Articles tagged with Artificial Intelligence
A systematic review of AI models for meningioma segmentation reveals that better model architecture is the key driver of improved performance. The top models achieved high accuracy and efficiency, while future research focuses on making them more generalizable and efficient for real-world clinical settings.
Researchers have developed a framework called CHEEM that allows AI models to learn new tasks without losing performance on existing tasks. The framework improves adaptive intelligence by tailoring computational structure depending on task complexity.
A Harvard-led study developed BRIDGE, a simulation technology that reinterprets traditional non-disabled basketball footage into realistic wheelchair basketball video representations. The system significantly improved how natural player postures appeared and made tactical intentions easier to understand.
A recent study analyzing 18,000 articles on Grokipedia found that the AI-written encyclopedia systematically favors left-leaning news sources, while diverging in style and structure. The researchers argue that AI-generated systems like Grokipedia change how bias enters the system, often making it less visible.
Researchers create dataset for Meenzerisch dialect, but find large language models fail to understand and produce the dialect correctly. Accuracy rates as low as 4.24% and 0.56% are reported, highlighting need for linguistic diversity in digital applications.
Dr. Sandra Orsulic has received two federal awards totaling nearly $2 million to advance research aimed at improving outcomes for women with ovarian cancer. Her team will examine the body's inflammatory response after surgery and develop AI-powered tools to guide personalized treatment.
A new study from UC San Diego suggests that advanced large language models (LLMs) can exhibit human-like tone, humor, and fallibility in conversations, making it increasingly difficult for humans to distinguish between them and actual humans. This has major implications for how we think of AI, as the Turing test is no longer just about...
A new global consensus delivers guidelines for using tools like ChatGPT responsibly, protecting against fake references, data leaks, and machines masquerading as authors. The goal is to allow AI to assist with tasks like polishing English without compromising research integrity.
A new AI-powered cardiopulmonary resuscitation instructor has been developed to support bystanders during out-of-hospital cardiac arrests. The study suggests that this technology could be a scalable public health intervention to save lives.
TEGNet accelerates optimization in thermoelectric generator design by predicting performance with high accuracy and speed. The AI model enables designers to freely combine independent models for various materials, enabling complex structure exploration and high conversion efficiencies.
New research from North Carolina State University predicts data center power demand will increase by up to 57% by 2030, leading to higher electricity costs and CO2 emissions. The study finds that regional price increases will vary depending on where new data centers are built.
Researchers at Northwestern University and NIH emphasize the need to define plagiarism in AI-assisted research writing, as intellectual theft can occur without proper credit. The commentary recommends revising definitions of research misconduct to include GenAI tool misuse, promoting more responsible use.
A new study shows that an AI-powered CPR coaching agent can significantly improve survival rates by providing more accurate and comprehensive instructions. ChatCPR scored 100% on guideline-based CPR checklists and outperformed human dispatchers in guiding bystander resuscitation, with a 36-point gap in advanced steps.
A University of East London academic has published a book exploring how businesses can use AI, blockchain, and data analytics to become more adaptable and innovative. The publication argues that digital transformation is about people, strategy, and responsible leadership, not just technology.
Researchers identified 27 established patterns of corporate capture, including narrative capture and elusion of law, in news stories around global AI events. Big AI companies use tactics like deregulation and revolving doors to undermine regulation and enforcement.
Sociologist Mona Sloane argues AI's prediction paradigm reorganizes social relations and relationships. Her book 'Predicted: How AI Is Restructuring Social Life' advocates collective governance of AI as a form of infrastructure.
An AI technology successfully plans life-saving radiotherapy for cervical and prostate cancers, bridging the workforce gap and enabling more people to be treated. The ARCHERY trial found that the AI technology can achieve international best-practice radiotherapy planning in over 95% of cervical cancer cases.
The article discusses how AI is unlocking hidden potential in multimodal ophthalmic datasets, enabling high-precision screening and early detection of eye diseases. It highlights the integration of various imaging modalities and non-imaging data types to provide a comprehensive diagnostic framework.
Researchers at Chalmers University of Technology developed an AI method that adapts fast charging to the health of the battery, increasing its lifespan by almost 23%. The new strategy uses reinforcement learning and takes into account the battery's chemistry and state of health.
Protein language models have immense potential but lack explainability, leading to concerns over reliability and safety. Researchers propose four key places to understand a model's decision-making process and outline the need for more transparent and trustworthy AI in biotechnology.
A new study by Technische Universität Berlin reveals that teaching Large Language Models to mimic human intuition and reasoning improves their ability to provide accurate medical care-seeking advice. The 'human reasoning blueprint' approach increased overall accuracy across all models, with significant gains in self-care advice.
Researchers developed RegVelo, an AI framework that models cellular dynamics and gene regulation to predict cellular fate decisions. The model traces developmental trajectories and simulates regulatory interactions, providing insights into hidden drivers of development and potential therapeutic targets.
A recent study analyzed 138 Indian cities using satellite data and explainable AI methods to show why urban greening needs to be tailored to humidity, canopy structure, and airflow. The findings highlight the importance of considering moisture management and ventilation in urban planning to effectively mitigate heat-related stress.
A new editorial proposes the use of agentic AI systems to address cancer-related malnutrition, a prevalent issue affecting up to 80% of patients. These systems aim to coordinate multiple functions simultaneously and support ongoing clinical decision-making throughout treatment.
Researchers are developing a system that uses AI and robotics to track what's installed inside the growing ship and compare it to a digital twin of the intended structure. The system will create reports of mismatches that workers can use to make adjustments, potentially reducing delays in delivery.
Researchers developed a novel diagnostic support framework using visual question answering to generate interpretable findings from chest CT images. The system demonstrated strong agreement with reference descriptions and provided clinically meaningful outputs.
This review highlights the integration of machine learning with adsorption science and engineering, achieving high precision and interpretability in adsorption processes. The reviewed studies demonstrate that machine learning enables accurate prediction of adsorption performance, accelerates material discovery and process optimization,...
The book captures the AI moment through a chorus of perspectives from science, business, art, journalism, and media, challenging and complementing each other to reveal tensions and contradictions. It paints a vivid picture of how AI is reshaping our self-understanding and what it discloses about us.
Researchers at Washington State University and Google developed an AI system that can process hundreds of thousands to millions of camera trap images in just a few days, reducing analysis time from months to days. The results aligned with human experts' models in roughly 85-90% of cases, making it a significant breakthrough for conserv...