NVIDIA Guide to Deep Learning & Artificial Intelligence

  • Analyst White Paper
  • PDF 1087 KB
  • 9 pages

Overview

AI is transforming the entire world of technology, but AI isn’t new. It has been around for decades, but AI technologies are only making headway now due to the proliferation of data and the investments being made in storage, compute and analytics technologies. Much of this progress is due to the ability of learning algorithms to spot patterns in larger and larger amounts of ...

AI is transforming the entire world of technology, but AI isn’t new. It has been around for decades, but AI technologies are only making headway now due to the proliferation of data and the investments being made in storage, compute and analytics technologies. Much of this progress is due to the ability of learning algorithms to spot patterns in larger and larger amounts of data.

In this guide, we’ve taken a high-level view of AI and deep learning in terms of how it’s being used and what technological advances have made it possible. We also explained the difference between AI, machine learning and deep learning, and examined the intersection of AI and HPC.

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This guide helps you learn about AI and deep learning technological advances and helps you understand the differences between AI, machine learning and deep learning.

NVIDIA deep learning guide

Deep Learning and AI – An Overview - 2

The Difference between AI, Machine Learning and Deep Learning - 3

Are AI/Machine Learning/Deep Learning in Your Company’s Future? - 5

Deployment Results & Technology Perspectives - 6

Accelerating Analytics and Machine for the Enterprise - 7

Success Stories - 8

AI Accelerated Cyber Defense - 9

Defending the Planet with AI - 9 

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