LF AI & Data Foundation, a division of the Linux Foundation, launched a working group on Tuesday that will focus on the development of DocLang, a specification intended to support interoperable document processing across AI and agentic workflows.
The working group, founded by premier members IBM, Nvidia and Red Hat, is tasked with the creation of an open, universal, AI-native document format designed to improve how enterprises prepare, exchange, and govern document data for AI systems. Contributors ABBYY and Human Signal will also be involved in its development.
The announcement stated, “enterprises today work across a fragmented landscape of document formats, including PDFs, JPEGs, and other file types built primarily for human consumption rather than AI interpretation.”
As organizations increasingly rely on generative AI and agentic systems, it said, “this disconnect can introduce complexity, raise costs, and reduce reliability when extracting meaning from business documents.”
Mark C
Restricting AI applications could stifle innovation and economic growth, impacting investment across energy, chips, and infrastructure sectors.
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NEURA Robotics has closed a $1.4B Series C, the largest ever for a full-stack robotics company, backed by Amazon, NVIDIA, Qualcomm, Tether, and others.
Nvidia's innovation in co-packaged optics could redefine AI infrastructure efficiency, but widespread adoption risks amplifying potential issues.
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Neura Robotics has secured up to $1.4 billion in Series C financing to expand its humanoid robotics technology. The German company attracted backing from Tether, Qualcomm, Amazon, Nvidia, Bosch, Schaeffler, and the European Investment Bank. The funding places Neura in…
New protocol enables secure, open sharing of Agent Skills, AI models, and data across platforms SAN FRANCISCO, June 10, 2026 — The Linux Foundation, the nonprofit organization enabling mass innovation […]
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TensorWave's funding surge underscores AMD's strategic push to challenge Nvidia in AI, potentially reshaping the competitive landscape.
The post TensorWave raises $350M in Series B funding led by AMD and Magnetar Capital appeared first on Crypto Briefing.
Today, Google DeepMind released DiffusionGemma — an experimental open model built for exceptionally fast text generation. NVIDIA has optimized DiffusionGemma to run even faster across NVIDIA GeForce RTX GPUs, the NVIDIA RTX PRO platform and NVIDIA DGX Spark systems, from local PCs to the cloud. Rather than generating text one word at a time, DiffusionGemma generates multiple words in parallel to output whole blocks of text, opening a new, low-latency frontier for the kind of single-user workloads that developers, […]