Page tree
Skip to end of metadata
Go to start of metadata

LF Deep Learning Foundation’s Platform For Harmonizing Machine Learning Tools and AI Microservices

The Deep Learning technical community discusses the Acumos AI Project and how Acumos can be used by model developers and IT professionals to deliver machine learning solutions via a secure marketplace.

This 1-day event precedes the first public release of Acumos AI, This is the first public release of a project of the LF Deep Learning Foundation.
The day featured demonstrations and discussions of the Acumos Marketplace, a review of Acumos platform components, a panel discussion of the priorities and future direction of the platform in upcoming releases, and many talks on AI and Machine Learning from a variety of companies and individuals.

Presentations Delivered At The Acumos AI Day Conference




Welcome To Acumos Day NYC by Mazin Gilbert

Intro to Deep Learning Foundation by Scott Nicholas

AI Open Source Technologies - Today and Tomorrow by Susan Malaika, IBM

Acumos Tutorial by Farheen Cefalu, Manoop Talasila, Paul Triantafyllou, Guy Jacobson, Kazi Farooqui of AT&T

Acumos Architecture by Syed Anwar Aftab

Introduction to the Acumos AI Challenge

Cancer Classification Model by Rhutvij Savant , Stevens Institute of Technology

User Review Prediction via CLSTM by Jinhe Shi and Yuhua Gong, New Jersey Institute of Technology

Panel Discussion

AI Transforming The Physical World by Saar Yoskovitz, Augury

Challenges In Harnessing Wearables, Machine Learning And Big Data Analytics For Better Care by Eran Ofir, Somatix

Assembling AI Pipelines with Acumos by Gurudutt Hosangad, Nokia

Beyond Artificial Neural Networks : Neuroscience Inspired AI by Nikunj Nirmal, Tech Mahindra

LF Deep Learning Project: Open Source Innovation in AI by Ofer Hermoni, Amdocs

Model and Data Industrialization and Commercialization Needs & Challenges: Making AI Real by Nimish Radia, Ericsson

  • No labels