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In The News

Dataquest: Tech Mahindra launches GAiA 2.0 to help enterprises adopt artificial intelligence faster

By In The News

Tech Mahindra announced the release of GAiA 2.0, the latest version of its Enterprise Artificial Intelligence (AI) and Machine Learning (ML) lifecycle management platform GAiA, powered by Acumos.

GAiA 2.0 will enable comprehensive AI and ML driven platform capabilities and services to be deployed across mainstream, optimizing enterprise operations in real time across industry verticals. It offers an enriched marketplace of models and numerous features to empower enterprises across industry verticals to build, manage, share and rapidly deploy AI and ML driven services and applications addressing critical business problems.

Read more at Dataquest.

ZDNet: IBM joins Linux Foundation AI to promote open source trusted AI workflows

By In The News

AI is advancing rapidly within the enterprise — by Gartner’s count, more than half of organizations already have at least one AI deployment in operation, and they’re planning to substantially accelerate their AI adoption within the next few years. At the same time, the organizations building and deploying these tools have yet to grapple with the flaws and shortcomings of AI– whether the models deployed are fair, ethical, secure, or even explainable.  

Before the world is overrun with flawed AI systems, IBM is aiming to rev up the development of open-source trusted AI workflows. As part of that effort, the company is joining the Linux Foundation AI (LF AI) as a General Member. 

Read more at ZDNet.

FierceTelecom: AI Foundation offers second helping of Acumos with Boreas release

By In The News

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.

Light Reading: Acumos AI Project Adds Smarts With Boreas

By In The News

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.

Podcast: The Future of Artificial Intelligence at Scale

By In The News, Podcast

For this week’s episode of the The New Stack Analysts podcast, TNS editorial director Libby Clark and TNS London correspondent Jennifer Riggins sat down (via Zoom) with futurist Martin Ford, author of “Architects of Intelligence: The truth about AI from the people building it,” and Ofer Hermoni, chair of the technical advisory council for The Linux Foundation’s Deep Learning Foundation projects, to talk about the current state of AI, how it will scale, and its consequences.

Read More at THENEWSTACK

AI Trends: What is the Potential ROI from AI in 5G Wireless Networks?

By In The News

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.

Enterprise Tech: Intel’s Nauta, a Deep Learning Framework for Containerized Clusters

By In The News

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.

Datanami: Intel Unveils Nauta, a DL Framework for Containerized Clusters

By In The News

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 in Datanami.

Sina: In 2019, the eight major AI trends worthy of attention

By In The News

The advantages and far-reaching effects of AI can only be seen from the new AI competition between China and the United States. In the future, artificial intelligence will reshape everything from the nature of work to daily communication to transportation. The “creative destruction” will revolutionize a large number of existing skills and work conditions, opening up a new era of intelligence.

Read more at Sina.