American AI giants are backing a new effort to establish open standards for building agentic software and tools. OpenAI, Anthropic, and Block have cofounded a new open source organization--the Agentic AI Foundation--to promote standards for artificial intelligence agents. The three companies are also transferring ownership of some widely used agentic technologies over to the foundation. This includes Anthropic's Model Context Protocol (MCP), which allows agents to connect and interact; OpenAI's Agents.md These technologies were already free to use, but through the new foundation it will be possible for others to contribute to their development.

To accelerate progress in AI, PyTorch is moving to a new, independent PyTorch Foundation, under the Linux Foundation umbrella. The project will join the Linux Foundation with a diverse governing board composed of representatives from AMD, Amazon Web Services, Google Cloud, Meta, Microsoft Azure, and Nvidia, with the intention to expand over time. The PyTorch Foundation will act as a responsible steward for the technology and support PyTorch through conferences, training courses, and other initiatives. The foundation's mission is to drive adoption of AI tooling by fostering and sustaining an ecosystem of open source, vendor-neutral projects with PyTorch. It will democratize state-of-the-art tools, libraries, and other components to make these innovations accessible to everyone.

Open Source Software (OSS) is a proven model that delivers tangible benefits to businesses, including improved time-to-market, reduced costs, and increased flexibility. OSS is pervasive in the technology landscape and beyond it, with adoption across multiple industries. In a 2022 survey by Red Hat, 95 percent of IT leaders said they are using open source in their IT infrastructure, which will only increase. Artificial intelligence (AI) is no different from any other technology domain where OSS dominates. In a recent paper published by Linux Foundation Research, written by Dr. Ibrahim Haddad, General Manager of the LF AI & Data Foundation, over 300 critical open source projects have been identified offering over 500 million lines of code, contributed by more than 35,000 developers who work side by side to advance the state of technology in an open, collaborative, and transparent way. As with other industries, OSS adoption in the AI field has increased the use of open source in products and services, contributions to existing projects, the creation of projects fostering collaboration, and the development of new technologies due to this amazing success story.

Did you miss a session from the Future of Work Summit? Let the OSS Enterprise newsletter guide your open source journey! The Linux Foundation, the nonprofit consortium that provides a vendor-neutral hub for open source projects. The Linux Foundation will maintain Kedro under Linux Foundation AI & Data (LF AI & Data), an umbrella organization founded in 2018 to bolster innovation in AI by supporting technical projects, developer communities, and companies. "We're excited to welcome the Kedro project into LF AI & Data. It addresses the many challenges that exist in creating machine learning products today and it is a fantastic complement to our portfolio of hosted technical projects," Ibrahim Haddad, executive director of LF AI & Data, said.

'Data is the new oil' is an over-marketed quote, but one that is certainly true when it comes to machine learning (ML). In an ML world dominated by supervised learning techniques, having access to high-quality labeled datasets is essential to advance ML research and practical implementations. However, labeled datasets are computationally expensive to produce and remain a privilege of large companies, which increases the gap between the "haves" and the "have nots" in the ML space. Beyond the impact in the economics of the ML market, access to high-quality datasets is fundamental to advance research in different ML fields. Datasets such as ImageNet were kind of a Sputnik moment (we mean the first artificial satellite) in ML, sparking remarkable breakthroughs in computer vision.

The Linux Foundation has announced a new permissive license designed to help foster collaboration around open data for artificial intelligence (AI) and machine learning (ML) projects. It has often been said that data is the new oil, but for AI and ML projects in particular, having access to expansive and diverse data sets is key to reducing bias and building powerful models capable of all manner of intelligent tasks. To machines, data is a little like "experience" is to humans -- the more of it you have, the better decisions you are likely to make. With CDLA-Permissive-2.0, the Linux Foundation is building on its previous efforts to encourage data-sharing efforts through licensing arrangements that clearly define how the data -- and any derivative data sets -- can and can't be used. The Linux Foundation first introduced the Community Data License Agreement (CDLA) back in 2017 to entice organizations to open up their vast pools of (underused) data to third-parties.

The Linux Foundation on Tuesday announced the Open Voice Network, an open source association dedicated to advancing open standards that support the adoption of AI-enabled voice assistance systems. Organizations are beginning to develop, design, and manage their own voice assistant systems that are independent of today's general-purpose voice platforms. The desire to manage the entirety of the user experience is driving this transition. This control includes the sound of the voice, the sonic branding, and the content. The goal is to integrate voice assistance into multiple business processes and brand environments from the call center to the branch office and the store.

"It's not an earthquake that kills people, but the collapse of a poorly built building." Build Change, a foundation dedicated to preventing housing loss caused by natural disasters such as earthquakes and windstorms, is announcing the "Intelligence Supervision Assistant for Construction" (ISAC-SIMO) app. And it could save countless lives. Attend the tech festival of the year and get your super early bird ticket now! The tool utilizes machine learning to help people ensure they're using the best materials and construction methods to ensure buildings are disaster-ready.

A battle for control over edge computing environments is expected to drive a total of $800 billion in spending through 2028, according to a report published today by the LF Edge arm of the Linux Foundation. The State of the Edge report is based on analysis of the potential growth of edge infrastructure from the bottom up across multiple sectors modeled by Tolaga Research. The forecast evaluates 43 use cases spanning 11 vertical industries. The one thing these use cases have in common is a growing need to process and analyze data at the point where it is being created and consumed. Historically, IT organizations have deployed applications that process data in batch mode overnight.

Developers and business leaders can learn about the latest trends in artificial intelligence (AI) at IBM's free Data & AI digital conference on Nov. 10 starting at 2 pm GMT. The sessions will focus on operations, ethics, and cloud computing. IBM is running the conference again on Nov. 24 for India and the Asia Pacific region. People who register for the conference get $300 in credits to spend on any services in the IBM Cloud Catalog. Attendees who completes the course in Track 3 earn an AI and Data Essentials badge.