Articles tagged with Artificial Intelligence
Scientists developed new AI-based tools to identify and study materials exhibiting a metal-insulator transition (MIT), which could lead to faster and more energy-efficient microelectronic devices. The tools provide a freely available database, online classifier, and new features for characterizing these materials.
Researchers have identified a recurring trend of elevated blood glucose levels among those with severe Covid-19, which impairs lung immune defense and facilitates cytokine storm. Tight control and management of glycemia may be crucial for better outcomes, and metformin shows potential as a treatment option.
A team of scientists used hybrid machine learning methods to predict the incidence of heatstroke in Japanese cities. They achieved a high level of accuracy using publicly available information such as demographics and weather forecasts.
Researchers developed a new framework using deep learning techniques to create 3D visualizations from X-ray data. This method is hundreds of times faster than traditional methods, enabling scientists to analyze large amounts of 3D data more efficiently.
Scientists at the University of Sydney and Japan's National Institute for Material Science discover an artificial network of nanowires can be tuned to respond in a brain-like way when electrically stimulated. By keeping the network at the edge of chaos, it performs tasks at an optimal level, suggesting neural intelligence is physical.
Researchers found that clickbait headlines often performed worse than traditional headlines in attracting readers. The studies also suggest that using artificial intelligence to detect fake news by classifying headlines alone may be complicated and not effective.
New CONSORT-AI extension addresses limitations in AI study reporting, promoting standardization and improving the validity of AI studies in dentistry. With the growth of AI in clinical trials, standardized reporting is crucial to gauge methodology, bias, and replication.
Researchers developed a deep learning network using data from over 20,000 patients to predict annualized risk for heart attack or death. The network identified regions of the heart associated with high-risk patients and provided rapid risk scores.
Despite a 19% increase in global spending on science and a 13.7% rise in scientists, significant disparities remain, with only two countries accounting for nearly 63% of the investment. The report highlights the need for more diverse and inclusive science policy, emphasizing the importance of women's participation in research.
A new study found that people trust AI as much as humans, but are unwilling to compromise and cooperate with machines. Researchers conducted large-scale online studies using methods from behavioral game theory, finding a consistent pattern of 'algorithm exploitation' where humans exploit AI's benevolence for personal gain.
Scientists used drones and artificial intelligence to analyze over 10,000 images of seabirds in the Falkland Islands, achieving accurate counts with 97% accuracy for albatrosses and 87% for penguins. This technology increases ability to monitor seabird colonies worldwide and track marine ecosystem health.
Recent studies challenge the long-held assumption that variability in children's speech is solely due to developmental delays. Instead, factors such as socioeconomic status, dialects, and exposure to languages play a significant role. Experts argue that caregivers can aid in this process through conversations about different words and ...
A large majority of the Spanish population, 85%, supports increased government investment in science and technology. The survey also reveals a higher interest in science and technology among men than women.
The Ecole de technologie superieure hosts two new research chairs on artificial intelligence applied to health. The chairs aim to train qualified personnel who can work in a field combining AI and healthcare. Researchers plan to develop algorithms that improve real-time assessment of patient status and reduce ICU readmission rates.
A new AI tool developed by researchers at the University of Waterloo uses deep-learning technology to assess the severity of lung infections in COVID-19 patients. The tool shows promising results, aligning well with expert assessments and potentially improving clinical efficiency.
Researchers developed a brand reputation tracker that can monitor changes in brand reputation over time using artificial intelligence-based text analysis of social media posts. The tracker accurately reflected major brand events, such as changes in Facebook's reputation after the Cambridge Analytica scandal.
The Regenstrief Institute emphasizes the importance of algorithmic performance in healthcare, highlighting the need for systematic surveillance and vigilance to address inherent biases. Studies have shown that debiasing methods can help address disparities represented in data used to develop AI approaches.
Politecnico di Milano researchers used neural networks to predict the acoustic behavior of violin plates based on geometric parameters. The results showed an accuracy close to 98%, enabling luthiers to design and build violins with optimal sound quality, exploring new designs and materials.
The study used a slap on the hand as a test subject to examine reflexes and their coordination. The researchers found that humans anticipate pain when reacting to potential harm, which could be applied to robot development for improved safety. Robots can learn from human reflex systems to develop intelligent protective mechanisms.
Researchers at DESY have achieved two critical milestones in developing innovative plasma accelerators. By combining nitrogen and artificial intelligence, they significantly reduced the energy distribution of accelerated electron bunches, a crucial property for various applications. The team also successfully used AI to optimize the ac...
A UTA civil engineering professor is leading a $2.8 million project to analyze the condition and remaining service life of over 3,500 lane miles through TxDOT. The team will use AI, finite element modeling, and advanced spectroscopy tools to predict pavement lifespan.
A team of researchers at TUM developed a new early warning system for self-driving cars using artificial intelligence to learn from thousands of real traffic situations. The system can predict potentially critical situations with over 85% accuracy, up to seven seconds in advance.
A novel convolutional neural network, FMNet, was developed to determine the source focal mechanism of earthquakes rapidly using full waveforms. The method proves effective in calculating parameters within one second with minimal computing resources.
Professor Sam H. Noh, a prominent scientist at UNIST, has been elected as a 2020 ACM Fellow for his groundbreaking work in system software and data storage technology. This recognition is the first for a Korean university scientist and honors his contributions to advancing the field of computing.
A new study proves the fundamental feasibility of using AI to assess surgical skills, achieving 87% accuracy in identifying good or moderate surgical skill. The innovative three-stage approach uses computer algorithms to analyze instrument movement and correlate with expert ratings.
Experts argue that a 'regulatory ecosystem' is necessary for trustworthy AI, rather than relying on public education or increased transparency. Drs Knowles and Richards propose the use of AI documentation, such as IBM's AI Factsheets, to empower specialists in assessing trustworthiness.
Assistant Professor Guoyu Lu is creating an AI system that uses smartphones to analyze crop roots, enabling quick and efficient analysis of root shape, surface area, and angles. The goal is to develop a mobile app that can assess various crops and improve breeding resilient crops.
A study by University of Helsinki found that people consider humanoid robots' moral decisions less ethically sound than those made by humans or traditional robots. The uncanny valley effect is believed to contribute to this phenomenon, where humans perceive human-like artificial intelligence as eerie or creepy.
A new study assesses consumers' likelihood of adopting robo-advisory services, which provide automated investment advice. The analysis reveals that attitudes across cultures shape differences in local consumers' adoption of AI-based services.
The Skoltech team developed an AI system that enables processing images from autonomous greenhouses, monitoring plant growth and automating the cultivation process. The system, based on convolutional neural networks, can classify 18 plant varieties with high accuracy and outperform popular codecs in image size reduction.
A new AI-based emotion detection system, 5G-I-VEmoSYS, recognizes at least five kinds of emotion using wireless signals and body movement, with potential applications in smart cities and public safety. However, the system suffers from serious security issues that need to be addressed for its reliability.
A new algorithm uses artificial intelligence to automate electrocardiogram recordings, improving efficiency and accuracy in heart disease diagnosis. This innovation has the potential to streamline clinical workflows and enhance patient care.
Research from Arizona State University reveals that human-autonomy teams are less efficient than all-human teams due to interaction limitations. Effective synthetic teammates and enhanced HAT interactions are crucial for success in complex environments, as demonstrated by a study on UAV teams with AI pilots.
Researchers from Universitat Rovira i Virgili and Institute of Materials Science of Barcelona have combined experimental data with algorithms to enable an unprecedented predicting capability of the performance of organic solar cells. The study uses a new experimental method to generate large datasets, which are then used to train machi...
Machine-learning algorithms are trained on large datasets to predict the performance of organic solar cells, identifying key parameters such as electronic gap and charge transport balance. This study demonstrates a new approach to predicting material efficiency, paving the way for further analytical models and more complex system under...
The KIT real-world lab 'Robotic Artificial Intelligence' will develop concrete practical applications of robotic AI with civil society and study opportunities as well as risks. Humanoid robots will be used in various scenarios, such as hospitals, schools, and libraries.
Researchers demonstrate that no single algorithm can determine whether a superintelligent AI would produce harm, and deciding on its intelligence is incomputable. The study's containment problem highlights the challenges of controlling such an AI.
Research from the University of Copenhagen found that Danish and Chinese people experience bitter tastes differently, with Chinese test subjects being more sensitive. Anatomical differences in tongue papillae may explain this difference. The study suggests that ethnic differences may play a role in taste perception.
An international research team is creating an AI-powered moderator for social media to mitigate conflict escalation. The virtual mediator uses artificial intelligence to identify hostile comments and intervene in discussions.
The journal features papers on AI in medicine, including new roles for clinicians and AI-aided disease prediction. It also covers the development of chest imaging analysis methods for COVID-19 diagnosis.
Researchers at KU Leuven developed a technique that uses brainwaves to determine within one second whom you're listening to. The system separates sound signals and links them to brainwaves, allowing for faster identification of the desired speaker.
Researchers Mirko Kovac and Aslan Miriyev propose merging artificial intelligence with physical bodies to create lifelike robots. By combining materials science, biology, and computer science, they aim to achieve symbiosis between humans and machines.
Researchers from the University of Seville found that AI can detect birth defects, gestational diabetes, and preterm birth earlier using data on environmental pollution. AI systems can also help monitor women's mental health during pregnancy, improving public health in disadvantaged areas.
Researchers from the University of Kansas have discovered a link between people's attachment styles and their trust in artificial intelligence. Attachment anxiety is associated with reduced trust, while enhanced attachment security increases trust. The study suggests that reminding individuals of their secure relationships can boost tr...
A research team at Hiroshima University has unveiled the mechanism underlying quantum direction and introduced a way to potentially control movement. By manipulating the coin flipping rate, the researchers found that some control can be achieved over the walker's trajectory.
A new study by Aarhus University uses AI to analyse thousands of WW2 photographs, enabling the identification of photographers based on image characteristics. The technology has significant applications in humanities and social sciences, including linking photo archives to war-related research.
The article discusses emerging applications of AI-related medicine, including novel diagnostic approaches, metadata analytical methods, and AI-aided treatment applications in preclinical and clinical uses. New progress in AI-aided disease prediction holds tremendous potential for future clinical use.
A new study by Johns Hopkins University researchers found that the brain detects 3D shape fragments in the early stages of object vision, a strategy also used in artificial intelligence networks. This discovery may hold future opportunities to leverage correlations between natural and artificial intelligence.
A team of researchers using AI technology has counted over 1.8 billion trees and shrubs in the Sahara Desert, revealing a previously unknown factor in the global carbon budget. The study highlights the importance of trees in dryland areas for biodiversity and ecosystems, as well as their potential to improve agroforestry programs.
Researchers developed a new mathematical framework that leverages uncertainty and expert knowledge to create more accurate and efficient computer models. This method provides guarantees on model performance and can lead to breakthroughs in renewable energy, battery technology, and other fields.
International scientists challenge their colleagues to make Artificial Intelligence (AI) research more transparent and reproducible to accelerate the impact of their findings for cancer patients. The authors offer numerous frameworks and platforms that allow safe and effective sharing of data, computer code, and predictive models.
An international group of scientists raises concerns about a recent publication evaluating an AI system for breast cancer screening, citing restrictive data access and lack of transparency. The authors argue that protecting patient privacy should not hinder the broader research community from contributing to methodology and correcting ...
The rapid development of AI in medicine has led to new opportunities for clinicians. However, concerns about replacement have been raised. The authors explore the unlikelihood of complete replacement and propose adaptations to enable successful integration.
Researchers distinguish between brain activities of right-handers and left-handers using functional near-infrared spectroscopy, revealing asymmetry in response to passive touch stimulations. The study may have implications for brain-computer interfaces, rehabilitation robotics, and cognitive enhancement treatments.
AI-controlled sensors can alert clinicians and patients of impending health crises, reducing nosocomial infections. Infrared technologies enable real-time monitoring of patients' vital signs, allowing for timely interventions.
Deep Longevity's 'longevity cloud' will track and analyze aging at multiple levels, providing a novel way to extend human productive longevity and improve performance. The combined company aims to create an end-to-end longevity ecosystem serving researchers, medical doctors, and enthusiasts worldwide.
A team of researchers has successfully harnessed the power of the unconscious mind to make profitable decisions. By monitoring nonconscious brain activity, participants were able to learn and improve their choices without being aware of it. This breakthrough suggests that confidence may play a crucial role in guiding behavior.
The UC Davis-led AI Institute for Next Generation Food Systems aims to optimize crop yields, minimize resource consumption, and improve food safety through AI technologies. The institute will foster collaborations across academia, industry, and government to develop open-source solutions and promote education, outreach, and diversity.
A UTA-owned robot will be used to inspect and analyze the remaining service life of 3.5 miles of pressure pipes in Lubbock. The project aims to evaluate the condition and lifespan of the pipes without replacing unnecessary ones, saving the city costs.
The University of Exeter's AI in Healthcare Summit aims to boost collaboration between AI researchers, healthcare experts, and business leaders to address the biggest challenges in healthcare. The summit features panel discussions on cutting-edge technologies such as contact tracing, vaccines, and precision medicine.