Skip to main content
  • Create account
  • Log in
EclipseCon - Eclipse Foundation
Register Now
  • Conference
    • Program Schedule
    • Program List
    • Keynotes
    • Registration
  • Community Activities
    • Community Day Overview
    • Automotive & SDV Community Day
    • Community Day for Java Developers
    • OSGi Summit
    • eSAAM 2023 on Cloud-to-Edge Continuum
    • Call for BoFs
    • Dinner Meetups
    • EMO Office Hours
  • Sponsors
    • Be a Sponsor
    • Information for Exhibitors
    • Our Sponsors
    • Sponsor Testimonials
  • Resources
    • Code of Conduct
    • Meet the Speakers
    • Information for Speakers
    • Information for Tutorial Presenters
    • Press
    • Share Your Participation
    • Convince Your Manager
    • Onsite Information for Attendees
  • About Us
    • EclipseCon 2023
    • Program Committee
    • The Eclipse Foundation
    • Past Conferences
  • Venue
    • Conference Venues
    • Hotels
    • Ludwigsburg
  1. Home
  2. EclipseCon
  3. machine learning

machine learning

Open AQAvit Test Strategy

Lan Xia (IBM)
Longyu Zhang (IBM)

Open AQAvit Test Strategy for OpenJDK binaries are based on open, transparent, robust, and adaptable test suites. We are establishing AQA as the comprehensive open quality standard for OpenJDK verification. AQAvit verification demonstrates that the product is a high-quality offering, ready for enterprise usage, and production quality inclusion criteria. It is one of the three requirements for listing at the Adoptium Marketplace.

Experience level: 
Beginner

Open Source Best Practices
Open Source Best Practices

Addressing Edge AI Challenges to scale. Anomaly detection/inference made simple with Eclipse Kura & Kapua.

Salvatore Coppola (Eurotech)
Gregory Ivo (Eurotech)
Simone Fiorani (Eurotech)
Mattia Dal Ben (Eurotech)

Moving AI models from development to production has its own set of challenges and risks when the Edge is involved.

In this laboratory we're going to learn how to overcome these challenges leveraging the Nvidia Triton™ Inference Server, Eclipse Kura and Eclipse Kapua, two frameworks for the Edge and Cloud.

This laboratory will give attendees a hands-on experience of the entire lifecycle of an Edge AI application, from data collection to training to model deployment.

Experience level: 
Beginner

IoT & Edge
IoT & Edge

Zenoh-Flow: Enabling AIoT Applications across the Cloud-to-Things continuum

Gabriele Baldoni (Student)

The objective of this presentation is to introduce and demonstrate the Zenoh-Flow framework as a solution to the challenges of developing and managing machine learning (ML) applications in the decentralized Cloud-to-Things continuum.

The presentation will highlight the following points:

Experience level: 
Beginner

Automotive & Mobility
Automotive & Mobility

Best practices for Human Mobility and Real-time Machine Learning

Fawaz Ghali (Hazelcast)

The applications of real-time machine learning on human mobility data continue to grow, thanks to the increase in digital mobility data, such as phone records, GPS traces, and social media posts. This has led to exponential growth in areas such as next location prediction, crowd flow, trajectory generation, flow generation, disease spreading, urban projection, and well-being.

Experience level: 
Intermediate

Automotive & Mobility
Automotive & Mobility

Proactive approach to boost application performance with ML

Chandrakala Subramanyam
Kusuma Chalasani (Red Hat India)
Rashmi Badagandi (Red Hat India Pvt.Ltd)

With the Cloud buzz all around us, whether deploying microservices or traditional applications, scaling applications, going serverless and more, there are challenges to be solved at all layers (Hardware, Container, Runtime, App Server, Application). And it is important to tune each layer to achieve improved performance with cost benefits

In this talk, we will walk you through:

Experience level: 
Beginner

Intelligent Testing Platform

Geetha Karna (IBM)

Future-proof your Testing with Machine Learning Drive innovation by empowering your teams with end-to-end tests that self-heal and run at-scale in the cloud. Speed up development, lower costs, and improve quality in CI/CD environments. Avoid wasting time fixing broken test cycle. You can dynamically update your tests using machine learning to keep up with product changes. Quickly diagnose test failures with suggestions. Also achieve adaptive execution at scale by running as many test cycles as often needed.

 

 

Experience level: 
Beginner

All Things Quality & Security
All Things Quality & Security

Oniro - an AI-friendly operating system

Andrea Basso (Director - Synesthesia)

Artificial intelligence (AI) software and hardware advancements are resulting in a slew of smart gadgets that can detect and react to sights, sounds, and other patterns without the need for a constant internet connection.

Experience level: 
Beginner

Oniro
Oniro

Future of Software Testing: Artificial Intelligence Assistance.

Mesut Durukal (Siemens)

Nowadays, researches are looking for adaptation of Machine Learning algorithms to testing processes to reduce the manual effort and improve quality. In this talk, we will discuss in detail Machine Learning practices with a case study. Testing efforts are potentially able to be minimized in all stages.

I aim to demonstrate how ML helps in all stages. In this manner, I summarize the application areas with algorithms and discuss the advantages and potential risks of AI applications in software testing.

Experience level: 
Beginner

All Things Quality
All Things Quality

Formatting for the Masses - the final

Fabio Spiekermann (itemis AG)

Experience level: 
Intermediate

Other Cool Stuff

Minimizing CPU utilization for deep networks

Akshay Bahadur (Symantec)
So for demos, I am planning for

- MNIST

- Autopilot (NVIDIA)

- Emojinator

- Malaria Detection

- Quick, Draw (Google)

 

So to pinpoint the techniques for minimization of CPU resources, I am going to discuss

Experience level: 
Beginner

Other Cool Stuff

  • 1
  • 2
  • next
  • last

Eclipse Foundation

  • About Us
  • Contact Us
  • Sponsor
  • Members
  • Governance
  • Code of Conduct
  • Logo and Artwork
  • Board of Directors
  • Careers

Legal

  • Privacy Policy
  • Terms of Use
  • Copyright Agent
  • Eclipse Public License
  • Legal Resources

Useful Links

  • Report a Bug
  • Documentation
  • How to Contribute
  • Mailing Lists
  • Forums
  • Marketplace
EclipseCon is brought to you by The Eclipse Foundation with the support of our sponsors.
Powered by Drupal and built on COD.

Copyright © Eclipse Foundation. All Rights Reserved.

Back to the top