RESEARCH PAPER: Qualcomm: Ubiquitous AI For 5G

By Patrick Moorhead, Karl Freund - October 14, 2019

Smartphones today are the pervasive interface for some three billion people to communicate, take photos and videos, and access personal data and applications—all of which are increasingly dependent on AI and Deep Learning. Consequently, mobile processors must accelerate a wide range of AI features in applications, including image processing, voice recognition, translation and gaming. It is critical that the mobile semiconductors are fast but also must be extremely power-efficient to help conserve battery life.

You can download the paper by clicking on the logo below:

Table Of Contents

  • Introduction: The Road To Distributed Intelligence
  • Background
  • QTI AI Technology Overview
  • QTI's AI Market Strategy
  • Conclusions
  • Figure 1: The Importance Of On-Device Computing
  • Figure 2: QTI SoCs With AI Support
  • Figure 3: The Snapdragon 855
  • Figure 4: Qualcomm's Vision Intelligence Platform
  • Figure 5: Qualcomm's Software Stack For AI
  • Figure 6: Smart Phone Use Cases For AI

Companies Cited:

  • Amazon
  • Anandtech
  • Baidu
  • Facebook
  • Microsoft
  • NVIDIA
  • PCMag
  • Qualcomm Technologies Inc (QTI)
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Patrick founded the firm based on his real-world world technology experiences with the understanding of what he wasn’t getting from analysts and consultants. Ten years later, Patrick is ranked #1 among technology industry analysts in terms of “power” (ARInsights)  in “press citations” (Apollo Research). Moorhead is a contributor at Forbes and frequently appears on CNBC. He is a broad-based analyst covering a wide variety of topics including the cloud, enterprise SaaS, collaboration, client computing, and semiconductors. He has 30 years of experience including 15 years of executive experience at high tech companies (NCR, AT&T, Compaq, now HP, and AMD) leading strategy, product management, product marketing, and corporate marketing, including three industry board appointments.
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