Apac
  • Home
  • CXO Insights
  • CIO Views
  • News
  • Conferences
  • Newsletter
  • Whitepapers
  • About us
Apac
  • Admired Tech

    Agile

    AI Healthcare

    Artificial Intelligence

    Augmented Reality

    Aviation

    Big Data

    Blockchain

    Cloud

    Cryptocurrency

    Cyber Security

    DevOps

    Digital Transformation

    Drone

    HPC

    Infrared

    Internet of Things

    IT Services

    Marine Tech

    Networking

    PropTech

    Remote Work

    Robotics

    Scheduling Software

    Sensor Tech

    Simulation

    Smart City

    Software Testing

    Startup

    Storage

    Unified Communication

    Web Development

    Wireless

  • Automotive

    Banking

    Capital Market

    Construction

    E-Commerce

    Education

    FinTech

    Food and Beverages

    Gov and Public

    Healthcare

    Insurance

    Legal

    Logistics

    Manufacturing

    Media and Entertainment

    Metals and Mining

    Pharma and Life Science

    Retail

    Sports

    Travel and Hospitality

  • CISCO

    Google

    IBM

    Microsoft

    Oracle

    Salesforce

    SAP

    ServiceNow

  • Business Intelligence

    CEM

    Cloud-based Planning

    Cognitive

    Collaboration

    Compliance

    Contact Center

    Contact Tracing

    Contactless Payments

    Corporate Finance

    CRM

    Custom Software Development

    Data Center

    Digital Signage

    Enterprise Architecture

    Enterprise Asset Management

    Enterprise Communications

    Enterprise Contract Management

    Enterprise Performance Management

    ERP

    Facility Management

    Field Service

    Fleet Management

    Gamification

    HR Technology

    IT Infrastructure

    IT Service Management

    Managed Services

    PLM

    Procurement

    Product Management

    Project Management

    RegTech

    Revenue Management

    Sales Tech

Menu
    • CISCO
    • Collaboration
    • Compliance
    • Contact Center
    • Healthcare
    • IT Service Management
    • Microsoft
    • Retail
    • MORE
    #

    Apac CIO Outlook Weekly Brief

    ×

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

    Subscribe

    loading

    THANK YOU FOR SUBSCRIBING

    • Home
    • News
    • Augmented Reality
    Editor's Pick (1 - 4 of 8)
    left
    In Augmented Reality, Size Matters

    Jason Blackman, CIO, Carsales.Com

    Essential Technology Elements Necessary To Enable Transformations

    Leni Kaufman, VP & CIO, Huntington Ingalls

    Taking the Right Technology Initiatives

    Jawahar Kaliani, Deputy CIO, Department of Treasury - Office of the Comptroller of the Currency

    Changing the Way we Work

    Amol Bargaje, CIO, Jenner & Block

    Dipping in a toe or Going Full Belly Flop : Incorporating Augmented and Virtual Reality into the Design Process

    Raymond Kent, Principal, Director of the Innovative Technology Design Group, DLR Group

    Simulators are the New Way to Extend Beyond Virtual Reality

    Scott Mcmillan, Manager of Technology and Innovation at Melbourne Water

    Augmented and Virtual Reality in Today’s World

    Mayank Singh, Head of Digital, Technology and Marketing Departments, Domino’s Pizza, Indonesia

    Making the Most out of AR Technology

    Stephen Witherden, Technical Fellow – Software Engineering, Beca

    right

    The Woes of Machine Learning Fragmentation and the Solution to it

    By Apac CIO Outlook | Friday, July 31, 2020
    Tweet

    Machine learning has made a place in people’s daily life through the use of smart devices they interact with as well as its increased adoption in commercial and industrial sectors. Although machine learning capabilities are being applied to social media platforms, IoT devices, cameras, and automobiles among others, the speed of innovation is leading to fragmentation, which may result in stalling.

    Check This Out: Top Banking Companies

    Fragmentation is a problem that plagues many industries that either lack the standards or have to comply with various competing standards, if not judged accordingly; it can stifle innovation crippling the emergence of new technologies.

    In machine learning, format fragmentation increases the time needed to create, train, deploy neural networks, thus, affecting developers, data scientists and researchers involved.

    The benefits from all of the features offered by the various frameworks and formats that a neural network is trained from may be monumental, but it makes transfers between frameworks difficult causing fragmentation.

    Format fragmentation can be solved by creating a single transfer standard that is compatible across various platforms. A standardized file format across the industry could be a “PDF for neural networks” and would allow researchers, data scientists, and developers to transfer their neural networks between various frameworks and to numerous inference engines without spending extra time.

    Seeing that a standard is undoubtedly needed to solve the fragmentation problem, Facebook and Microsoft will create an open-source format called ONNX (open neural network exchange) for AI frameworks, and also, The Khronos Group, a global consortium, is focused on developing a standard called NNEF (neural network exchange format). It is unclear whether a single standard format can address all the demands of the machine learning industry, but it is clear that there is an imminent requirement for neural network standards, and the two groups are committed to making sure the AI industry make its next leap.

    See Also: Top Machine Learning Solution Companies

     
     
    tag

    Machine Learning

    IoT

    Weekly Brief

    loading
    Top 10 DevOps Solution Companies - 2019
    Top 10 DevOps Consulting/Services Companies -2019
    ON THE DECK

    DevOps 2019

    Top Vendors

    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

    Read Also

    Five AI Technologies to Help Boost Business

    Five AI Technologies to Help Boost Business

    Popular E-Commerce Growth Trends in 2021

    Popular E-Commerce Growth Trends in 2021

    Four Reasons to Implement Cloud Managed Services

    Four Reasons to Implement Cloud Managed Services

    Leveraging CRM to Transform Leads Into Customers

    Leveraging CRM to Transform Leads Into Customers

    Major IoT Software Implementation Challenges

    Major IoT Software Implementation Challenges

    Key Advantages of Using Smart Home Technologies

    Key Advantages of Using Smart Home Technologies

    Loading...

    Copyright © 2021 APAC CIOoutlook. All rights reserved. Registration on or use of this site constitutes acceptance of our Terms of Use and Privacy Policy  |  Sitemap |  Subscribe

    follow on linkedinfollow on twitter follow on rss
    This content is copyright protected

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

    https://www.apacciooutlook.com/news/the-woes-of-machine-learning-fragmentation-and-the-solution-to-it-nwid-5493.html