Deep Learning Interfaces: Future of AI (Technical Insights)

Deep Learning Interfaces: Future of AI (Technical Insights)

Deep Learning Unravels Layers of Patterns in Large Data

RELEASE DATE
13-Jul-2015
REGION
Global
Research Code: D66B-01-00-00-00
SKU: AE00195-GL-TR_00195

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$3,712.50 save 25 %

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Description

Deep learning refers to the latest futuristic advancements in which machines are trained to think like the human brain, which includes recognizing patterns and making inferences about the surrounding environment. Innovation trends and applications are evolving in this space to make an effective contribution to growing segments such as artificial intelligence (AI), Internet of Things (IoT), social computing, voice recognition, speech and text analyses, image and object recognition. The objective of the research service is to offer a detailed account of deep learning technology segments, technology innovations, and application innovations across sectors. This research service provides insights on deep learning interfaces and their impact on key sectors. It also provides notes on futuristic applications and major convergence scenarios.

Table of Contents

Research Outline

Key Findings

Research Methodology

Introduction to Deep Learning and its Applications

Why is Deep Learning Important?

Deep Learning Trends Transforming Key Technologies

Deep Learning Trends Transforming Key Technologies (continued)

Unsupervised Deep Learning Capabilities Are Transforming Speech Recognition Interfaces

Deep Learning Algorithms Improvise Natural Language Processing (NLP) Systems

Machines Emote With The Help Of Deep Learning

Deep Learning Increases Integration Efficiency Of Structured Learning Systems

Deep Learning Increases The Visualization Aspect Of Immersive Technologies

Deep Learning Serves Basis For Artificial Brain Simulation And Modeling

Deep Learning Enables Simulation Of Complex Machine Architectures

Deep Learning Impacts Healthcare Industry By Analyzing A Wide Range Of Data On Patient’s Disease Conditions

Deep Learning Enables Sentiment Analysis in Social Media

Deep Learning Enables In-depth Analysis Of Stock Exchanges In Finance Sector

Deep Learning Enables Voice Interfaces For Retailing, E-commerce And Automotive Industry

Deep Learning Enables Intelligent Robots In Defense And Heavy Machinery Industry

Key Deep Learning Startups and Industry Impact

Key Deep Learning Startups and Industry Impact

Convergence of big data and deep learning enhances financial and customer insights

Convergence of data visualization and deep learning helps in efficient management of healthcare data

Convergence of deep learning with augmented reality enhances functionality

Convergence of deep learning with cloud computing helps to reduce platform dependency

Key Futuristic Applications

Key Contacts

Key Contacts (continued)

Legal Disclaimer

The Frost & Sullivan Story

Value Proposition: Future of Your Company & Career

Global Perspective

Industry Convergence

360º Research Perspective

Implementation Excellence

Our Blue Ocean Strategy

Related Research
Deep learning refers to the latest futuristic advancements in which machines are trained to think like the human brain, which includes recognizing patterns and making inferences about the surrounding environment. Innovation trends and applications are evolving in this space to make an effective contribution to growing segments such as artificial intelligence (AI), Internet of Things (IoT), social computing, voice recognition, speech and text analyses, image and object recognition. The objective of the research service is to offer a detailed account of deep learning technology segments, technology innovations, and application innovations across sectors. This research service provides insights on deep learning interfaces and their impact on key sectors. It also provides notes on futuristic applications and major convergence scenarios.
More Information
No Index No
Podcast No
Author Sathya Vendhan
Industries Aerospace, Defence and Security
WIP Number D66B-01-00-00-00
Keyword 1 deep learning technology
Keyword 2 deep learning
Keyword 3 Future of AI
Is Prebook No