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Category: Machine Learning

  • Quantum Architecture Shrinks Computing Needs to under 100 000 Qubits
    Machine Learning

    Machine Learning Now Personalises Treatment Effects from Complex, Continuous Data

    by Rohail T.February 14, 2026
  • Machine Learning Gains Power from New Database of 13,000 Material Bonds
    Machine Learning

    Machine Learning Gains Power from New Database of 13,000 Material Bonds

    by Rohail T.February 13, 2026
  • Machine Learning Spots 94% of Android Malware Using Device Behaviour Patterns
    Quantum Algorithms, Machine Learning

    Machine Learning Spots 94% of Android Malware Using Device Behaviour Patterns

    by Rohail T.February 13, 2026
  • AI Safety Boosted As New System Spots Unusual Data with 1% Error
    Machine Learning

    AI Safety Boosted As New System Spots Unusual Data with 1% Error

    by Rohail T.February 12, 2026
  • AI Tackles Electricity Price Prediction for Stable Power Markets
    Machine Learning

    AI Tackles Electricity Price Prediction for Stable Power Markets

    by Rohail T.February 11, 2026
  • AI Learns to Explore Environments More Effectively by Predicting Positive Outcomes
    Machine Learning

    AI Learns to Explore Environments More Effectively by Predicting Positive Outcomes

    by Rohail T.February 11, 2026
  • Drone Networks Gain Stability for Reliable Rescue Operations after Disasters
    Machine Learning

    Drone Networks Gain Stability for Reliable Rescue Operations after Disasters

    by Rohail T.February 11, 2026
  • Drone Base Stations Now Deploy Instantly, Without Lengthy Training Periods
    Machine Learning

    Drone Base Stations Now Deploy Instantly, Without Lengthy Training Periods

    by Rohail T.February 11, 2026
  • AI Can Now Assess Surgical Skills Using a 1270-Video Training Dataset
    Machine Learning

    AI Can Now Assess Surgical Skills Using a 1270-Video Training Dataset

    by Rohail T.February 11, 2026
  • AI Spots Credit Card Fraud with 98.3 Per Cent Accuracy
    Machine Learning

    AI Spots Credit Card Fraud with 98.3 Per Cent Accuracy

    by Rohail T.February 10, 2026
  • New Physics Simulations Run Faster on Graphics Cards Thanks to MadSpace
    Machine Learning

    New Physics Simulations Run Faster on Graphics Cards Thanks to MadSpace

    by Rohail T.February 9, 2026
  • Data’s Hidden Shapes Revealed with New Geometry-Based Analysis Technique
    Machine Learning

    Data’s Hidden Shapes Revealed with New Geometry-Based Analysis Technique

    by Rohail T.February 6, 2026
  • Algorithm Bypasses ‘stuck’ Points to Swiftly Solve Complex Data Puzzles
    Machine Learning

    Algorithm Bypasses ‘stuck’ Points to Swiftly Solve Complex Data Puzzles

    by Rohail T.February 6, 2026
  • Three-Tier Cloud System Balances Speed and Power for AI at the Edge
    Machine Learning

    Three-Tier Cloud System Balances Speed and Power for AI at the Edge

    by Rohail T.February 5, 2026
  • AI Learns to Recommend Medicines Even for Patients with No Prescription History
    Machine Learning

    AI Learns to Recommend Medicines Even for Patients with No Prescription History

    by Rohail T.February 5, 2026
  • Graph Simplification Technique Maintains Crucial Data Links with Unprecedented Speed
    Machine Learning

    Graph Simplification Technique Maintains Crucial Data Links with Unprecedented Speed

    by Rohail T.February 5, 2026
  • AI Learns to Run Algorithms Perfectly from Minimal Data, Study Confirms
    Machine Learning

    AI Learns to Run Algorithms Perfectly from Minimal Data, Study Confirms

    by Rohail T.February 4, 2026
  • Nativetok Reveals 2-Stage Pipeline Benefits Via Causal Token Dependencies
    Machine Learning

    Nativetok Reveals 2-Stage Pipeline Benefits Via Causal Token Dependencies

    by Rohail T.February 4, 2026
  • Reveals Universal Adversarial Perturbations for MLLMs with Transferable Attacks across Inputs
    Machine Learning

    Reveals Universal Adversarial Perturbations for MLLMs with Transferable Attacks across Inputs

    by Rohail T.February 4, 2026
  • Implicit Function Theorem Reveals Data Encoding in Neural Networks with Weights
    Machine Learning

    Implicit Function Theorem Reveals Data Encoding in Neural Networks with Weights

    by Rohail T.February 4, 2026
  • Gemma 2 Models Reveal Dichotomy in Representational Straightening Within Context
    Machine Learning

    Gemma 2 Models Reveal Dichotomy in Representational Straightening Within Context

    by Rohail T.February 4, 2026
  • Shows 14% Gains with MIFOMO for Cross-Domain HSI Classification
    Machine Learning

    Shows 14% Gains with MIFOMO for Cross-Domain HSI Classification

    by Rohail T.February 4, 2026
  • Shows Peft-Muts Improves Remaining Useful Life Prediction with Cross-Domain Time Series Data
    Machine Learning

    Shows Peft-Muts Improves Remaining Useful Life Prediction with Cross-Domain Time Series Data

    by Rohail T.February 4, 2026
  • Shows 94.3% Accuracy: CSAE Boosts Movement Classification from sEMG Signals
    Machine Learning

    Shows 94.3% Accuracy: CSAE Boosts Movement Classification from sEMG Signals

    by Rohail T.February 4, 2026
  • Explainerpfn Shows Zero-Shot Feature Importance Estimations Using Tabular Foundation Models
    Machine Learning

    Explainerpfn Shows Zero-Shot Feature Importance Estimations Using Tabular Foundation

    by Rohail T.February 4, 2026
  • Deep Reinforcement Learning Achieves 9.5% Improvement for Electric Dial-A-Ride Problems
    Machine Learning

    Deep Reinforcement Learning Achieves 9.5% Improvement for Electric Dial-A-Ride Problems

    by Rohail T.February 3, 2026
  • Pathology Foundation Models Encode Disease Progression Using Diffusion Pseudotime Analysis
    Machine Learning

    Pathology Foundation Models Encode Disease Progression Using Diffusion Pseudotime Analysis

    by Rohail T.February 3, 2026
  • Pre-Trained Encoders Achieve 0.65 AUC for Child Development with Limited Data
    Machine Learning

    Pre-Trained Encoders Achieve 0.65 AUC for Child Development with Limited Data

    by Rohail T.February 3, 2026
  • Multimodal Fine-Tuning Achieves Enhanced Visual Understanding with Synthetic Captions
    Machine Learning

    Multimodal Fine-Tuning Achieves Enhanced Visual Understanding with Synthetic Captions

    by Rohail T.February 3, 2026
  • Glacier Calving Front Delineation Achieves 68.7m Error Reduction with Domain Adaptation
    Machine Learning

    Glacier Calving Front Delineation Achieves 68.7m Error Reduction with Domain Adaptation

    by Rohail T.February 3, 2026
  • Graph Neural Networks Achieve Key-Invariant Expression with Unique Node Identifiers
    Machine Learning

    Graph Neural Networks Achieve Key-Invariant Expression with Unique Node Identifiers

    by Rohail T.February 2, 2026
  • Tgsbm Advances Link Prediction on Networks with Hundreds of Thousands of Nodes
    Machine Learning

    Tgsbm Advances Link Prediction on Networks with Hundreds of Thousands of Nodes

    by Rohail T.February 2, 2026
  • Baypranometa Achieves Robust Few-Shot Anomaly Detection with Normal-Inverse-Wishart Priors
    Machine Learning

    Baypranometa Achieves Robust Few-Shot Anomaly Detection with Normal-Inverse-Wishart Priors

    by Rohail T.February 2, 2026
  • D Pinching Antenna Array Achieves Higher Rates in ISAC Systems
    Machine Learning

    D Pinching Antenna Array Achieves Higher Rates in ISAC Systems

    by Rohail T.February 2, 2026
  • Graphallocbench Enables Flexible Multi-Objective Policy Learning with Diverse Preference Conditions
    Machine Learning

    Graphallocbench Enables Flexible Multi-Objective Policy Learning with Diverse Preference Conditions

    by Rohail T.February 2, 2026
  • Duality-Guided Graph Learning Achieves Real-Time Routing for LEO Mega-Constellations
    Machine Learning

    Duality-Guided Graph Learning Achieves Real-Time Routing for LEO Mega-Constellations

    by Rohail T.February 2, 2026
  • Igetr Achieves 5.6% Improvement in Temporal Knowledge Graph Reasoning Accuracy
    Machine Learning

    Igetr Achieves 5.6% Improvement in Temporal Knowledge Graph Reasoning Accuracy

    by Rohail T.February 2, 2026
  • Meidnet Achieves 0.96 Latent-Space Alignment for Faster Materials Discovery
    Machine Learning

    Meidnet Achieves 0.96 Latent-Space Alignment for Faster Materials Discovery

    by Rohail T.February 2, 2026
  • Plug-And-Play mMIMO Precoding Achieves Generalization across Sites and Power Levels
    Machine Learning

    Plug-And-Play mMIMO Precoding Achieves Generalization across Sites and Power Levels

    by Rohail T.February 2, 2026
  • Constrained Meta Reinforcement Learning Achieves Provable Safety and Reduced Sample Complexity
    Machine Learning

    Constrained Meta Reinforcement Learning Achieves Provable Safety and Reduced Sample Complexity

    by Rohail T.January 31, 2026
  • LLM-Driven Reward Discovery Advances MetaBBO Performance with Iterative Program Search
    Machine Learning

    LLM-Driven Reward Discovery Advances MetaBBO Performance with Iterative Program Search

    by Rohail T.January 31, 2026
  • Cognitively Aligned Post-Training Achieves 70% Gains in LLM Reasoning Reliability
    Machine Learning

    Cognitively Aligned Post-Training Achieves 70% Gains in LLM Reasoning Reliability

    by Rohail T.January 31, 2026
  • Smog Achieves Scalable Multi-Objective Bayesian Optimization with Limited Measurement Budgets
    Machine Learning

    Smog Achieves Scalable Multi-Objective Bayesian Optimization with Limited Measurement Budgets

    by Rohail T.January 31, 2026
  • Graphsb Achieves 4.57% Performance Boost in Imbalanced Node Classification
    Machine Learning

    Graphsb Achieves 4.57% Performance Boost in Imbalanced Node Classification

    by Rohail T.January 30, 2026
  • Gnn-Enhanced MARL Achieves Aoi-Aware Queue Management for V2V Networks
    Machine Learning

    Gnn-Enhanced MARL Achieves Aoi-Aware Queue Management for V2V Networks

    by Rohail T.January 30, 2026
  • Fixed Aggregation Features Rival GNNs on 12 Benchmarks, Achieving State-Of-The-Art Results
    Machine Learning

    Fixed Aggregation Features Rival GNNs on 12 Benchmarks, Achieving State-Of-The-Art Results

    by Rohail T.January 30, 2026
  • Grasynda Achieves Improved Time Series Forecasting with Synthetic Data Augmentation
    Machine Learning

    Grasynda Achieves Improved Time Series Forecasting with Synthetic Data Augmentation

    by Rohail T.January 30, 2026
  • Os-Marathon Achieves Robust Agent Benchmarking across 242 Long-Horizon Repetitive Tasks
    Machine Learning

    Os-Marathon Achieves Robust Agent Benchmarking across 242 Long-Horizon Repetitive Tasks

    by Rohail T.January 30, 2026
  • Novel View Synthesis Achieves Superior Results with Weighted Input Views
    Machine Learning

    Novel View Synthesis Achieves Superior Results with Weighted Input Views

    by Rohail T.January 29, 2026
  • Sicl-At Advances Auditory LLM Performance on Low-Resource Tasks with ICL
    Machine Learning

    Sicl-At Advances Auditory LLM Performance on Low-Resource Tasks with ICL

    by Rohail T.January 29, 2026
  • Pcevo Achieves Robust Molecular Predictions with Limited Data and Virtual Evolution
    Machine Learning

    Pcevo Achieves Robust Molecular Predictions with Limited Data and Virtual Evolution

    by Rohail T.January 29, 2026
  • Unsupervised Learning Achieves Efficient Exploration Via Self-Imposed Goals for Zero-Shot Tasks
    Machine Learning

    Unsupervised Learning Achieves Efficient Exploration Via Self-Imposed Goals for Zero-Shot Tasks

    by Rohail T.January 29, 2026
  • Vtfusion Achieves 96.8% Accuracy in Few-Shot Anomaly Detection with Vision-Text Fusion
    Machine Learning

    Vtfusion Achieves 96.8% Accuracy in Few-Shot Anomaly Detection with Vision-Text Fusion

    by Rohail T.January 28, 2026
  • Encoder Design Advances LLM Performance on Irregular ICU Time Series Data
    Machine Learning

    Encoder Design Advances LLM Performance on Irregular ICU Time Series Data

    by Rohail T.January 28, 2026
  • Devprompt Achieves One-Normal Shot Image Anomaly Detection with Deviation Guidance
    Machine Learning

    Devprompt Achieves One-Normal Shot Image Anomaly Detection with Deviation Guidance

    by Rohail T.January 28, 2026
  • Gesture Recognition Achieves 98.13% Accuracy Using Body-Worn RFID and AI
    Machine Learning

    Gesture Recognition Achieves 98.13% Accuracy Using Body-Worn RFID and AI

    by Rohail T.January 28, 2026
  • Advances Historical Painting Analysis with Precise Multi-Modal Image Registration
    Machine Learning

    Advances Historical Painting Analysis with Precise Multi-Modal Image Registration

    by Rohail T.January 28, 2026
  • Neural Network Data Flow Achieves Robustness Analysis Using Ollivier-Ricci Curvature
    Machine Learning

    Neural Network Data Flow Achieves Robustness Analysis Using Ollivier-Ricci Curvature

    by Rohail T.January 28, 2026
  • Boostfgl Achieves Fairness in Federated Graph Learning, Addressing 3 Key Disparities
    Machine Learning

    Boostfgl Achieves Fairness in Federated Graph Learning, Addressing 3 Key Disparities

    by Rohail T.January 28, 2026
  • Gameplay Glitches Advance Physical Understanding in AI by 3.7%
    Machine Learning

    Gameplay Glitches Advance Physical Understanding in AI by 3.7%

    by Rohail T.January 28, 2026
  • Attentive Neural Processes Achieve Calibrated Biomass Mapping from GEDI LIDAR Data
    Machine Learning

    Attentive Neural Processes Achieve Calibrated Biomass Mapping from GEDI LIDAR Data

    by Rohail T.January 28, 2026
  • Multi-Targeted Attack Achieves High Success Rates on Graph Neural Networks
    Machine Learning

    Multi-Targeted Attack Achieves High Success Rates on Graph Neural Networks

    by Rohail T.January 27, 2026
  • Three Methods Advance Defect Segmentation with Limited Data for Culverts
    Machine Learning

    Three Methods Advance Defect Segmentation with Limited Data for Culverts

    by Rohail T.January 27, 2026
  • Cefgc Achieves 3-Round Federated Graph Classification with Generative Diffusion Models
    Machine Learning

    Cefgc Achieves 3-Round Federated Graph Classification with Generative Diffusion Models

    by Rohail T.January 27, 2026
  • Predicting Healthcare Flows: Four-Year Mobility Data Improves Hospital Visitation Analysis
    Machine Learning

    Predicting Healthcare Flows: Four-Year Mobility Data Improves Hospital Visitation Analysis

    by Rohail T.January 27, 2026
  • Hypergraphs Achieve Efficient SNN Mapping for Neuromorphic Hardware with Billions of Neurons
    Machine Learning

    Hypergraphs Achieve Efficient SNN Mapping for Neuromorphic Hardware with Billions of Neurons

    by Rohail T.January 27, 2026
  • Deepseek-R1-Distill-Llama-70b Achieves 12-Dataset Benchmark for Causal Discovery
    Machine Learning

    Deepseek-R1-Distill-Llama-70b Achieves 12-Dataset Benchmark for Causal Discovery

    by Rohail T.January 27, 2026
  • Cr-GAN Achieves 71.21% Accuracy for Few-Shot SAR Target Recognition
    Machine Learning

    Cr-GAN Achieves 71.21% Accuracy for Few-Shot SAR Target Recognition

    by Rohail T.January 27, 2026
  • Progidiff Achieves Medical Image Segmentation with Natural Language Prompts
    Machine Learning

    Progidiff Achieves Medical Image Segmentation with Natural Language Prompts

    by Rohail T.January 27, 2026
  • Recursivism Achieves Five-Level Scale for Self-Transforming Art with Artificial Intelligence
    Machine Learning

    Recursivism Achieves Five-Level Scale for Self-Transforming Art with Artificial Intelligence

    by Rohail T.January 26, 2026
  • Tenet Achieves Compact Robot Policies from Language in a Single Instantiation
    Machine Learning

    Tenet Achieves Compact Robot Policies from Language in a Single Instantiation

    by Rohail T.January 26, 2026
  • Curriculum-Based Deep Reinforcement Learning Achieves Stable Electric Vehicle Routing with Time Windows
    Machine Learning

    Curriculum-Based Deep Reinforcement Learning Achieves Stable Electric Vehicle Routing with Time Windows

    by Rohail T.January 26, 2026
  • Lorap Achieves Enhanced Quantized Graph Neural Networks Training Performance
    Machine Learning

    Lorap Achieves Enhanced Quantized Graph Neural Networks Training Performance

    by Rohail T.January 26, 2026
  • Diffusion Large Language Models Achieve Black-Box Optimisation with Limited Labeled Data
    Machine Learning

    Diffusion Large Language Models Achieve Black-Box Optimisation with Limited Labeled Data

    by Rohail T.January 24, 2026
  • Fine-Tuned LLMs Achieve 99% Plausible Counterfactuals for Health Interventions
    Machine Learning

    Fine-Tuned LLMs Achieve 99% Plausible Counterfactuals for Health Interventions

    by Rohail T.January 24, 2026
  • Dara Achieves Few-Shot Budget Allocation with RL-Finetuned LLMs for Online Advertising
    Machine Learning

    Dara Achieves Few-Shot Budget Allocation with RL-Finetuned LLMs for Online Advertising

    by Rohail T.January 24, 2026
  • Expris Advances Robotic Object Recognition with 3D Semantic Scene Graphs
    Machine Learning

    Expris Advances Robotic Object Recognition with 3D Semantic Scene Graphs

    by Rohail T.January 24, 2026
  • Pb4u-Gnet Achieves Resolution-Adaptive Garment Simulation, Improving Performance Beyond Training Distributions
    Machine Learning

    Pb4u-Gnet Achieves Resolution-Adaptive Garment Simulation, Improving Performance Beyond Training Distributions

    by Rohail T.January 24, 2026
  • Transmode-LLM Achieves 12.50% Improvement in Travel Mode Prediction Accuracy
    Machine Learning

    Transmode-LLM Achieves 12.50% Improvement in Travel Mode Prediction Accuracy

    by Rohail T.January 23, 2026
  • Semi-Supervised Object Detection Achieves Improved Performance with Limited Labeled Images
    Machine Learning

    Semi-Supervised Object Detection Achieves Improved Performance with Limited Labeled Images

    by Rohail T.January 22, 2026
  • Riemannian Liquid Spatio-Temporal Graph Network Achieves Accurate Dynamic Modelling
    Machine Learning

    Riemannian Liquid Spatio-Temporal Graph Network Achieves Accurate Dynamic Modelling

    by Rohail T.January 22, 2026
  • Dynamic Routing Achieves 19.3% Logistics Efficiency Gains Via Spatiotemporal Graph Learning
    Machine Learning

    Dynamic Routing Achieves 19.3% Logistics Efficiency Gains Via Spatiotemporal Graph Learning

    by Rohail T.January 22, 2026
  • Pmce Achieves 7.71% Improvement in Few-Shot Learning with Enhanced Semantics
    Machine Learning

    Pmce Achieves 7.71% Improvement in Few-Shot Learning with Enhanced Semantics

    by Rohail T.January 22, 2026
  • Igaa Achieves 3.81% Performance Gain in Agentic AI Edge Service Scheduling
    Machine Learning

    Igaa Achieves 3.81% Performance Gain in Agentic AI Edge Service Scheduling

    by Rohail T.January 22, 2026
  • Maml Co-Initialization Achieves Faster Active Noise Control with 2-Phase Inner Loops
    Machine Learning

    Maml Co-Initialization Achieves Faster Active Noise Control with 2-Phase Inner Loops

    by Rohail T.January 22, 2026
  • Graph Neural Networks Achieve Unsupervised Heuristics for Combinatorial Optimisation
    Machine Learning

    Graph Neural Networks Achieve Unsupervised Heuristics for Combinatorial Optimisation

    by Rohail T.January 22, 2026
  • Self-supervised Learning Achieves High Dispatch Accuracy for SC-DCOPF Problems
    Machine Learning

    Self-supervised Learning Achieves High Dispatch Accuracy for SC-DCOPF Problems

    by Rohail T.January 22, 2026
  • Drgw Achieves Robust Graph Watermarking Via Disentangled Representations for Data Provenance
    Machine Learning

    Drgw Achieves Robust Graph Watermarking Via Disentangled Representations for Data Provenance

    by Rohail T.January 22, 2026
  • Deep Learning Training Instability Linked to Four-Dimensional Dynamical Principles
    Machine Learning

    Deep Learning Training Instability Linked to Four-Dimensional Dynamical Principles

    by Rohail T.January 22, 2026
  • Agenticred Achieves 98% Vulnerability Exposure with Automated System Design
    Machine Learning

    Agenticred Achieves 98% Vulnerability Exposure with Automated System Design

    by Rohail T.January 21, 2026
  • Vlm-based Approaches Achieve Zero-Defect Anomaly Classification and Segmentation
    Machine Learning

    Vlm-based Approaches Achieve Zero-Defect Anomaly Classification and Segmentation

    by Rohail T.January 21, 2026
  • Low-complexity Architecture Achieves Multi-access Coded Caching with Arbitrary User Access
    Machine Learning

    Low-complexity Architecture Achieves Multi-access Coded Caching with Arbitrary User Access

    by Rohail T.January 20, 2026
  • Low-complexity Architecture Achieves Multi-access Coded Caching with Arbitrary User Access
    Machine Learning

    Protein Representation Learning Achieves Enhanced Accuracy with Adaptive Multi-Perspective Graph Fusion

    by Rohail T.January 20, 2026
  • Achieves Improved Credit Risk Assessment for Italian SMEs with Temporal-Aligned Meta-Learning
    Machine Learning

    Achieves Improved Credit Risk Assessment for Italian SMEs with Temporal-Aligned Meta-Learning

    by Rohail T.January 20, 2026
  • Advances Optimal Transport with In-Context Operator Learning Using Only - Samples
    Machine Learning

    Advances Optimal Transport with In-Context Operator Learning Using Only – Samples

    by Rohail T.January 20, 2026
  • Meta-learning Achieves Faster Adaptation to Data Shift in Time Series Classification
    Machine Learning

    Meta-learning Achieves Faster Adaptation to Data Shift in Time Series Classification

    by Rohail T.January 20, 2026
  • Fine-tuning Tabular Foundation Models Achieves Strong Zero-Shot Performance on Structured Data
    Machine Learning

    Fine-tuning Tabular Foundation Models Achieves Strong Zero-Shot Performance on Structured Data

    by Rohail T.January 20, 2026
  • Zero-shot Multilingual Retrieval Achieves 89.5% Recall with METAL Alignment
    Machine Learning

    Zero-shot Multilingual Retrieval Achieves 89.5% Recall with METAL Alignment

    by Rohail T.January 19, 2026
  • Gfm4ga Achieves 2.85% Improvement in Group Anomaly Detection Accuracy
    Machine Learning

    Gfm4ga Achieves 2.85% Improvement in Group Anomaly Detection Accuracy

    by Rohail T.January 19, 2026
  • Machine Learning Advances MEP Prediction with Quadrupole Moments, Improving QM9 Dataset Accuracy
    Machine Learning

    Machine Learning Advances MEP Prediction with Quadrupole Moments, Improving QM9 Dataset Accuracy

    by Rohail T.January 19, 2026

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