Embeddedadvisor
US
APAC
EUROPE
  • Home
  • Insights
  • Whitepaper
  • Conferences
  • Newsletter
  • Subscribe
  • News
  • About us
Go to...
  • Home
  • Insights
  • Whitepaper
  • Conferences
  • Newsletter
  • Subscribe
  • News
  • About us
  • Categories

  • Embedded Design and Solutions
  • Automotive
  • Electronics Design and Solutions
  • Aerospace
  • Imaging & Machine Vision
  • More
      • IP Design
      • Medical Devices
      • PCB Design/Engineering
      • Test/Measurement
      • Wireless Technology
      • Telecom
      • Wearables/Sensor
      • Consumer Electronics
      • Memory/Storage
      • IoT
      • Industrial Computing
Go to...
  • Categories

  • Embedded Design/Solutions
  • Automotive
  • Electronics Design/Solutions
  • Aerospace
  • Imaging & Machine Vision
  • IP Design
  • Medical Devices
  • PCB Design/Engineering
  • Test/Measurement
  • Wireless Technology
  • Telecom
  • Wearables/Sensor
  • Consumer Electronics
  • Memory/Storage
  • IoT
  • Industrial Computing
×
#

Embedded Advisor Weekly Brief

Be first to read the latest tech news, Industry Leader's Insights, and CIO interviews of medium and large enterprises exclusively from Embedded Advisor

Subscribe

loading

THANK YOU FOR SUBSCRIBING

  • Home
  • News
Editor's Pick(1 - 4 of 8)
left
To Escape Data Chaos, Consolidate the Fragmented Storage Landscape

Mohit Aron, CEO, Cohesity

Digital Preservation: Going Beyond Continuity and Storage

Jon Tilbury, CEO, Preservica

Big Data Retires Your Data Storage Infrastructure... So Now What?

Shahbaz Ali, President & CEO, Tarmin

Is Enterprise Storage having a Netflix Moment?

Irshad Raihan, Senior Manager, Product Marketing, Red Hat

Addressing the Data Challenges in EDA - A Closer Look at Software-Defined Storage

Liran Zvibel, Co-Founder, CTO, WekaIO

3 Trends Driving Storage Innovation

Steve Moyer, VP of Storage Software Engineering, Micron Technology

Use Cases for Software-Defined Storage

Andrew Mullen, SVP, Talon

A Chief Data Officer's View of Storage Strategies

Jim Tyo, VP & CDO, Nationwide

right

How AI Technology Tackles Embedded System Memory Challenges

By Embedded Advisor | Monday, January 27, 2020

Tweet

AI technology enables embedded systems to access real-time data while eliminating the need for external memory to deliver high computing performance. 

FREMONT, CA: Artificial Intelligence (AI) promises the world with brilliant tech-solutions, and embedded system developers realize that implementing these solutions can bring in features like image analysis, predictive decision-making, and speech recognition. In the rapidly growing world of electronic devices and gadgets, AI-based embedded systems help the manufacturers meet customer demands for high performing computation. Massive storage capacities achieve the primary need for the advanced estimate in MCUs.

AI-based embedded systems offer features like low-power memory, which enables applications in resource-constrained conditions on the network edge. Today, smart appliances like automated lighting, air or temperature controllers, intelligent speakers, and more such embedded devices have become essential for both domestic and corporate sectors. Deploying AI technology into the embedded systems offers not only excellent access-control features but also high security by instantly identifying authorized users.        

Solution developers continuously put massive efforts to expand the size of memory required for high-performance computing applications. AI enables online resources to the embedded systems that push processing steps to the cloud, making the results instantaneous and data-driven. The flexible feature to use data from numerous online resources increases computational performance while eliminating the need for external memory drives and reducing the devices’ total power consumption.

In recent years, embedded system developers have invested a massive amount in exploring advanced memory solutions. Such solutions support high-throughput, low-power external memory devices, enabling advanced computations and intelligently fetching data. There are a multitude of solutions available in the market, offering effective methods for the expansion of memory, and delivering high computation performances for future electronic devices and gadgets.

tag

Artificial Intelligence

Read Also

How Embedded Storage Emends Transportation

How Embedded Storage Emends Transportation

How Flashless MCUs Improve Storage for Embedded AI systems

How Flashless MCUs Improve Storage for Embedded...

How does Embedded Storage Contribute to Smart Transportation?

How does Embedded Storage Contribute to Smart...

How are Innovations in Memory Technology Shaping Up?

How are Innovations in Memory Technology...

Weekly Brief

loading

New Edition

I agree We use cookies on this website to enhance your user experience. By clicking any link on this page you are giving your consent for us to set cookies. More info

Copyright © 2021 Embedded Advisor. All rights reserved. Registration on or use of this site constitutes acceptance of our Terms of Use and Privacy Policy.
follow on linkedin follow on twitter
This content is copyright protected

However, if you would like to share the information in this article, you may use the link below:

www.embeddedadvisor.com/news/how-ai-technology-tackles-embedded-system-memory-challenges-nid-545.html