MAOMAO brings order to the messy world of peptide toxicity data
A new ontology-guided FAIR resource called MAOMAO harmonizes peptide toxicity annotations from 56 sources into a unified, evidence-aware dataset spanning ...
Tag: Machine Learning
NJIT Researcher Wins DOE Early Career Award to Decode Why Metals Fail at Their Weakest Points
NJIT assistant professor Nutth Tuchinda has won a 2026 DOE Early Career Research Program award to study how entropy governs ...
AI Reads the Literature to Learn What Genes Do
A new transformer model called LitGene learns gene function by reading the scientific literature and aligning it with Gene Ontology ...
How Machines Spot Real Events in the Social Media Noise
The publication of a comprehensive, domain-agnostic survey on event detection in online social networks arrives at a moment when the ...
Algorithmic advances in smart TV content recommendation: a structured evidence-mapping review
Recommendation systems have become an invisible layer of modern life, quietly shaping what billions of people watch on their living ...
Mind Over Ankle: fNIRS Brain Signals Drive Exo-Ankle Control in Proof-of-Concept Study
Researchers have shown that fNIRS brain imaging can decode ankle movements in healthy adults and impaired patients, paving the way ...
Safety-first AI ensemble catches every flood signal in Sri Lanka river trial
A solar-powered IoT node and a recall-optimized LSTM–XGBoost ensemble achieved 100% positive-class recall on a Sri Lankan river's single test ...
Task-evoked brain signals dominate machine learning classification of adolescent borderline personality disorder
A leakage-controlled multimodal machine learning study of 251 adolescents shows task-evoked fMRI features during emotional response inhibition provide the strongest ...
AI Reads Tumor Slides to Predict Melanoma Gene Mutations, Offering Faster Targeted Therapy Triage
A new study shows that AI models trained on routine pathology slides can predict BRAF mutation status in melanoma patients ...
Robots Learn to Grab Any Fruit With 99 Percent Accuracy in Cluttered Scenes
Researchers developed lightweight neural networks and a new RGB-D dataset that let robots detect accurate grasps for fruits of varying ...
Oxford team revives simple math to outsmart deep learning in market forecasting
A new Oxford study introduces OFTER, an online forecasting pipeline that combines ARIMA models, PCA-based dimensionality reduction, k-nearest neighbors and ...
GenPerturb turns Perturb-seq data into sequence-grounded maps of gene regulation
Perturb-seq has become one of the most information-dense formats in functional genomics, combining single-cell RNA sequencing with pooled genetic or ...
Mining decades of wine research, scientists teach AI to taste terroir
A new literature-derived database harmonises aroma data from 103 studies to identify 31 candidate varietal markers, offering a reusable framework ...
Old drugs, new weapons: repurposing therapies against antimicrobial resistance
A comprehensive review maps how approved drugs—from anticancer agents to antidepressants—can be systematically repurposed to combat drug-resistant superbugs.
Opening the Black Box: How Explainable AI Could Transform Schizophrenia Care
A sweeping systematic review maps how explainable artificial intelligence is being applied to schizophrenia diagnosis, prognosis, and monitoring, and outlines ...
Tiny AI Chip Upgrade Slashes X-ray Imaging Bottleneck at World’s Most Powerful Lasers
Researchers at SLAC National Accelerator Laboratory have compressed a neural network by 98.8% and deployed it on an FPGA chip, ...
AI-Driven Adaptive Learning System Predicts Student Engagement and Achievement in STEM Education
Researchers have developed and validated an AI-driven adaptive learning system that predicts student engagement, forecasts academic achievement, and generates explainable ...
AI Learns to Judge Every Soccer Pass by Reading the Whole Pitch
Researchers at the University of Ottawa have developed a dual-agent reinforcement learning framework that values soccer actions by modeling both ...
AI and machine learning are rewriting the rules of electric vehicle battery management
A comprehensive review of 120 studies finds that hybrid AI and machine learning architectures are transforming electric vehicle battery management, ...
Machine Learning Reveals Genetic Divide Between Chinese Kirghiz and Kyrgyzstan Sheep
A new genomic study combining population genetics and machine learning reveals that Chinese Kirghiz sheep are genetically differentiated from neighboring ...
