Imagen de Portada

Learning Random Numbers to Realize Appendable Memory System for Artificial Intelligence to Acquire New Knowledge after Deployment

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autor principal:	Yamada, Kazunori D
Formato:	Preprint
Publicado:	2024
Materias:	Machine Learning Artificial Intelligence Neural and Evolutionary Computing
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Neuromorphic Continual Learning for Sequential Deployment of Nuclear Plant Monitoring Systems
por: Roy, Samrendra, et al.
Publicado: (2026)

Evolutionary Developmental Biology Can Serve as the Conceptual Foundation for a New Design Paradigm in Artificial Intelligence
por: Erden, Zeki Doruk, et al.
Publicado: (2025)

A Hybrid Swarm Intelligence Approach for Optimizing Multimodal Large Language Models Deployment in Edge-Cloud-based Federated Learning Environments
por: Rjouba, Gaith, et al.
Publicado: (2025)

Replay4NCL: An Efficient Memory Replay-based Methodology for Neuromorphic Continual Learning in Embedded AI Systems
por: Minhas, Mishal Fatima, et al.
Publicado: (2025)

Memory Networks: Towards Fully Biologically Plausible Learning
por: Ruiz, Jacobo, et al.
Publicado: (2024)

Learning Successor Features with Distributed Hebbian Temporal Memory
por: Dzhivelikian, Evgenii, et al.
Publicado: (2023)

Evolutionary Computation and Explainable AI: A Roadmap to Understandable Intelligent Systems
por: Zhou, Ryan, et al.
Publicado: (2024)

Graph Memory Learning: Imitating Lifelong Remembering and Forgetting of Brain Networks
por: Miao, Jiaxing, et al.
Publicado: (2024)

Embodied Neuromorphic Artificial Intelligence for Robotics: Perspectives, Challenges, and Research Development Stack
por: Putra, Rachmad Vidya Wicaksana, et al.
Publicado: (2024)

Memory Mosaics
por: Zhang, Jianyu, et al.
Publicado: (2024)

Learning from Emergence: A Study on Proactively Inhibiting the Monosemantic Neurons of Artificial Neural Networks
por: Wang, Jiachuan, et al.
Publicado: (2023)

Metric Matters: A Formal Evaluation of Similarity Measures in Active Learning for Cyber Threat Intelligence
por: Benabderrahmane, Sidahmed, et al.
Publicado: (2025)

On the Temperature of Machine Learning Systems
por: Zhang, Dong
Publicado: (2024)

Provably Optimal Memory Capacity for Modern Hopfield Models: Transformer-Compatible Dense Associative Memories as Spherical Codes
por: Hu, Jerry Yao-Chieh, et al.
Publicado: (2024)

Structure of Artificial Neural Networks -- Empirical Investigations
por: Stier, Julian
Publicado: (2024)

SpikeNAS: A Fast Memory-Aware Neural Architecture Search Framework for Spiking Neural Network-based Embedded AI Systems
por: Putra, Rachmad Vidya Wicaksana, et al.
Publicado: (2024)

FedProK: Trustworthy Federated Class-Incremental Learning via Prototypical Feature Knowledge Transfer
por: Gao, Xin, et al.
Publicado: (2024)

EvoSampling: A Granular Ball-based Evolutionary Hybrid Sampling with Knowledge Transfer for Imbalanced Learning
por: Pei, Wenbin, et al.
Publicado: (2024)

Artificial Neural Microcircuits as Building Blocks: Concept and Challenges
por: Walter, Andrew, et al.
Publicado: (2024)

Artificial Intelligence Software Structured to Simulate Human Working Memory, Mental Imagery, and Mental Continuity
por: Reser, Jared Edward
Publicado: (2022)

Long-Sequence Memory with Temporal Kernels and Dense Hopfield Functionals
por: Farooq, Ahmed
Publicado: (2025)

Modality-Dependent Memory Mechanisms in Cross-Modal Neuromorphic Computing
por: Blessing, Effiong, et al.
Publicado: (2025)

Brain-inspired Computational Intelligence via Predictive Coding
por: Salvatori, Tommaso, et al.
Publicado: (2023)

No One-Size-Fits-All Neurons: Task-based Neurons for Artificial Neural Networks
por: Fan, Feng-Lei, et al.
Publicado: (2024)

Improved Forecasting Using a PSO-RDV Framework to Enhance Artificial Neural Network
por: Aribe Jr, Sales
Publicado: (2024)

Flexible Prefrontal Control over Hippocampal Episodic Memory for Goal-Directed Generalization
por: Zheng, Yicong, et al.
Publicado: (2025)

Memoria: Resolving Fateful Forgetting Problem through Human-Inspired Memory Architecture
por: Park, Sangjun, et al.
Publicado: (2023)

Knowledge-aware Evolutionary Graph Neural Architecture Search
por: Wang, Chao, et al.
Publicado: (2024)

Adapting Rule Representation With Four-Parameter Beta Distribution for Learning Classifier Systems
por: Shiraishi, Hiroki, et al.
Publicado: (2025)

FedAvgen: Metadata for Model Aggregation In Communication Systems
por: Kiggundu, Anthony, et al.
Publicado: (2025)

Multiscale Astrocyte Network Calcium Dynamics for Biologically Plausible Intelligence in Anomaly Detection
por: Iskar, Berk, et al.
Publicado: (2025)

Recursive Dynamics in Fast-Weights Homeostatic Reentry Networks: Toward Reflective Intelligence
por: Chae, B. G.
Publicado: (2025)

A Class Inference Scheme With Dempster-Shafer Theory for Learning Fuzzy-Classifier Systems
por: Shiraishi, Hiroki, et al.
Publicado: (2025)

Enhancing Neural Network Representations with Prior Knowledge-Based Normalization
por: Faye, Bilal, et al.
Publicado: (2024)

Enabling Robust In-Context Memory and Rapid Task Adaptation in Transformers with Hebbian and Gradient-Based Plasticity
por: Chaudhary, Siddharth
Publicado: (2025)

Application of Unsupervised Artificial Neural Network (ANN) Self_Organizing Map (SOM) in Identifying Main Car Sales Factors
por: Taghavi, Mazyar
Publicado: (2024)

QSLM: A Performance- and Memory-aware Quantization Framework with Tiered Search Strategy for Spike-driven Language Models
por: Putra, Rachmad Vidya Wicaksana, et al.
Publicado: (2026)

Accelerating Multi-Objective Collaborative Optimization of Doped Thermoelectric Materials via Artificial Intelligence
por: Zeng, Yuxuan, et al.
Publicado: (2025)

Evaluating Open-Source Sparse Autoencoders on Disentangling Factual Knowledge in GPT-2 Small
por: Chaudhary, Maheep, et al.
Publicado: (2024)

Language Models Learn Universal Representations of Numbers and Here's Why You Should Care
por: Štefánik, Michal, et al.
Publicado: (2025)