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Tag: MNIST

  • Ai’s Hidden Weaknesses Exposed As Attacks Evade Current Security Measures
    Space

    AI Security: Data Poisoning Attacks Evade Defenses

    by Muhammad Rohail T.February 11, 2026
  • Dqas Achieves Robust Quantum Computer Vision Against Adversarial Attacks and Noise
    Artificial Intelligence

    Quantum Vision: Robust Against Attacks & Noise

    by Muhammad Rohail T.January 29, 2026
  • Neural Network Data Flow Achieves Robustness Analysis Using Ollivier-Ricci Curvature
    Machine Learning

    Neural Networks: Robustness via Ricci Curvature

    by Muhammad Rohail T.January 28, 2026
  • Batchensemble Fails to Achieve Ensemble Performance on CIFAR10/10C/SVHN Datasets
    Space

    BatchEnsemble Fails on Image Datasets

    by Muhammad Rohail T.January 28, 2026
  • Pruning to 90% Achieves Greater Robustness in Safety-Critical Neural Networks
    Space

    90% Pruning Boosts Robustness of Neural Networks

    by Muhammad Rohail T.January 21, 2026
  • Domain-aware Quantum Circuit Achieves Efficient Machine Learning on NISQ Devices
    Quantum Physics

    Quantum Circuit Boosts NISQ Machine Learning

    by Muhammad Rohail T.December 24, 2025
  • Forward-forward Networks Enable Efficient Learning through Collaborative, Global Context Integration
    Science

    Forward Networks Boost AI Efficiency

    by Muhammad Rohail T.December 24, 2025
  • Quantum Enhanced Adversarial Robustness Achieved with Rydberg Reservoir Learning for Spatiotemporal Pattern Extraction
    Physics, Quantum Research News

    Quantum Robustness with Rydberg Reservoir Learning

    by Muhammad Rohail T.October 16, 2025
  • Single-shot Quantum Machine Learning Achieves Accurate Inference with Dramatically Fewer Measurements
    Quantum Machine Learning, Quantum Research News

    Quantum ML: Accurate Inference with Fewer Measurements

    by Muhammad Rohail T.September 29, 2025
  • Predictive Coding Fine-tuning Enables Computationally Efficient Domain Adaptation for Deep Neural Networks
    Science, Quantum Features, Quantum Research News

    Predictive Coding Boosts Neural Network Adaptation

    by Muhammad Rohail T.September 27, 2025
  • Triplet Loss Based Quantum Encoding Improves Class Separability and Reduces Circuit Depth for Binary Classification
    Quantum Algorithms, Quantum Research News

    Quantum Encoding Boosts Binary Classification Accuracy

    by Muhammad Rohail T.September 23, 2025
  • Photonic Circuits Classify Time Sequences with Microrings
    Technology

    Photonic Circuits Classify Time Sequences with Microrings

    by Dr. DonovanSeptember 16, 2025
  • Bottleneck Layers Achieve Advantage Via Matrix Product Operators and Disentangling Circuits
    Quantum Algorithms

    Matrix Product Operators Boost Neural Networks

    by Dr. DonovanSeptember 10, 2025
  • Spiking Neural Networks Boost Accuracy with New Rule
    Deep Tech

    Spiking Neural Networks Boost Accuracy with New Rule

    by Dr. DonovanAugust 25, 2025
  • Brain-inspired Computing Achieves Energy Efficiency with Dynamic Weight Pruning.
    Technology News

    Weight Pruning Boosts Brain-Inspired Computing Efficiency

    by Dr. DonovanJune 19, 2025
  • Multi-Chip Frameworks for Scalable and Robust Quantum Machine Learning
    Quantum Computing

    Quantum Machine Learning: Scalable Multi-Chip Frameworks

    by Dr. DonovanMay 14, 2025
  • Revolutionizing Deep Learning with Secure Asynchronous Task Parallelism
    Artificial Intelligence

    Deep Learning: Secure Quantum Task Parallelism

    by Dr. DonovanDecember 19, 2024
  • Revolutionizing Computing: Quantum Powers Breakthrough in Neuromorphic Models
    Artificial Intelligence, Quantum Features

    Quantum Neuromorphic Models Advance Computing

    by Dr. DonovanDecember 4, 2024
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