New Toolkit Puts Simulated Neural Circuits to the Test
The central premise behind the Computation-through-Dynamics Toolkit rests on a conceptual shift that has been gaining momentum in systems neuroscience ...
Tag: Machine Learning
Small Language Models Turn Web Search Into Features for Tabular Data Classification
Researchers in Türkiye used small language models and retrieval-augmented web search to generate new features for tabular data classification, reaching ...
Same-Condition Audit Reveals CPU-Only Machine-Learning Efficiency Numbers Are Far Less Stable Than They Look
The distinction between computational determinism and temporal stability deserves closer examination, because it explains why the audit's findings should not ...
AI Learns to Predict the Moment of No Return in Climate and Flight Systems
A Caltech-led team has shown that a recurrent neural operator can forecast irreversible tipping points in climate and aerodynamic models ...
High-energy additive manufacturing pushes advanced materials into a new era
A new Frontiers in Materials research collection reveals how machine learning, melt pool physics, auxetic metamaterials, and nanometer-scale polishing are ...
PET/CT Radiomics Before Treatment Best Predicts Esophageal Cancer Therapy Response, Meta-Analysis Finds
A new systematic review and meta-analysis finds that pre-treatment PET/CT radiomics outperforms post-treatment imaging for predicting pathological complete response in ...
AI Drug Discovery Gets a Virology Check: Why Respiratory Virus Polymerases Break the Benchmarks
A new review argues that AI-driven antiviral discovery must be benchmarked against respiratory RNA virus polymerases under virologically realistic conditions ...
Digital Twin Generates 70,000 Fault Scenarios to Train Smarter Aircraft Health Monitoring
Researchers at Cranfield University built a digital twin of aircraft electromechanical actuators that generated 70,000 labelled fault simulations to train ...
Machine Learning Biomarker BioWaitIndex Predicts Liver Transplant Waitlist Outcomes Beyond MELD
A machine learning-derived composite biomarker built from twelve routine clinical measurements predicted waitlist mortality and transplantation in liver transplant candidates ...
Smart Inhalable Biomaterials and AI Could Finally Fix Inhaled Drug Delivery for Asthma and COPD
A new review proposes an intelligence-enabled framework that unites smart inhalable biomaterials, machine-learning-driven formulation design, lung-on-chip validation, and patient-specific pulmonary ...
Turning Plastic Waste Into Diesel: AI Finds the Sweet Spot for HDPE Pyrolysis Oil in Engines
Researchers converted HDPE plastic waste into pyrolysis oil, blended it with diesel, and used machine learning with a genetic algorithm ...
AI That Watches Bridges Breathe: Attention-Enhanced Neural Network Spots Hidden Structural Damage
Researchers have developed an attention-enhanced residual network that converts structural vibration data into Markov transition field images and detects local ...
How AI and Machine Learning Are Rewiring the Search for New Drugs
Machine learning is accelerating target identification, toxicity prediction and drug repurposing, but researchers insist algorithmic discoveries still demand rigorous experimental ...
AI Model Flags Infant Hip Dysplasia Before Ultrasound Using Simple Clinical Signs
A machine learning model trained on more than 12,000 infant screenings uses twelve clinical and demographic variables to identify which ...
AI and Multi-Omics Converge to Decode the Hidden Language of the Human Microbiome
A landmark review reveals how artificial intelligence and integrative multi-omics are transforming host-microbiome research, converting complex molecular data into predictive ...
ChatGPT and Gemini Face a Histology Test: How Well Can AI Chatbots Spot Basal Cell Carcinoma Under the Microscope?
A UCLA research team tested whether ChatGPT and Gemini could correctly identify basal cell carcinoma from histologic images, revealing both ...
Machine Learning Models Flag Which Preterm Babies Will Need ROP Treatment
A two-step machine learning framework trained on more than 23,000 clinical records from Indian newborn units identified 84.9 percent of ...
Blood Test for Stomach Cancer: cfDNA Methylation Markers Reach 94% Sensitivity
A machine learning model reading plasma cell-free DNA methylation distinguishes gastric cancer patients from healthy controls with high accuracy, offering ...
Wearable Sensors and AI Are Rewriting How Parkinson’s Disease Is Measured, Landmark Study Finds
A bibliometric analysis of 3,332 publications shows wearable sensor research in Parkinson's disease has grown exponentially since 2019, shifting from ...
Attention-Powered AI Reads Brain Waves to Spot Seizures With 98.8% Accuracy
A hybrid CNN-BiLSTM model with multi-head self-attention classifies five EEG brain states, including seizures, with 98.83 percent accuracy on a ...
