleties like body language and environmental factors affecting care.
Stanford engineers develop an AI framework called MetaChat, which rapidly accelerates metasurface design using computational tools and self-reflective AI assistants. This enables rapid solving of optics-related problems, such as designing metal lenses that can focus different wavelengths of light.
AI is becoming increasingly used in peer review, with 53% of reviewers now utilizing AI tools to enhance research quality and trust. The study highlights significant untapped potential for AI to support rigor, reproducibility, and deeper methodological insight.
Researchers used AI to study covert attention and found emergent properties in artificial neural networks, including new neuron types with response properties never highlighted before. The findings have implications for our understanding of the human brain and its ability to process information.
The University of Oklahoma researcher is working on a project using inverse design techniques and AI to create advanced materials that can quickly switch between conductive and insulating states. The goal is to reduce uncertainty in the discovery process and create a scalable material-design methodology.
A team of MIT engineers developed a deep-learning model that predicts how individual cells will fold, divide, and rearrange during a fruit fly's earliest stage of growth. The model achieved 90% accuracy in predicting the movement of 5,000 cells over the first hour of development.
Researchers at UT Health Sciences Center have developed an AI-enhanced platform called ENRICH, which leverages advanced analytics with community-based human support to reduce treatment interruptions and improve cancer outcomes. The program identifies patients at highest risk for interruption and deploys targeted support resources.
Researchers at Mayo Clinic have developed a smartwatch-based alert system that signals parents to intervene in children with emotional and behavioral disorders, reducing tantrum duration by an average of 11 minutes. The system uses physiological stress signals detected by the smartwatch to prompt parental intervention.
Researchers found a positive relationship between government support and voluntary planting of cover crops in Arkansas. The study showed that soybean-to-soybean rotation is the most common aftercover crop adoption, with voluntary cover crops increasing by 5% over the 2013-2019 period.
A new study found that highly educated, Western European millennials have the most digital concerns, with individuals having higher levels of digital literacy being the most affected. The research also found that people's perceptions of digital harm are heightened by their level of digital exposure and knowledge.
Researchers trained AI systems on data from two cultural groups playing a video game, finding that the agents learned and applied the group's degree of altruism. This approach, called inverse reinforcement learning, more closely aligns with human development and learning, where values are 'caught' rather than 'taught'.
A study published by Michigan Medicine suggests that AI can help increase the chance of people with risky drinking patterns or signs of alcohol use disorder getting outreach and help. The NLP tool analyzed full text of health records and identified over 47,500 patients with some sign of risky drinking.
Mass General Brigham's new AI company, AIwithCare, has developed a software platform that leverages generative AI to screen patients for clinical trial eligibility. The tool, RECTIFIER, was found to accurately identify eligible patients and enroll them in clinical trials at a lower cost than traditional methods.
A third of teenagers use AI companions for social interaction, with some reporting more satisfying conversations than humans. Experts caution against problematic chatbot use as a new environmental risk factor, particularly among vulnerable populations.
A new study suggests that a simple ECG reading from a smartwatch can accurately estimate a person's age, potentially offering a secure alternative to facial recognition or ID checks. The method achieved an average error of just under three years and accuracy consistently reached between 93 and 96%.
A new method has been developed to generate valid confidence intervals for problems involving data that vary across space, helping researchers trust the results of certain experiments. This work can be applied to fields like environmental science and epidemiology.
A new study by researchers at TU Graz and the Know Center shows that AI-powered recommender systems can perpetuate unfairness if not designed with human decision-making in mind. The study proposes a multi-stakeholder approach, involving service providers, municipalities, and local residents, to ensure fairness and transparency.
MIT researchers developed a new fabrication method to stack multiple functional components on top of one existing circuit, reducing energy wasted during computation. The new approach enables the production of more energy-efficient electronics, boosting computation speed and reducing electricity consumption.
Researchers developed an AI tool to identify patients with undiagnosed Alzheimer's disease using electronic health records, addressing underdiagnosis and healthcare inequities. The model achieved sensitivity rates of 77-81% across diverse populations, promoting fairness while maintaining high accuracy.