Articles tagged with Artificial Neural Networks
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 team of chemists used artificial neural networks to analyze tea leaves' mineral content and identify the type of tea. The technique achieved a high accuracy rate, allowing for clear differentiation between white, green, black, Oolong, and red tea varieties.
NeuFlow is a new supercomputer that processes tens of megapixel images in real time, allowing for rapid object recognition. The system has the potential to enable self-driving cars by recognizing various objects on the road, such as other cars, people, and stoplights.
Researchers developed an artificial neural network (ANN) to evaluate symptoms and predict endocarditis diagnoses. The ANN achieved high accuracy in distinguishing between infected and non-infected cases, eliminating the need for invasive transesophageal echocardiography.
Researchers developed a neural network system to classify music genres, such as cha-cha-cha, jive, and tango, with varying degrees of success. The approach combines the strengths of two existing methods and uses a neural network to analyze beat and tempo, outperforming other classification techniques.
Researchers have developed an analytical method using Empirical Mode Decomposition (EMD) to classify a wider range of heart sounds than skilled physicians can. The EMD system, trained with AI algorithms, outperforms conventional methods in identifying murmurs and other anomalies.
A study published in the World Journal of Gastroenterology found that artificial neural networks can accurately predict thyroid disease in patients with atrophic body gastritis. The analysis of 253 ABG patients revealed a high accuracy rate of 76%, correctly identifying 82% of patients with thyroid disease.
A new theory proposes that learning skills, such as flying, accelerates the evolution of innate abilities in birds by creating a latent memory that reduces the need for future generations to learn. This is achieved through the use of distributed representations in neural networks, which allows for faster evolution of adaptive behaviors.
Jeff Elman's work in connectionism and artificial neural networks has led to breakthroughs in speech perception, language processing, and cognition. His creation of the TRACE model and Simple Recurrent Network has been widely used to simulate human behavior.
Ames Laboratory researchers have created an AI-powered system that can detect secret files hidden in digital images using steganalysis. The system, utilizing artificial neural networks (ANNs), has been trained on a database of over 10,000 images and achieved high accuracy rates.
A new online tool provides personalized 10-year survival predictions for prostate cancer patients, taking into account age, race, co-morbidities, and treatment type. The model also highlights the significant impact of co-morbidities on long-term survival rates.
A prototype system using NIST-patented microheater technology and artificial neural networks can reliably identify trace amounts of toxic gases. The sensors can detect compounds like sulfur-mustard gas and nerve agents at levels below 1 part per million.
Researchers have developed an AI system that can recognize various marine species, including fish and potential threats. The system, called Fetch2, has successfully identified two species - jacks and sharks - using side scan sonar data and neural networks, paving the way for autonomous surveillance of coastlines and harbors.
Researchers at Pacific Northwest National Laboratory are developing TEDANN to predict failures and abnormal operations in M1 Abrams main battle tanks' turbine engines. The technology uses diagnostic engineering, artificial neural networks, and model-based decision algorithms to enhance tank readiness while reducing costly engine failures.