It’s an exciting time to work in technology, from the IoT and cloud, to the eye-opening real of artificial intelligence, deep learning and machine learning. It is the dawn of a new day in the network, and groups like LF Deep Learning Foundation are opening the blinds to let the sun shine brighten the room.
LF Deep Learning Foundation announced the addition of five members recently. Red Hat, Ciena, DiDi, Intel and Orange (News - Alert) bring rich resources the aid in developing and expanding open source Deep Learning, Machine Learning and AI projects.
“The Deep Learning Foundation is a significant achievement by the open source community to drive harmonization among tools and platforms in deep learning and artificial intelligence,” said Mazin Gilbert, Vice President of Advanced Technology and Systems at AT&T (News - Alert). “This effort will enable an open marketplace of analytics and machine learning capabilities to help expedite adoption and deployments of DL solutions worldwide.”
Membership of the LF Deep Learning Foundation now extends beyond the founding members of ZTE, Univa (News - Alert), Tencent, Tech Mahindra, Nokia, Huawei, Baidu, B.Yond, AT&T and Amdocs.
A project of note underway by the group, the Acumos AI Project, will be on display at the upcoming Open Source (News - Alert) Summit. The foundation will showcase the comprehensive platform for AI model discovery, development and sharing.
“The progression of artificial intelligence and machine learning technologies calls for a shift in how we design and implement networks and services,” said Adan Pope (News - Alert) Chief Information Technology Officer at Ciena. “Joining the LF Deep Learning community supports our AI strategy, reinforces our mission to drive intelligent network and service automation, and puts us in a stronger position to help shape the future of this evolving industry.”
Networking is evolving in an adaptive direction, leveraging innovation in automation and network intelligence to deliver on the expectations of digital transformation.
Edited by Maurice Nagle