Articles tagged with Artificial Intelligence
A team of researchers created an advanced method for automatic microfossil detection and analysis using AI. The method has shown great potential in utilizing AI to analyze vast amounts of microfossil data, potentially helping geologists better utilize wellbore samples.
A Finnish study found that teaching AI basics to 4th and 7th graders improved their understanding of the technology. The students designed and created AI apps, which helped them develop conceptual understanding and critical thinking skills. The program also explored the impact and ethics of AI on children's daily lives.
A recent study proposes a roadmap for integrating edge AI into farming practices to improve efficiency, quality and safety of agricultural production. This technology enables devices to make smarter decisions faster without connecting to the cloud or off-site datacenters.
A study by Nanyang Technological University found that eight in 10 gastroenterologists in the Asia-Pacific region accept and trust AI-powered tools for diagnosing colorectal polyps. The study also highlights the need for more research into what influences doctors' acceptance of AI in their medical practice.
Researchers at Mass General Brigham developed a generative AI process that screens patients for clinical trial eligibility with high accuracy and reduced cost. The process, called RECTIFIER, was compared to traditional screening methods and found to be more accurate and cost-effective, with an estimated cost of $0.11 per patient.
Leading academics recommend extending Sustainable Development Goals to 2050, addressing climate and biodiversity targets, and incorporating AI impact, community input, and inclusive consultations. They also suggest reforming global finance architecture and framing goals as missions with clear targets.
A new AI model developed by Surrey researchers and Stanford University can accurately identify objects in complex scene sketches, even from non-artists. The model achieved an 85% accuracy rate, outperforming previous approaches that relied on labelled pixels.
Researchers developed a technique called Multi-View Attentive Contextualization (MvACon) to improve AI's ability to map 3D spaces using 2D images from multiple cameras. MvACon significantly improved the performance of vision transformers in locating objects and detecting speed and orientation.
Researchers at UC San Diego School of Medicine are developing an AI model to predict opioid addiction in high-risk patients. The model uses generative artificial intelligence to analyze genomic, social determinants of health, clinical, procedural, and demographic data to identify patients at greatest risk.
Researchers developed an AI-powered method to train robotic exoskeletons, enabling users to save energy while walking, running, and climbing stairs. The new approach allows for rapid development of exoskeleton controllers without lengthy human-involved experiments, offering promise for aiding individuals with mobility challenges.
A research team at Pohang University of Science & Technology has developed a new type of hafnia-based ferroelectric memory device that can store 16 levels of data per unit transistor. The device operates at low voltages, high speeds and exhibits stable characteristics.
Researchers from Shinshu University have created a novel composite material with exceptional capabilities for motion and physiological sensing. The new sensor design showed significant performance and stability improvements, enabling practical use in wearable applications.
The Goethe SDG Contest recognized three award-winning start-up teams: HOPES Energy, MySympto, and CERES FieldCheck. These innovative projects leverage AI and sustainable products to address pressing global challenges, including energy storage, healthcare efficiency, and environmental conservation.
A sweeping review reveals how integrating AI technologies can improve the reliability, predictability, and efficiency of solar power generation. Researchers explored maximum power point tracking, power forecasting, and fault detection in PV systems.
The article explores how AI can be applied to the electric power and energy industry, demonstrating its potential as a valuable technology for asset management. Machine learning techniques are showcased as a solution to improve efficient and sustainable energy networks.
Researchers at North Carolina State University have developed an AI-powered method to train robotic exoskeletons to autonomously assist users in various movements, reducing energy consumption by up to 24.3% for able-bodied individuals and 15.4% for those with mobility impairments.
Scientists developed an AI-powered system to track tiny devices that monitor markers of disease in the gut. The system includes a wearable coil and ingestible pill with optical gas-sensing membranes, pinpointing device location and measuring gases like ammonia. Future improvements aim to make the device smaller and more power-efficient.
A new computer vision technique developed by MIT engineers significantly speeds up the characterization of newly synthesized electronic materials. The technique automatically analyzes images of printed semiconducting samples and quickly estimates two key electronic properties: band gap and stability.
Generative AI has both positive and negative effects on social equality, impacting work, education, healthcare, information, and misinformation. Policymakers are urged to implement policies such as tax code changes, data unions, and anti-misinformation campaigns to ensure the technology is used to increase equality
Researchers found that advertising on misinformation websites is pervasive among companies across several industries and amplifies the financing of misinformation. Consumers also face substantial backlash when ads appear on such websites, switching away from companies whose products are advertised on misinformation outlets.
Researchers developed HypOp, a framework using unsupervised learning and hypergraph neural networks to solve combinatorial optimization problems significantly faster. The framework can also tackle certain problems that prior methods cannot effectively solve.
The Omega tool enables rapid analysis of complex biological images through natural language conversations, prioritizing ease of use and democratizing bioimage analysis. By leveraging large language models, scientists can process and analyze images without extensive programming skills.
A new study reveals that ChatGPT's automated content moderation filters can flag nearly 20% of its own generated scripts for content violations, including half of PG-rated shows. The research raises questions about the efficacy of using AI as a tool in scriptwriting and its potential impact on artistic expression.
A new study analyzed over 14,600 scientific publications funded by more than $4 billion in NIH grants, revealing key research topics such as clinical trials, vaccine distribution, and virology. The findings suggest that half of the funding went to five states: North Carolina, Washington, New York, California, and Massachusetts.
Researchers at Osaka Metropolitan University developed a machine learning-based deicer that offers higher performance while minimizing environmental harm. The new mixture of propylene glycol and sodium formate solution shows improved ice penetration capacity, reducing the need for substance use.
Researchers developed an AI-driven liquid biopsy to identify lung cancer through DNA fragment patterns in the blood, demonstrating a high negative predictive value of 99.8%. The test could quadruple lung cancer detection rates and prevent thousands of deaths if implemented nationwide.
Researchers are using a hyper-diverse group of herbs called bellflowers to understand relationships between species, origins, and human activity. The project combines genetic data, archaeological records, and computer modeling to create a playbook for answering similar questions in other regions.
A recent NTU Singapore study found that eight in ten gastroenterologists accept and trust the use of AI-powered tools in diagnosing and assessing colorectal polyps. The study, which surveyed 165 doctors in the Asia-Pacific region, also found that more experienced gastroenterologists perceived a lower risk of AI tools.
A Carnegie Mellon University study finds that people with autism are using AI chatbots for workplace advice, but raises questions about the quality of the advice and the need for inclusivity. The research highlights the importance of involving individuals with autism in the development of technology to address their specific needs.
Researchers in Italy have successfully monitored invasive stink bugs using drones and AI, reducing disruption and improving data capture. The system achieved a 97% detection accuracy, enabling precise forecasting models for integrated pest management strategies.
A new AI-driven tool can accurately diagnose Lewy body dementia by analyzing changes in vocal emotional expressions. The study found that individuals with Lewy body dementia exhibited more negative and calmer emotional expressions compared to those with Alzheimer's disease and healthy controls.
A new open-source platform called CheckMate allows users to interact with and evaluate the performance of large language models (LLMs) like ChatGPT. Researchers found that while LLMs can be helpful, they also make mistakes and provide incorrect information.
A study published in Radiology found that AI significantly improved breast cancer detection and reduced false-positive findings. The AI system detected more cancers while lowering the rate of unnecessary recalls, reducing radiologist workload by 33.4%.
A new AI model developed by researchers at the University of Jyvåskilö can predict and respond to human emotions, improving user experience. The model simulates cognitive evaluation processes to assess emotional responses to events, enabling computers to preemptively predict and mitigate negative emotions.
Global greenhouse cultivation has increased rapidly, with Asia accounting for 60.4% of global coverage. The practice provides opportunities for local food security and poverty alleviation, but raises environmental concerns such as water pollution and energy consumption.
Researchers combined robotics data from different sources using generative AI models to train better multipurpose robots. The approach, known as Policy Composition (PoCo), enables a robot to perform multiple tool-use tasks and adapt to new tasks in unfamiliar environments.
The Luxembourg Institute of Science and Technology is developing affordable gas sensors for environmental monitoring and occupational safety. The €8 million AMUSENS project aims to create portable, cost-effective sensors using nanotechnology and artificial intelligence.
Researchers from Osaka University developed a mobile mixed reality (MR) system for intuitive flooding forecasts, allowing urban populations to view dynamic flood forecasts on their mobile devices. The system enables widespread participation in MR visualizations, improving community preparedness and response.
Scientists at TIBI employed AI to enhance the design and production of nanofibers used in acoustic energy harvesters, resulting in higher power density and energy conversion efficiency. The AI-generated nanofibers produced better performance than conventionally fabricated devices.
A novel approach to training AI systems uses information about spatial position to identify objects and navigate surroundings, inspired by children's visual development. The method improves contrastive learning models' effectiveness by incorporating simulated spatial context information, outperforming base models in various tasks.
Researchers at Texas A&M University are investigating the historical effects of strain on shape-memory alloys to improve predictive capabilities. They will use a synergistic experimental and numerical approach to understand and predict history effects in these alloys, with potential applications in heart stents and airplane wing flaps.
A new study from Chalmers University of Technology shows that AI-controlled charging stations can offer personalized prices to electric vehicle users, minimizing both price and waiting time. However, the researchers highlight the importance of addressing ethical issues related to data exploitation by motorists.
Researchers at George Mason University used artificial intelligence to analyze data from over 3.6 million patients and create personalized antidepressant recommendations. The free website MeAgainMeds.com provides evidence-based guidance for clinicians and patients, enabling faster symptom relief and reduced medication trial time.
A team of researchers from Japan, China, and Finland created a system called generative content replacement (GCR) that uses AI to replace parts of images that might threaten confidentiality with visually similar but AI-generated alternatives. In tests, 60% of viewers couldn't tell which images had been altered.
Researchers have developed a system combining bio-inspired cameras with AI to quickly detect obstacles around cars, using less computational power. The hybrid system detects objects up to one hundred times faster than current systems while reducing data transmission and processing needs.
A new Curtin University research study found that taking pictures of food can be an accurate way to track dietary intake. The study used the mobile Food Record app, which analyzed photos to estimate energy and nutrient intake, outperforming traditional recall methods.
Researchers at Lancaster University and Radboud University Nijmegen have discovered a novel pathway to modulate and amplify spin waves at the nanoscale, paving the way for dissipation-free quantum information technologies. The study's findings could lead to the development of fast and energy-efficient computing devices.
Researchers found that AI tools require support from adults and peers for kids to integrate them meaningfully into their creative practices. The study highlights the need for tailored design approaches that account for children's unique needs and developmental stages.
A new machine-learning model is providing teachers with access to high-quality, fit-for-purpose creativity tests that can score assessments in a fraction of the time and cost. The algorithm marks a test in a single millisecond, saving teachers thousands of hours.
Researchers developed AI tools to boost digital literacy, enabling users to better control their online interactions. Two browser plug-ins, Privacy Sandbox and Dark Pita, were created to identify and address dark patterns on popular platforms.
A new study shows that a fully digital, AI-based lifestyle coaching program can effectively reduce blood pressure in adults with hypertension. The program, which leverages data from wearable activity trackers and BP monitors, also increases participant engagement and reduces the need for manual clinician outreach.
A new study reveals TNIK's role in various diseases, including fibrosis, cancer, obesity, and Alzheimer's. The protein has been found to drive cancer cell proliferation and treatment resistance, while also regulating metabolic processes.
A new study in JCOM monitored changes in university communication within the German landscape six months after the launch of ChatGPT 3. Practically all responding universities use generative AIs mainly to increase process efficiency, with some caution towards ethical aspects such as data protection.
A University of Washington team has developed an AI system called Target Speech Hearing that cancels all other sounds and plays the enrolled speaker's voice in real time. The system was tested on 21 subjects, who rated the clarity of the enrolled speaker's voice nearly twice as high as the unfiltered audio on average.
A recent study uses AI to analyze body composition in patients with lung cancer treated with immunotherapy, finding that changes in muscle mass and fat quality are important indicators of outcomes. The research provides a more nuanced understanding of the relationship between body composition and response to immunotherapy.
The team aims to create a system that can deliver items without human contact, using cables, knots, and multiple robots. They will focus on scaling up the transport of small objects like a basketball and solar panel.
This study uses machine learning to analyze plant science research topics and reveal shifts in model systems and country-specific research focus. The analysis provides insights into the evolution of plant science research in different countries.
Researchers from Ohio State University propose the integration of AI technology in customer service to enhance operational efficiency and customer satisfaction. The benefits include increased accessibility, consistency, and personalized experiences, while addressing evolving hospitality trends.
The study identified over 150 genetic variants linked to disease and showcased the utility of using organoids for brain research. Machine learning was used to predict gene activity, enabling faster and more efficient research.
A new AI model developed by Cold Spring Harbor Laboratory's Benjamin Cowley and team uses a 'population code' to predict fruit fly behavior, revealing that multiple neurons combine to sculpt actions. The breakthrough enables the AI to accurately predict how real flies will behave in response to visual stimuli.