Artificial Intelligence
Articles tagged with Artificial Intelligence
A novel deep learning architecture for multi-source data fusion
Deciphering global perspectives on AI and educational leadership
Making ‘light’ work of computing
FAU’s CA-AI secures $2.2M U.S. Air Force grant for next-gen autonomous systems
Scientists come up with way to overcome AI ‘Data Cannibalism’
AI model predicts 10-year stroke risk based on routine cardiology test
Blind Ambition: AI agents can turn routine tasks into digital disasters
AI and supercomputer simulations reveal how a bacterial energy-converting enzyme pumps sodium ions, paving the way for new antibiotics
"Reading the invisible": POSTECH-led team develops AI framework accounting for hidden defects in metal 3D printing
New AI closes data gaps and shows how extreme weather emerges on Earth
Penn researchers create AI tool to speed antibiotic discovery
AI generates first complete models of proteins in motion
Many Americans pessimistic about AI’s impact – and want more regulation
Governments may shape what AI chatbots say by shaping the web they learn from, new Nature study finds
Insight | Eye Discovery: How AI + multimodal data is redefining the ophthalmic diagnostic paradigm
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.
Comparing AI anatomy segmentation models when ground truth is missing
Austrian trailblazer receives top award for women in computing
AI-assisted MRI workflow enables real-time spine positioning and analysis in multicenter study
Smart AI gives electric vehicle batteries 23 per cent longer life – without increasing the charging time
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.
DeepAFM: A deep learning method to decode protein motion
60% of U.S. teens have tried AI chatbots, 11.4% use them almost daily
Machines with the ability to ‘feel’ currently in development as we enter next frontier of AI
AI content moderation takes a lesson from economics #ASA190
AI models comb patient data to predict cardiac-arrest risk
AI’s eyes to help with component inspections
Design tweaks promote responsible AI use for environmental protection, research shows
UN Virtual Worlds Day calls for AI and emerging tech to support better city and community life
FAMU-FSU College of Engineering researchers develop AI tool to predict E. coli contamination in waterways
A roadmap for safer, explainable protein-design AI
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.
Reasoning like a human: New prompting strategy boosts AI accuracy in healthcare advice
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.
New AI tool developed by Stowers Institute and Helmholtz Munich scientists predicts how cells choose their future — helping uncover hidden drivers of development
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.
Greening works, but cities must plan it smarter
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.
Agentic AI systems may transform nutritional care in oncology
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.
Robots, AI to help shipbuilding stay on track
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.
Novel vision-language model to support diagnosis using computed tomography scans
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.
Frontiers in Science Deep Dive webinar series: AI-embodied surgical robots can revolutionize surgery—if regulatory questions addressed
Physician-reported safety outcomes of AI-generated hospital course summaries
AI-generated images of depression depict more stereotypes and arouse greater stigmatization
Advances in adsorption processes driven by machine learning
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,...
New book ‘AI TO EYE’ brings together 40+ voices from science, art, and media to ask: how do we really want to live with AI?
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.
AI-driven wearable patches help identify undetected hormone disruption in unexplained infertility
AI cuts wildlife tracking time from months to days
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...
AI-embodied surgical robots can revolutionize surgery—if regulatory questions addressed
Experts warn that AI-enhanced surgical robotics could enable true personalized surgery and enhance surgical team performance. However, regulatory reforms are needed to address risks from adaptive systems and ensure patient benefits.
Mind the detection gap: Why publishing needs a multilayered defense against industrial-scale papermills
Uncovering new ways to break down tight football defenses through AI
Asst Prof Gianmarco Mengaldo appointed to AI Advisory Group at World Meteorological Organization
AI language models struggle with basic hospital data tasks, study finds
Nearly 3,000 peer-reviewed medical papers have fake citations, a Columbia Nursing AI-assisted audit finds
New USF study tests whether AI can reliably predict immune responses
Researchers at USF Health developed a framework to test AI tools' accuracy in predicting immune responses, aiming to enhance cancer immunotherapies and vaccine development. The study highlights the strengths and weaknesses of current AI approaches, providing guidance for building safe and reliable AI tools for healthcare.
Aston University finds new way to train robots for real-world tasks using AI
Researchers at Aston University have created an AI-based training method that enables robots to adapt to real-world conditions without extensive data collection. This breakthrough could significantly accelerate innovation in sustainable manufacturing, recycling, and autonomous industrial systems.
SFU researchers get funding boost to forecast whale movements using AI
The HALLO project uses real-time acoustic and visual data, vessel tracking, and citizen-scientist reports to track and forecast Southern Resident killer whales' movements. The AI-powered system aims to support faster detection and more reliable classification of whales in shipping lanes.
Method for stress-testing cloud computing algorithms helps avoid network failures
Researchers from MIT have developed a more user-friendly and efficient method to identify potential system failures in cloud computing algorithms. The 'MetaEase' technique analyzes an algorithm's source code directly to uncover hidden blind spots that might cause unexpected failures, reducing the risk of costly network outages.
HKU IDS research in complex networks predictability: international collaborative study with Nobel Laureate in Physics
A toy model to understand how AI learns
Researchers have developed a simplified mathematical model of learning in neural networks, shedding new light on how these systems produce their responses. The toy model, inspired by physics principles, captures key features of complex systems and offers insights into the surprising efficiency and stability of modern AI systems.
AI model analyses body composition to predict health risks
A study published in Radiology used AI to analyze whole-body MRI scans from over 66,000 participants, revealing that skeletal muscle quality is a strong predictor of diabetes, major cardiovascular events, and mortality. The researchers also found that high visceral fat and low skeletal muscle were associated with increased risks of the...
How Big Tech’s new health AI assistants are redefining care
The rise of consumer-facing health AI assistants is transforming healthcare access, offering users personalized medical workspaces and real-time lab result interpretation. However, concerns around data privacy and the risk of misdiagnosis highlight the need for caution in this rapidly evolving landscape.
Why people cooperate with fair AI — but not with “nice” AI
A study of 1,152 people found that humans cooperate more with fair AI than with AI that is helpful or selfish. Fairness was the key to cooperation, not unconditional niceness. The researchers suggest that humans respond best to AI that can navigate social rules and expectations in a believable way.
AI speeds chemists' search for better disinfectants
Researchers used AI to design new molecules for disinfectants, leveraging a dataset of hundreds of existing quaternary ammonium compounds. The approach yielded 11 promising compounds with activity against antimicrobial-resistant bacteria, offering a potential solution to the growing threat of 'superbugs'.
Qualcomm co-founder Andrew Viterbi gives $5 million to Sanford Burnham Prebys Medical Discovery Institute to advance AI-powered research
Sanford Burnham Prebys receives a $5 million gift from Andrew Viterbi to advance its Center for Data Science and Artificial Intelligence. The center is exploring raw or untapped data to uncover patterns and insights that can inform scientists and clinicians.