Articles tagged with Artificial Intelligence
A multinational study involving Aarhus University sheds light on patients' attitudes toward AI in dental diagnostics. Patients view AI as a useful diagnostic tool but express concerns over data privacy and cost implications. The overwhelming majority insists on professional human oversight, echoing the views of dental professionals.
Researchers at Tokyo University of Science developed a self-powered artificial synapse capable of distinguishing colors with remarkable precision. The device generates electricity via solar energy conversion, making it suitable for edge computing applications.
Researchers developed a novel approach to automated spoken English assessment integrating acoustic, turn-taking, linguistic, and visual components. The multioutput learning framework achieved an accuracy of approximately 83% in predicting SEE scores.
Researchers successfully reproduced high-pressure synthesis reaction of superhydrides using a machine learning model, revealing a unique reaction pathway involving surface melting, hydrogen absorption, and solidification. This breakthrough deepens understanding of high-pressure physico-chemical processes and holds promise for easier de...
A research team has designed a chatbot system to simulate group therapy for managing premenstrual syndrome (PMS), a common disorder among women. The system provides simultaneous support for understanding, coping, and connections with peers, improving engagement and language convergence with participants.
Assistant professor of electrical and computer engineering Natasa Miskov-Zivanov is receiving a $581,503 NSF CAREER Award for her project that leverages AI to design more effective lymphocytes for cancer immunotherapies. The system aims to accelerate the process of designing new therapeutic cell designs.
A new study compares traditional diagnostic decision support systems (DDSSs) to generative AI and finds that DDSSs perform somewhat better. The researchers envision pairing these two approaches to improve diagnostic capabilities and patient outcomes.
Experts Cary Coglianese and Colton Crum argue that management-based regulation, or using
A refined artificial intelligence (AI) tool has shown promise for objective evaluation of patients with facial palsy. The 'fine-tuned' model demonstrated substantially lower error rates and improved keypoint detection in every area of the face, including areas of asymmetry.
A multi-university team is using AI to design radio frequency integrated circuits (RFICs), reducing development time and cost. The project aims to lower the barrier to entry for researchers and companies, making RFICs more accessible to solve problems and advance technological innovation.
A new AI tool developed by University of Missouri researchers can predict the 3D shape of chromosomes inside individual cells, providing a new view of how genes work. The tool helps identify unique differences in chromosome folding between cells, which controls gene activity and can lead to diseases like cancer.
The African Engineering and Technology Network has signed its ninth university partner, Universidade Agostinho Neto. The network, led by Carnegie Mellon University Africa, aims to promote pan-African digital growth through research, education, and entrepreneurship.
The study identified four simple ways music learning technology can aid prospective musicians, including helping people improve recall while listening and replaying notes indefinitely. Researchers found that existing digital learning tools were not being used effectively by students despite their availability.
An experimental study found that humans are less likely to exhibit fairness, trust, and cooperation when interacting with a large language model (LLM) compared to another human. Participants in online games played with either a human or an LLM acting on behalf of another person showed reduced social behavior.
Researchers from Empa developed machine learning algorithms to optimize laser-based manufacturing techniques, reducing preliminary experiments by two-thirds. They also implemented real-time optimization using field-programmable gate arrays (FPGAs) for improved welding processes.
A recent study evaluates GPT-4's performance in solving letter-string analogies, a task requiring basic counting and relational understanding. The model excels at this task, demonstrating emergent analogical reasoning capabilities that may be supported by structured operations and relational representations.
A new study investigated people's moral judgments on euthanasia decisions made by AI and robots compared to human doctors. The research found that people generally prefer decisions made by humans over AI in end-of-life care situations.
Aerial robots are limited to manipulating rigid objects, but Lehigh University researcher David Saldaña aims to expand their capabilities with an adaptive controller and reinforcement learning. His research has potential applications in construction, disaster response, and industrial automation.
Researchers from The University of Osaka have demonstrated that vision transformers can spontaneously develop human-like visual attention patterns without specific training. This breakthrough showcases the potential of self-supervised learning for advancing AI applications and modeling biological vision.
The ERQA framework uses a semantic vector database and curated literature repository to improve medical knowledge discovery, achieving high retrieval accuracy in literature-based QA and abstract summarization. The researchers plan to further improve the model by incorporating larger-scale biomedical literature datasets.
The Stuttgart Cluster of Excellence IntCDC will continue to develop innovative construction methods that reduce resource consumption and CO2 emissions through computational design and engineering methods. The cluster aims to evolve its Co-Design approach into a Co-Agency approach, focusing on bio-based building materials, AI technologi...
A team of researchers from UNIGE and UniBE used generative AI to assess emotional intelligence, finding that AIs achieved significantly higher scores than humans. The results also showed that AIs can generate new emotional intelligence tests in record time.
Aurora, a state-of-the-art machine learning model, delivers high-quality forecasts for key environmental systems like air quality, weather, and tropical cyclones. The model's flexibility enables it to be used for various future scenarios, including flood risks, wildfire spread, and renewable energy output.
UT-Battelle has donated $225,000 to purchase advanced manufacturing equipment for Oak Ridge High School's Wildcat Manufacturing iSchool program. The equipment includes AI- and robotics-assisted manufacturing systems, enabling students to earn college credit while gaining experience with the latest innovations in intelligent manufacturing.
Researchers at UCSF have successfully engineered a shapeshifting protein that can change shape in response to signals, potentially leading to breakthroughs in medicine, agriculture, and environmental applications. This achievement marks the first step towards creating stable yet dynamic proteins using AI-augmented protein engineering.
Researchers at UC San Diego develop new approach using artificial intelligence to predict therapy outcomes and match patients with right treatments, improving cancer care and patient outcomes.
OneCareAI applies AI and supercomputing to detect early stroke risk from ECG data obtained with smartwatches, offering a non-invasive solution for personalized risk assessments. The technology has the potential to be extended to other cardiovascular diseases, opening opportunities for scalability.
University of Missouri researchers create digital sentiment map using AI to analyze public Instagram posts, linking emotional tone to real-life features. The tool aims to improve city services, identify areas of concern, and inform emergency response decisions.
While digital and artificial intelligence-based pathology (DAIP) offers improved diagnostic accuracy and equity, its implementation is hindered by financial constraints, technical challenges, and legal/ethical concerns. A balanced assessment of the benefits and pitfalls must be conducted before adopting DAIP.
Triboelectric and piezoelectric nanogenerators convert mechanical energy into electrical energy, enhancing robotic autonomy and efficiency. The technology has the potential to reshape future robotic capabilities, particularly in industrial automation, healthcare, and smart home applications.
Derek Leben's book 'AI Fairness' offers a philosophical framework to evaluate and mitigate biases in AI algorithms. The author argues that principles like autonomy, equal treatment, and equal impact should guide the design of fair AI systems.
The ENABLE-6G project has developed 20 technological breakthroughs that prioritize network intelligence, energy efficiency, localization, and privacy-preserving analytics. The project has generated a range of outputs, including real-world testing platforms, wireless sensing algorithms, and AI-driven network optimization methods.
The application of AI in public health informatics offers potential to revolutionize data collection, disease surveillance, decision-making, and interventions. However, its implementation faces technical, ethical, and operational challenges related to health equity, privacy, security, and bias.
DeepSeek-R1 has been shown to enhance clinical workflows, supporting diagnostic reasoning, treatment planning, and risk assessment. The model has also demonstrated promise in patient engagement and medical education, improving patient adherence and creating interactive educational cases.
Researchers found that artificial intelligence tools can accurately predict disease for patients with typical symptoms but struggle with those exhibiting atypical symptoms. Human oversight is necessary for high-quality patient-centered care when using AI as an assistive tool.
A new study reveals that fine-tuned large language models (LLMs) greatly improve error detection in radiology reports, outperforming other NLP tools. The LLMs successfully identify various types of errors, including transcription and directional mistakes, providing a promising solution for medical proofreading.
The article highlights key pitfalls in evaluating AI algorithmic biases in radiology, such as the lack of representation in medical imaging datasets and inconsistent demographic definitions. To address these issues, radiologists recommend collecting and reporting more demographic variables and establishing standard notions of bias eval...
The National Heart Centre Singapore is launching a nationwide AI initiative to reduce hours of specialist analysis for cardiac scans from minutes, aiding early detection and prediction of coronary artery disease. The SENSE project will apply advanced machine learning technology to interpret cardiac imaging scans.
Researchers at KAIST have developed an AI-powered app called AACessTalk that enables meaningful communication between children with autism and their parents. The app uses personalized vocabulary cards and customized prompts to foster mutual engagement in dialogue.
Rice University will offer a Bachelor of Science in artificial intelligence beginning in the fall of 2025. The new major provides a cohesive program covering various approaches to AI and incorporates disciplines outside of engineering.
Neurosymbolic AI proposes an alternative model that requires less computing power, allowing smaller players to enter the field. This approach enables efficient and trustworthy AI systems without unsustainable energy use or gatekeeping.
A survey of 3,000 US residents found that Americans prefer domain experts over non-experts or algorithms for content moderation. Small juries of independent experts were viewed as the most legitimate, while large, diverse juries with minimal qualifications were also seen as acceptable.
A new study by the University of South Australia found that using AI alone in hiring decisions does not necessarily lead to more diverse and inclusive outcomes. The research highlights the importance of organizations having clear diversity guidelines, qualitative goals, and human oversight to support the use of AI tools effectively.
A deep learning model called Sybil can predict future lung cancer risk from a single low-dose chest CT scan. The model demonstrated good performance in predicting cancer diagnosis at both one and six years, including in never-smokers.
The AI system uses evolutionary computing to find optimal policy solutions that balance trade-offs between carbon storage, economic disruptions, and environmental benefits. It recommends nuanced approaches to land-use strategies, such as replacing crop land with forest, rather than simply converting all land into forests.
Training neural networks on simple cognitive tasks improves their ability to handle more complex ones. By adopting the principles of early childhood education, researchers found that recurrent neural networks can be trained faster and with better results.
A team of scientists simulated the movement of microorganisms in liquids without a central control system. They found that simple rules and decentralized control can lead to efficient swimming behavior, potentially enabling nanobots to transport drugs or perform other complex tasks.
Researchers at Duke University developed a novel framework called WildFusion that fuses vision, vibration and touch to enable robots to sense complex outdoor environments like humans do. The system was tested in real-world settings and showed remarkable ability to accurately predict traversability and improve robot decision-making.
A new wearable sensor has been shown to effectively monitor obstructive sleep apnea (OSA) treatment response, offering a bridge between consumer wearables and medical devices. The device provides continuous data collection and connects to an app for patients and healthcare providers to share information and make informed decisions.
A team of San Diego researchers is developing an innovative AI tutor system to provide personalized support to students. The system, based on large language models, will be deployed in eight foundational courses at higher education institutions in San Diego County and assessed for its impact on learning.
Researchers created over 3,800 anatomically accurate digital hearts to investigate how age, sex, and lifestyle affect heart disease. They found that age and obesity cause changes in the heart's electrical properties, which could explain why these factors are linked to a higher risk of heart disease.
Researchers at Virginia Tech have designed a new metallic material alloy with superior mechanical properties, leveraging data-driven frameworks and explainable AI. This breakthrough accelerates the discovery of advanced metallic alloys, offering insights into materials' structure-property relationships.
Researchers found that vision-language models fail to understand negation words like 'no' and 'not', which can cause incorrect diagnoses. This limitation affects multiple choice question answering with negated captions, with accuracy dropping below random chance.
New York University researchers developed a novel process using machine learning to reveal groups of genes governing nitrogen use efficiency in plants like corn. The study aims to help farmers improve crop yields and minimize fertilizer costs.
The new Jean Zay supercomputer in France has increased its AI dedicated resources fourfold to 125.9 petaflops, offering free access for thousands of research projects and start-ups. The upgraded machine is expected to accelerate French and European power in artificial intelligence.
Researchers propose Input-Driven Plasticity model, which integrates past and new information to guide memory retrieval. The model is robust to noise and uses it as a means to filter out less stable memories.
A study suggests that groups of artificial intelligence language models can self-organise into societies, reaching consensus on linguistic norms, and are prone to tipping points in social convention. Collective biases emerge between agents through interactions, a blind spot in most current AI safety work.
A new AI-driven tool can forecast acute child malnutrition in Kenya up to six months in advance with high accuracy, enabling timely interventions. The model integrates clinical data and satellite information to identify emerging risk areas, providing a game-changing solution to address public health emergency in the country.
A new special report warns of LLM cybersecurity threats in radiology, highlighting the importance of implementing security measures to prevent malicious use. The report recommends robust security measures and best practices for safe integration of LLMs into healthcare.
UCF students created an AI system, AIMS, to track surgical staples during robotic surgeries, reducing waste and improving sustainability. The technology was developed as part of the college's Senior Design capstone course and has been successfully tested in operating rooms at Orlando Health.