Artificial Neural Network
An Artificial Neural Network is a computing system inspired by the brain's neural networks. It consists of layers of interconnected nodes (neurons) that process data by adjusting weights through learning. ANNs can recognize patterns, make predictions, and classify information by training on large datasets. They're widely used in tasks like image recognition, language processing, and predictive analytics.
Related Conference of Artificial Neural Network
March 09-10, 2026
14th Global Summit on Artificial Intelligence and Neural Networks
Singapore City, Singapore
December 07-08, 2026
12th International Conference and Exhibition on Mechanical & Aerospace Engineering
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December 09-10, 2026
25th International Conference on Big Data & Data Analytics
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Artificial Neural Network Conference Speakers
Recommended Sessions
- Federated Learning
- AI Ethics and Responsible AI
- AI in Cybersecurity
- AI in Finance
- AI in Healthcare
- AI-Powered Personalization
- Artificial Neural Network
- AutoML and Low-Code Machine Learning
- Causal Inference
- Data Democratization
- Data Privacy and Security
- Data Science
- Data-Centric AI
- Deep Learning
- Edge AI and IoT Analytics
- Generative AI
- Graph Neural Networks
- Large-Scale Data Engineering
- Multi-Modal Learning
- Quantum Machine Learning
- Real-Time Data Streaming
- Reinforcement Learning
- Synthetic Data
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