Agentic AI could soon run microalgae farms, but no one has built it yet
A mini-review proposes a multi-agent AI framework that would fuse sensor streams, machine-learning tools and genome-scale metabolic models to autonomously ...
Tag: Machine Learning
One sleepless night leaves a machine-readable fingerprint in a runner’s gait
A single night of total sleep deprivation left a machine-detectable fingerprint in runners' gait that a trunk-mounted wearable sensor identified ...
AI as Central Hub to Decode Climate Effects on Crop Quality
A new review proposes an AI-centred framework that integrates data-driven methods, process-based crop models, and manipulation experiments to understand how ...
AI reads everyday health questionnaires to flag Parkinson’s disease
A language-model-based AI called Quest2Dx screens for Parkinson's disease using self-reported health questionnaires, achieving AUROCs up to 0.977 and transferring ...
Architects and machines are becoming creative partners, not rivals
A new editorial in Architectural Intelligence argues that architecture is shifting from technology as a passive tool to a symbiotic ...
Ordered platinum intermetallics push fuel cell catalysts from binary alloys to high-entropy designs
A new review traces how long-range ordered platinum intermetallics, from binary PtCo to five-element high-entropy systems, deliver higher activity and ...
AI drug discovery tools dominated early-stage pharma research after COVID-19, review finds
A systematic review of 57 studies finds that AI-enabled Pharma 4.0 tools after COVID-19 concentrated on early-stage drug discovery metrics, ...
Two-Stage Text Augmentation and Dual-Expert AI Model Reaches 98.5% Accuracy on Imbalanced Twitter Sentiment Data
A dual-expert framework combining paraphrase-based augmentation and aspect tokenization reached 98.5% accuracy on the imbalanced Twitter US-Airline Sentiment dataset, outperforming ...
Filler type barely moves the needle on ultra-high-performance concrete strength, database study finds
A database analysis of 2073 UHPC mixtures from 165 publications finds that filler type and dosage have only small associations ...
MRI Tract Patterns Sort ALS Patients into Three Subtypes Linked to Disease Severity
A diffusion MRI analysis grouped 73 ALS patients into three white matter subtypes whose imaging-derived disease stages correlated with clinical ...
CT radiomics model predicts which ureteral stones will pass without surgery
A machine learning model combining CT radiomics with clinical variables predicted spontaneous ureteral stone passage within four weeks with an ...
Explainable AI framework maps every step of the machine learning workflow
Researchers propose a Holistic Explainable AI framework that embeds explanation into every stage of the data-analysis workflow and maps its ...
New Python package opens the recount3 RNA-seq data trove to machine learning workflows
A new Python package provides programmatic access to tens of thousands of uniformly processed RNA-seq samples from human and mouse ...
AI Reads the Classics: Machine Learning Extracts Themes from Political Theory
A new commentary shows that Latent Dirichlet Allocation, a natural language processing technique, can extract major themes from classical political ...
Neural network predicts structural damage signals where sensors cannot reach
An artificial neural network trained on finite element simulations can synthesize experimental acoustic emission damage signals for locations on a ...
AI Reads Routine Thyroid Slides to Predict BRAF Mutation Before Surgery
An interpretable pathomics framework predicted BRAF V600E status in papillary thyroid carcinoma from routine Wright-stained cytology slides, reaching an AUC ...
Graph Neural Network Predicts Job Wait Times Across Huge Computing Grids
A graph neural network trained on about 2.1 million PanDA job records predicts job turnaround time with an R-squared of ...
Waste Eggshells and Cotton Stalks Turned Into Antibiotic-Capturing Biochar
Researchers combined waste cotton stalks and eggshells into a microwave-grafted, calcium-rich biochar that removes tetracycline from water with a maximum ...
Perioperative AI needs to put humans first, anesthesiologists argue
Anesthesiology researchers argue that AI in perioperative care must be human-centered, warning that most models lack prospective validation and real-world ...
CT Radiomics Model Predicts Outcomes After Bleeding Stroke Across Four Hospitals
A multicenter study combined CT-derived radiomic features with clinical data in an XGBoost model that predicted outcomes after aneurysmal subarachnoid ...
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