IBM Journey to AI blog

JULY 6, 2023

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. How do artificial intelligence, machine learning, deep learning and neural networks relate to each other?

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Neural Network Deep Learning Machine Learning Artificial Intelligence 178

Unite.AI

FEBRUARY 10, 2025

While Apple, Samsung, and Qualcomm are demonstrating the power of hybrid AI through their ecosystem features, these remain walled gardens. But AI shouldn't be limited by which end-user device someone happens to use. NeuroSplit is fundamentally device-agnostic, cloud-agnostic, and neural network-agnostic.

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Neural Network Hybrid AI AI Modeling Large Language Models 232

Unite.AI

JUNE 25, 2023

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.

Computer Vision 361

Computer Vision Robotics Neural Network Hybrid AI 361

Unite.AI

FEBRUARY 16, 2024

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.

Neural Network 195

Neural Network Machine Learning Algorithm Natural Language Processing 195

NVIDIA

MAY 29, 2024

As the capabilities and use cases for generative AI continue to grow, so does the demand for compute to support it. Hybrid AI combines the onboard AI acceleration of NVIDIA RTX with scalable, cloud-based GPUs to effectively and efficiently meet the demands of AI workloads.

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Generative AI Hybrid AI Data Scientist Neural Network 103

Unite.AI

AUGUST 22, 2023

We wrote developed custom rules (later more complex neural networks) to predict which customers we should approach with which products at which times to maximize the likelihood of a salesperson’s time resulting in revenue uplift. You’ve described Algolia as being the most scalable hybrid AI search engine in the world.

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Big Data Neural Network Natural Language Processing Machine Learning 246

O'Reilly Media

NOVEMBER 19, 2024

One more embellishment is to use a graph neural network (GNN) trained on the documents. As a result, GraphRAG mixes two bodies of “AI” research: the more symbolic reasoning which knowledge graphs represent and the more statistical approaches of machine learning.

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LLM NLP Hybrid AI Large Language Models 127