In The News

The LF AI Foundation, which is aimed at enabling and sustaining open source innovation in artificial intelligence (AI), machine learning (ML), and deep learning (DL) has merged with ODPi, a nonprofit organization accelerating the open ecosystem of big data solutions.

The new organization is called LF AI & Data Foundation. According to the announcement, the consolidated group brings developers and projects under one roof, governed by a single Technical Advisory Council and several committees.

Read more at FOSSLife.

The Linux Foundation is doubling down on open source collaboration to drive more innovation in technology that uses artificial intelligence (AI), machine learning (ML), and deep learning (DL). The LF AI Foundation and ODPi merged on Oct. 25 to form the LF AI & Data Foundation.

This new organization, under the auspices of the LF, will build and support an open community and a growing ecosystem of open source AI, data, and analytics projects.

Read more at TechNewWorld.

The Linux Foundation’s AI Foundation project has dropped its second software release for its Acumos project, which includes a new licensing framework and partner catalogs.

The LF AI Foundation, which was previously known as LF the Deep Learning Foundation, was launched last year to spur innovation across artificial intelligence, machine learning and deep learning not just in the telecom industry, but across other industries as well.

Following up on the first release in November, which was called Athena, the second release, which is called Boreas, has added training and license verification for artificial intelligence (AI), machine learning (ML), and deep learning (DL) models and apps for use by community developers and data scientists.

“The key part about Boreas, or Acumos in general, is trying to address the real need to move AI as a more general purpose tool across the broader company and not just be applied in specialty areas,” said Jack Murray, assistant vice president of inventive science, intelligent systems and incubation within AT&T Labs.

Read more at FierceTelecom.

The Linux Foundation’s Artificial Intelligence Foundation (AIF) has announced the availability of the second release of Acumos AI, its open source platform for building, sharing and deploying artificial intelligence models. I’ve been following the Acumos project since its inception and wrote about the initial release, Athena, last November. Now, seven months later, some notable progress has been made. (See The Acumos AI Project Is On Track but Lacking ‘Apps’.)

This latest release, dubbed Boreas (in keeping with the Greek god theme), has two new key capabilities which should make the project more attractive to developers. As flagged by Orange executives in April, the latest release adds a licensing framework which facilitates the commercialization of AI models, and it integrates model training capabilities.

Read more at Light Reading.

One of the driving forces behind AT&T’s overall network transformation is Network AI, a framework using software-defined networking, artificial intelligence, and edge computing to create an autonomous network based on open source efforts. AT&T Labs is spearheading this intelligent, software-defined framework initiative focused on identifying areas where a combination of software, open source and AT&T resources can drive innovation for the wireless industry. AT&T and Tech Mahindra have co-created Acumos AI, an industry-first platform, open source framework and marketplace that makes it easy to chain multiple micro-services together in a simple drag-and-drop interface. The Acumos AI White Paper highlights AT&T’s direction and efforts in supporting this open source AI and machine learning community.

Read more at AI Trends.

Intel today unveiled Nauta, a new distributed computing framework for running deep learning models in Kubernetes and Docker-based environments. The chip giant says Nauta will make it easier for data scientists to develop, train, and deploy deep learning workloads on large clusters, “without all the systems overhead and scripting needed with standard container environments.”

Nauta features customizable deep learning model templates that support popular deep learning development frameworks, including Horovod.

Read more at Enterprise Tech.