Articles tagged with Artificial Intelligence
An international team of researchers has created a detailed map of individual cells in the adult lung, including those affected by chronic lung disease. The AI-driven finding shows that some lung tissue in patients with idiopathic pulmonary fibrosis (IPF) exhibits signs of the disease before significant structural changes occur.
Researchers found that large language models use a semantic hub mechanism to process diverse data, integrating information from various modalities. They demonstrated that models can change their outputs by intervening with text in the dominant language, even when processing other languages.
Researchers developed a machine learning model that predicts the presence of animal feeding operations with high accuracy, filling a data gap crucial for managing their environmental impacts. The model uses predictors such as surface temperature and phosphorus levels to identify locations without relying on aerial images.
Researchers at Worcester Polytechnic Institute are developing a lightweight, flexible robotic arm that enables wheelchair users to safely grasp and carry objects out of reach. The project builds on origami-inspired designs and novel fabrication methods for modules made of lightweight plastics, 3D printed components, and sensors.
A new study from the University of Surrey emphasizes the need for transparency and trustworthiness in AI models. The research proposes a comprehensive framework known as SAGE to ensure that AI explanations are contextually relevant to end-users.
Thatchaphol Saranurak and Andrew Owens have been awarded Sloan Research Fellowships for their innovative work on graph networks and machine perception systems. Their research aims to create more efficient algorithms for computing dynamic systems, such as social networks and traffic patterns.
A new study forecasts Australia's road traffic fatalities to rise to 998 by 2030 and 715 by 2050, with older drivers and male motorcyclists at the greatest risk
A new study from the University of South Australia found that most people trust AI in situations where the stakes are low, such as music suggestions. However, those with poor statistical literacy or little familiarity with AI were just as likely to trust algorithms for trivial choices as they were for critical decisions. The study also...
Validaitor offers a unique platform for AI governance, risk management, and automated testing, reducing certification costs by up to 80%. KIT's investment supports the development of trustworthy AI solutions, combining expertise in cybersecurity and energy sectors.
A study reveals that 65.8% of adults have low trust in their healthcare system's use of artificial intelligence, and 57.7% fear AI-related harm. Hospitals should increase or improve their communications with patients about AI tools to build trust.
INSEAD experts Tim Gordon and Theos Evgeniou explore the dual races of AI-driven economic growth and global leadership in a free webinar. They examine risks of market bubbles and discuss strategic implications for businesses and policymakers.
The INSEAD webinar delves into the challenges and opportunities of deploying multi-agent AI systems in large-scale enterprise environments. Experts will discuss balancing automation with strategic control and the potential for companies to operate without human involvement.
A team of researchers developed a smart jacket with environmental sensors, heat-generating yarns, and AI to monitor and regulate temperature. The jacket provides immediate temperature readings and color-changing yarns to indicate potential overheating.
Researchers have designed a compact, high-efficiency flow battery test system that requires an order of magnitude less starting material while delivering results comparable to standard lab-scale systems. The mini flow cell design is geared towards rapid screening and development of new battery materials, reducing the time and resources...
Researchers at PNNL developed a mini flow battery test system that requires less starting material while delivering comparable performance to standard lab-scale systems. This innovation reduces time and resources needed for testing new battery materials, accelerating the discovery of grid energy storage technology.
The NUS Institute for Functional Intelligent Materials is hosting the AI4X 2025 conference to explore how AI is driving breakthroughs across various natural sciences. Scientists, industry leaders, and innovators will share their knowledge on applying AI to Natural Science and Finance.
Researchers have created a novel self-healing electronic skin that repairs itself in seconds, surpassing existing technologies by up to 80%. This technology integrates artificial intelligence and offers real-time fatigue detection and muscle strength assessment with remarkable precision.
Lydia Kavraki was elected to the National Academy of Engineering for her groundbreaking contributions to robotics, biomedicine, and artificial intelligence. Her work has revolutionized motion-planning algorithms and enabled robots to collaborate with humans safely.
Relativity Networks develops patent-pending HCF cable that transmits data nearly 50% faster than conventional glass fiber, expanding data center geographical optionality. UCF's College of Optics and Photonics supports the innovation through industry partnerships and research collaborations.
The University of Oulu's 6G research programme explores AI-based applications and services for mobile networks. The recently published paper focuses on artificial intelligence methods to provide communication links and offer AI-based services between devices, base stations, massive data centres, and cloud services.
Researchers at the University of Michigan are developing AI-powered mobile clinics to improve access to healthcare in rural areas. The clinics will be equipped with an AI agent that guides medical generalists through unfamiliar diagnoses and procedures, reducing costs and improving patient outcomes.
Researchers at the University of Konstanz developed an AI system to speed up nanoparticle measurements, reducing time from hours to minutes. The system, based on Meta's open source AI technology, can accurately count complex particles and measure individual particles with high precision.
A new study from the University of Surrey explores the transformative potential of Metaverse technologies in manufacturing. The integration of advanced technologies like AR and digital twins aims to re-empower humans by making them an essential part of the manufacturing equation.
The initiative focuses on promoting conscious design processes to create quieter products, buildings and transportation systems to reduce noise pollution. By adopting a systems-thinking approach, it will address the root causes of noise and its impacts on people, environment and economy.
Discounted hotel rates available at select hotels near the Anaheim Convention Center. The Global Physics Summit will feature nearly 14,000 individual presentations on new research in various fields.
MIT researchers have developed a new approach to assess predictions with a spatial dimension, leading to more accurate forecasts in spatial prediction tasks. The new method provides better validations than classical methods, especially in cases where assumptions about data independence break down.
A groundbreaking study analyzed data from over 78,000 cancer patients to identify nearly 800 genetic changes impacting survival outcomes. The research also discovered genes significantly associated with survival in various cancers, such as breast, ovarian, skin, and gastrointestinal cancers.
Researchers developed Torque Clustering, an unsupervised learning method that efficiently uncovers patterns in vast datasets without human guidance. The algorithm outperforms traditional methods, offering a potential paradigm shift for robotics and autonomous systems.
Research finds people's skepticism towards artificial moral advisors (AMAs) stems from their perceived lack of human experience and genuine understanding. AMAs are seen as less trustworthy than human advisors when making utilitarian decisions, highlighting a need to align AI capabilities with human values.
A new machine learning model, NAS-WD, has improved the accuracy of detecting 'woody breast' in chicken meat to 95%, allowing for better quality assurance and customer confidence. The model uses hyperspectral imaging to analyze complex data from images, enabling more accurate detection than traditional methods.
Researchers have proposed a new fault-tolerant framework for distributed deep learning model training that minimizes overhead and improves efficiency. By utilizing idle system resources during training, the framework effectively coordinates tasks with fault-tolerance functions.
A £1 million grant-funded project aims to advance production of next-generation, paper-based packaging for liquids. Researchers will develop novel coating processes, mechanistic modelling, computer vision, and AI to create 'dry' spray coatings that are food-safe, degradable, and environmentally friendly.
The OmicsFootPrint tool uses AI to convert complex biological data into circular images, helping researchers visualize disease patterns and identify personalized therapies. The tool demonstrated high accuracy in distinguishing between different cancer types and has potential for studying neurological disorders.
A new AI-based tool can translate a person's thoughts into continuous text without requiring language comprehension, and it can be trained in under an hour. The system was developed by adapting a previous brain decoder to a new person using short, silent videos.
A recent study emphasizes the urgent need to address bias in generative AI systems, which can distort outcomes and erode public trust. The research suggests that developing and deploying ethical, explainable AI is crucial to ensure fairness and transparency in critical decision-making areas.
The 6G-VERSUS project aims to design and develop a 6G-enabled application framework for sustainable vertical applications, leveraging AI and network technologies. Through six pilot clusters, the consortium will demonstrate and assess framework performance and sustainability impact.
The event will address questions on artificial intelligence's power to reshape finance, including personalized banking and risk assessment. Top fintech experts from the Federal Reserve Bank of Dallas and Coinbase Institute will participate in a panel discussion.
Researchers from Flinders University assessed the RAPIDx AI tool using a pioneering artificial intelligence platform, PROLIFERATE_AI. The study found that experienced clinicians demonstrated high comprehension and engagement with the tool, while less experienced users faced usability challenges.
Researchers developed a next-generation technology, MycoBCP, using artificial intelligence to screen for antimicrobial compound candidates. This method has already vastly accelerated the team's TB research capabilities and helped identify optimal candidate compounds for drug development.
The AI-powered tool, ReCOGnAIze, uses neuroscientific games to identify early signs of cognitive impairment in just 15 minutes, achieving nearly 90% accuracy. This scalable and cost-effective solution aims to improve quality of life for individuals with mild cognitive impairment.
The National Center for Supercomputing Applications awarded 17 students Fiddler Innovation Fellowships for their outstanding contributions to student and faculty interdisciplinary research initiatives. The fellows worked on various projects, including quantum-resistant security measures and artificial intelligence productivity engines.
Dr. Gunther Eysenbach is stepping down as CEO of JMIR Publications to focus on innovation in academic publishing and AI-driven solutions. Sean Jeong takes over with a proven track record in digital transformation, agile delivery, and program execution.
The University of Ottawa's AI + Society Initiative proposes a roadmap for protecting democracies in the age of AI, addressing challenges posed by fake news and deepfakes. Four priority actions aim to support institutions against AI interference on elections and democratic processes.
Researchers created an automated system that enables developers to build algorithms taking advantage of two types of data redundancy, boosting computation speed and reducing energy consumption. The system can optimize machine-learning algorithms for a wide range of applications, including scientific computing.
A team of MIT engineers has developed a training method for multiagent systems that can guarantee their safe operation in crowded environments. The method enables agents to continually map their safety margins, allowing them to scale up to any number of agents while maintaining system safety.
A new study published in The Lancet Digital Health found that AI-supported breast cancer screening increased the detection of early-stage invasive cancers by 24% compared to traditional screening. AI also identified pre-cancerous lesions with a 51% higher rate, without increasing false positives.
The project's recordings help improve voice recognition tools by providing diverse speech patterns to train artificial intelligence models. Microsoft has seen significant improvements in recognizing non-standard English speech, with accuracy gains ranging from 18% to 60%, depending on the speaker's disability.
The TU Graz AI system optimises vehicle components using simulation models and evolutionary algorithms to reduce development time by several months. It considers multiple objectives including production costs, efficiency and package space requirements, as well as CO2 emissions across the entire supply chain.
Researchers developed an AI model that analyzes electrocardiogram (ECG) data to predict biological age and potential cognitive decline. The study, based on UK Biobank data, found a link between higher ECG-age and poorer cognitive performance.
Binghamton University researchers aim to perfect the electrospray deposition process using artificial intelligence to create consistently thin polymer films. The project seeks to overcome challenges in controlling film characteristics and data collection, enabling efficient manufacturing and reducing labor costs.
Researchers developed an AI approach using artificial intelligence to analyze multiple parameters, including medical history, laboratory values, imaging, and genetic analyses. The AI model combined the data to calculate an overall prognosis for each individual patient, making it a potential tool for personalized cancer therapy.
A recent study led by H. Lee Moffitt Cancer Center researchers found that artificial intelligence can help doctors make better decisions when treating cancer. The study showed that collaboration between AI and human judgment improves radiotherapy outcomes for patients with non-small cell lung cancer and hepatocellular carcinoma.
The Keysight-UMA Lab focuses on testing and measurement equipment for 6G networks, while the Victoria Network promotes technology through end-to-end solutions. The facilities aim to collaborate with industry and academic institutions, advancing 6G research in Spain and positioning the University of Malaga as an international benchmark.
The iKNOW system combines VR and AI features to provide a natural learning environment for students with autism. It includes avatar interactions and real-time speech recognition, allowing students to practice social skills in a more relatable setting.
Researchers found that training AI agents in a less noisy environment can lead to better performance than traditional methods. The indoor training effect suggests that constructing simulated environments with specific noise levels can improve AI learning.
A new AI-based analysis of almost 10,000 pregnancies has discovered previously unidentified combinations of risk factors linked to serious negative pregnancy outcomes. The study found that there may be up to a tenfold difference in risk for infants who are currently treated identically under clinical guidelines.
A team of researchers proposes a new generation of language models inspired by human language acquisition. They demonstrate how artificial agents learn linguistic constructions linked to their environment and sensory perceptions, leading to more realistic language understanding.
Researchers developed MUNIS, a deep learning tool that predicts CD8+ T cell epitopes with high accuracy, potentially accelerating vaccine development. The tool was validated using experimental data from influenza, HIV, and EBV, demonstrating its potential to streamline vaccine design.
The University of Bath's new Institute for Digital Security and Behavior aims to put people at the heart of research into digital security and behavior. Researchers will study factors that make individuals, organizations, and societies safer and more secure.
Researchers used AI to identify genetic factors in Parkinson's disease progression and FDA-approved drugs that can be repurposed for treatment. The study found potential risk genes like SNCA and LRRK2, which are known to cause inflammation, and identified candidate drugs such as simvastatin.