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 developed AlphaZero, a generalized game-playing program that can learn any game through self-play reinforcement learning. The system mastered complex games like chess, shogi and Go within hours of self-learning and outperformed state-of-the-art AI programs.
Researchers developed an AI Clinician system that predicts and recommends optimal treatment strategies for patients with sepsis, showing a higher chance of survival compared to human doctors. The system analyzed 100,000 hospital records and made more reliable treatment decisions than humans.
Cristiano Fanelli uses artificial intelligence to optimize particle detectors and study exotic hybrid mesons. He aims to apply deep learning techniques for accurate particle identification, revolutionizing nuclear physics research.
A new AI tool called DiffProf helps developers identify and optimize energy-draining features in their apps, improving battery life. The tool analyzes 'call trees' of similar tasks to show why certain features consume more energy than others, providing actionable diagnosis and fixes for developers.
Researchers developed an ADC model that considers agent, deed, and consequence to explain variability in moral judgments. The study found that when stakes are high, consequences outweigh the nature of the deed, while lower stakes prioritize the agent's character.
Researchers at MUSC have developed a novel AI method that analyzes the neural networks of epilepsy patients to predict seizure-free outcome post-surgery. The technique, which maps the whole-brain connectome, achieved an accuracy rate of 79-88%, outperforming current clinical methods.
The Quadratic Phenotypic Optimization Platform (QPOP) uses AI to analyze small datasets and design optimal drug combinations based on real experimental data. This approach can optimize and personalize combination therapy for individual patients with complex diseases, such as multiple myeloma.
A commentary suggests using smart technology and artificial intelligence to improve the detection of sepsis in children in Canada. The authors propose automating data combinations of sepsis symptoms and other relevant information to create more accurate and low-cost trigger tools.
Researchers at MIT CSAIL have developed a robot system that can inspect and understand objects, allowing it to perform specific tasks such as picking up objects from a cluttered space. The system, called Dense Object Nets, uses a self-supervised approach and doesn't require human annotations.
The National Institute of Biomedical Imaging and Bioengineering (NIBIB) at NIH will convene experts in academia, industry, and government to discuss the state-of-the-art of AI applications for medical imaging. The workshop aims to improve quality, reproducibility, and reliability of AI in medical imaging.
A team of researchers from Simon Fraser University has developed an artificial intelligence (AI) method to anonymize faces in news reports, aiming to improve visuals and amplify emotions tied to the story. The technique uses AI painting to simulate a smart painter, resulting in more engaging videos.
A new study from MIT found that doctors' written notes reveal their 'gut feelings' play a significant role in determining how many tests they order for patients, beyond just analyzing symptoms and medical data. The researchers used sentiment analysis to uncover this correlation, which was strongest at the beginning of a patient's hospi...
Researchers have developed an AI system that can identify and quantify cyanobacteria in water samples in about one to two hours, reducing the need for expensive lab tests. This tool could provide early warnings of problems, helping to ensure safe drinking water and preventing public health issues.
A study by the University of Helsinki found that science fiction enthusiasts are more likely to approve of mind upload technology, with traditional religiousness and disgust sensitivity to sexual matters linked to negative reactions. The research also explored moral psychology perspectives on the technology.
The article discusses the ethical implications of genetic testing and the duty to warn family members of hereditary disease risks. Experts argue that patients have a moral obligation to share their genetic information with relatives, citing the principle of rescue as a framework for decision-making.
The Swiss State Secretariat for Migration and the Immigration Policy Lab (IPL) are testing a new data-driven method to assign asylum seekers to cantons across Switzerland. The algorithm aims to maximize job chances, and its recommendations will be compared to those of randomly allocated individuals over several years.
Researchers have developed a system using wearable technology and artificial intelligence to detect the onset of respiratory and cardiovascular diseases. By analyzing data from sensors on smart shirts, they can predict health-related benchmarks during daily activities.
Researchers used AI and image analysis to reconstruct the structure of plants with hidden branch structures, including those under leaves. The new technology will help in future cultivation techniques such as detailed daily management and forecasting plant growth.
Researchers have uncovered characteristics of magnetic solitons, a type of magnetic wave relevant to developing neuromorphic computing systems. The findings reveal how these components act, which is essential for realizing their potential in brain-inspired computing.
Bento browser eliminates 'tab overload' by storing each search session as a project workspace, keeping track of relevant parts of visited web pages. Users can identify useful pages, trash unhelpful ones, and pick up where they left off later.
A new RAND Corporation paper warns that AI's potential to encourage risky behavior and undermine strategic stability poses a significant threat to global security. Improved sensor technologies and the rise of first-strike capabilities could erode mutual assured destruction, making nuclear war more likely.
A new tool called Squadbox, developed by MIT CSAIL, enables people who have been targeted by online harassment to coordinate a squad of friends to filter messages and shield themselves from abusive content. The 'friend-sourcing' approach aims to augment human support with tools in a meaningful way.
Alán Aspuru-Guzik, a world-leading researcher in theoretical and computational chemistry, joins the University of Toronto as a Canada 150 Research Chair. He aims to disrupt chemistry through computer science and robotics, with a focus on bio-inspired solar energy.
A Chinese AI system can diagnose prostate cancer with accuracy comparable to human pathologists, offering potential benefits for streamlining cancer diagnosis and overcoming pathologist shortages. The system was developed using a learning algorithm and showed promise in accurately classifying malignancy levels and Gleason Grades.
AutoSaw, a system developed by MIT CSAIL, lets users design and customize furniture templates using expert knowledge and robotics for cutting tasks. The system uses small mobile robots to cut lumber with minimal risk of injury.
Researchers at Åbo Akademi University and Moffitt Cancer Research Centre are developing AI-driven precision cancer medicine to identify effective multi-drug therapies for each patient. The project combines molecular data with network modelling to analyze interactions between drugs and inhibitors, reducing the risk of drug resistance.
Researchers simulated a sea slug's decision-making process in Cyberslug, a virtual environment that mimics the creature's behavior. The study found that hunger and learning ability are crucial attributes in regulating prey consumption, laying the groundwork for more complex models of AI decision-making.
Researchers from UC3M and BQ will develop a new camera system leveraging artificial intelligence to enhance photographic quality and identify visual patterns. The collaboration aims to foster education, training, and innovation in AI research and its applications.
Scientists at Brown University have created a way for robots to learn high-level abstract representations of their surroundings, enabling them to plan and act more autonomously. By using machine learning algorithms, robots can distill complex sensory data into simple, text-based descriptions that facilitate planning and skill execution.
Researchers at USC Center for Artificial Intelligence in Society developed an AI algorithm, SPOT, to detect poachers in near real-time using infrared images. The algorithm can distinguish between humans and animals in just over three-tenths of a second, reducing the time spent on monitoring wildlife.
Researchers at Carnegie Mellon University have created a conversational agent, Evorus, that can answer a wide range of questions using a human/machine hybrid system. The system, which combines crowd workers and AI, allows the agent to learn and improve over time, making it more accurate and effective in its responses.
Research using motion sensors and AI software reveals expert bricklayers use techniques to limit joint loads and develop efficient work methods. The study's findings could lead to improved training programs for apprentices and enhanced worker safety.
A deep learning computing system developed to classify retinal images can detect diabetic retinopathy, glaucoma, and age-related macular degeneration with high accuracy. The study used 494,661 retinal images from diverse patient populations.
Researchers developed a deep learning tool to automatically analyze road behavior and create searchable databases. The system accurately labeled and tracked objects in traffic videos, identifying potential close encounters between vehicles and pedestrians.
Researchers at MIT's CSAIL developed ComText, a system that allows robots to understand contextual commands, enabling them to perform complex tasks. With this technology, Baxter, a two-armed humanoid robot, achieved success in executing commands with a 90% accuracy rate.
A new AI-powered traffic management system called SimplifAI will be tested in Manchester, aiming to reduce congestion and improve air quality. The system, developed by Professor Lee McCluskey and his team, can analyze data and devise complex strategies in a fraction of the time required by human operators.
Researchers from MIT's CSAIL have developed InstantCAD, a tool that enables designers to interactively edit and optimize CAD models using a streamlined workflow. This allows for real-time improvements and optimizations, reducing the time required to test and refine complex designs.
Researchers from MIT's CSAIL developed an AI system called Pic2Recipe that can analyze photos of food and predict ingredients and suggest similar recipes. The system was trained on a database of over 1 million recipes and showed impressive results, particularly with desserts like cookies or muffins.
Researchers developed Empowerment to help robots and humans work together safely and effectively. The concept enables robots to prioritize human safety while maintaining their own autonomy.
Researchers from MIT's CSAIL have developed a new system called Home3D that allows users to watch 3D movies at home without glasses. The system converts traditional 3D movies into a format compatible with automultiscopic displays, which show multiple images simultaneously.
Researchers developed an AI signature to detect long-term concussion effects using artificial intelligence, detecting up to 90% accuracy. The tool could aid in diagnosing and treating concussion-related symptoms, which often persist for years after the injury.
Researchers at MIT developed a system that allocates cache access on the fly to create tailored 'cache hierarchies' for specific programs, increasing processing speed by 20-30% and reducing energy consumption by 30-85%. The system, called Jenga, uses a sampling algorithm to efficiently evaluate tradeoffs between latency and space.
A team of engineers at the University of Arizona is designing an autonomous border-surveillance system that uses artificial intelligence to collect, assess, and act on data in real time. The system will deploy drones on its own and integrate data from different sources, including aerial and ground vehicles, to respond effectively.
A study using artificial intelligence has found that automated embryo assessment systems are more accurate than those of embryologists, with a 76% accuracy rate. The system uses mathematical variables from time-lapse images to classify embryos automatically, reducing human error and improving predictive value.
USC researchers found that smiling during victory can hurt future cooperation chances, but smiling during a loss can increase success odds. The study used emotion-tracking software to analyze participants' facial reactions during the Golden Balls game show.
Researchers used AI to analyze medical imaging of 48 patients' chests, predicting which would die within five years with high accuracy. The study suggests that AI can recognize subtle patterns in images to predict medical outcomes, offering new hope for early disease detection and treatment.
A new wearable system uses a 3D camera to identify surfaces and objects, providing tactile signals through vibrating motors and a reconfigurable Braille interface. The system significantly reduces obstacles other than chairs from being contacted by visually impaired users, and minimizes cane collisions with people.
A team of MIT researchers created a system that allows directors to specify a shot's framing and generate control signals for a camera-equipped autonomous drone, preserving the framing as actors move. The system guarantees safe collision avoidance with obstacles.
A new Yale University study found that even 'dumb' AI can help human groups by boosting their performance. The experiment, which used an online game with human players and robotic AI players, showed a significant improvement in the median time for groups to solve problems.
Georgia Tech researchers have developed a team of free-flying robots that can maintain formation and avoid collisions. The robots use virtual top hats to maneuver in the air. Meanwhile, autonomous blimps with face-detecting capabilities are being built to recognize hand gestures and interact with humans.
A new study reveals AI systems retain biases seen in humans, with European American names associated more with pleasant stimuli. The research uses statistical analysis of word associations to demonstrate these findings, which have implications for understanding cultural stereotypes.
Researchers from MIT's Computer Science and Artificial Intelligence Laboratory present a system called Flexplane that tests new traffic management protocols at realistic speeds without altering network hardware. The system uses a compact, efficient computational model of a network to schedule transmissions on the real network.
A £5m project by the University of Manchester aims to reduce offshore wind farm maintenance costs using AI, robotics, and advanced sensors. The initiative will enable predictive diagnostics, allowing for early issue detection and minimal human intervention in hazardous environments.
DeepStack, a computer program developed by the University of Alberta's Computer Poker Research Group, has defeated professional poker players in heads-up no-limit Texas hold'em poker. The program uses a technique called continual re-solving to determine the correct strategy for each situation, allowing it to play at human speed.
Researchers created an AI system called DeepStack that outperforms human players in heads-up no-limit poker by leveraging asymmetrical information about the game state. The system solves approximately 10^7 decision points in 5 seconds, enabling potential advances in real-world problems involving information asymmetry.
UC researchers successfully employed fuzzy logic in a simulation to show it is an ideal system for navigating under dynamic conditions. The concept, also known as genetic-fuzzy, allows drones to make good navigational decisions amid statistical noise and has real-world applications such as autonomous delivery.
Researchers analyzed Wikipedia bots' interactions on 13 language editions over ten years, finding they behave differently in culturally distinct environments. Bots often engage in 'sterile fights' lasting years or reaching deadlock, with conflicts triggered later than human reverts.
A new report reveals over 5,000 likely transshipments between 2012-2016, with potential for millions more, highlighting the need for improved regulation and monitoring of transshipment in the global seafood market. The study also identifies clusters of transshipment along EEZs of countries with limited monitoring capabilities.
A new wearable AI system developed by MIT researchers can predict the tone of conversations with high accuracy, analyzing audio and vital-sign data. The system has shown promise in understanding social interactions, particularly for people with anxiety or Asperger's syndromes.
A recent study on Reddit found that a small group of voters can significantly impact the content users see, with up-voted posts receiving a higher final score and being more likely to reach the front page. The study highlights the importance of understanding how social rating systems curate media in our daily lives.