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AI vs. Machine Learning vs. Deep Learning vs. Neural Networks: What’s the difference?

IBM Journey to AI blog

While artificial intelligence (AI), machine learning (ML), deep learning and neural networks are related technologies, the terms are often used interchangeably, which frequently leads to confusion about their differences. Machine learning is a subset of AI. What is artificial intelligence (AI)?

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Enhancing AI-Powered Computer Vision Through Physics-Awareness

Unite.AI

However, assimilating the understanding of physics into the realm of neural networks has proved challenging. In a significant breakthrough, the UCLA study intends to combine the deep understanding from data and the real-world know-how of physics, thereby creating a hybrid AI with augmented capabilities.

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What is Artificial General Intelligence (AGI) and Why It’s Not Here Yet: A Reality Check for AI Enthusiasts

Unite.AI

Symbolic AI , a classical approach using logic and symbols for knowledge representation and manipulation, excels in abstract and structured problems like mathematics and chess but needs help scaling and integrating sensory and motor data.

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A Guide to Mastering Large Language Models

Unite.AI

LLMs are a class of deep learning models that are pretrained on massive text corpora, allowing them to generate human-like text and understand natural language at an unprecedented level. Word2Vec pioneered the use of shallow neural networks to learn embeddings by predicting neighboring words.