Artificial neural networks (ANNs) are used in a wide range of programs across different domains. In computer vision, ANNs power applications like image classification, object detection, and facial recognition. In natural language processing (NLP), they are used for tasks such as sentiment analysis, machine translation, and text summarization. ANNs also play a critical role in speech processing, enabling voice recognition and synthesis. Beyond AI-driven applications, they are used in financial forecasting, fraud detection, and recommendation systems. Programs using ANNs leverage their ability to identify complex patterns and make predictions based on data.
What sort of programs are artificial neural networks used for?
- Information Retrieval 101
- Mastering Audio AI
- Optimizing Your RAG Applications: Strategies and Methods
- Exploring Vector Database Use Cases
- Natural Language Processing (NLP) Advanced Guide
- All learn series →
Recommended AI Learn Series
VectorDB for GenAI Apps
Zilliz Cloud is a managed vector database perfect for building GenAI applications.
Try Zilliz Cloud for FreeKeep Reading
What trade-offs emerge when scaling: for example, is it more efficient to have one large index on a beefy node or to split into many smaller indexes on multiple smaller nodes?
When scaling a system that relies on indexes—like a database or search engine—the choice between a single large index on
What is the role of surrogate models in Explainable AI?
Surrogate models play a crucial role in Explainable AI (XAI) by providing simplified representations of complex machine
Can SSL reduce bias in machine learning models?
Yes, SSL (Semi-Supervised Learning) can help reduce bias in machine learning models. Traditional supervised learning rel