open.intel✓

Meet Lucas Melo, Cloud Solutions Architect at Intel and a driving force behind Intel Optimization Cloud Modules for Terraform and Ansible. His work turns @intel’s cloud optimizations into accessible, actionable code for the developers who need it most. This is open source with purpose. #OpenSource #MaintainerSpotlight

From games to high-frequency trading to systems-level C++, Ben Deane has written code that performs under pressure. Now at @intel, he’s maintaining core async frameworks and helping shape the future of modern C++ where performance matters most. #OpenSource #MaintainerSpotlight

Working upstream on the Linux kernel, Tony brings RAS and RDT support to Intel® Xeon® platforms, helping keep systems reliable, efficient, and ready for scale. #OpenSource #MaintainerSpotlight

Emotion isn't binary. It’s messy. Contradictory. Cultural. And we’re finally building AI that can see and hear that.

EmoNet isn’t just another benchmark. It’s a new baseline for how we train AI to interpret emotion, not flatten it. It makes space for: Real evaluation, not leaderboard chasing Emotional signals across languages, cultures, and contexts Models that respond like they’re listening, not just parsing This is groundwork for building AI that feels less robotic and more human-aware.

Built by @laion_ai Powered by Intel Open to the world. Explore the datasets and try the models yourself:

OPEA megaservices don’t do it all—they make it all happen. They run GenAI workflows by coordinating microservices with a blueprint. Modular, efficient and built to scale. Learn more:

What does it take to turn a research idea into a production-ready open source project? Mona Vij did exactly that with Gramine. At Intel Labs, she leads groundbreaking work in Confidential Computing and trusted execution—from cloud to edge. #OpenSource #MaintainerSpotlight

Building #GenAI apps with @OPEAdev? This article covers orchestration, microservices, and real-time data using Amazon Bedrock and OpenSearch:

OPEA megaservices don’t do it all - They make it all happen. They run GenAI workflows by coordinating microservices with a blueprint. Modular, efficient and built to scale. Learn more:

The AI behind Intel® Geti™ is designed to adapt fast. At the core of Geti is a custom model that updates quickly with user feedback. You can train it on your own data, refine it over time, and adjust your setup as conditions change without rebuilding everything from scratch. If you want a closer look at the technical details, we’ve shared them here: #IntelGeti

Why is writing open source documentation still one of the hardest parts of building a thriving project? In Intel’s 2024 open source community survey, bad or missing documentation was ranked as the #1 challenge for contributors. Too many docs assume too much knowledge. They skip architecture. They don’t explain why things were built the way they were. And when new contributors hit that wall, they leave. Documentation should be treated as infrastructure. If it’s strong, a project grows. If it’s weak, it stagnates. We’re investing in better onboarding materials across our open source work, because better docs lead to more contributors, and stronger communities.

Open source adoption starts with clean, reliable foundations. Kartikey Rameshbhai Parmar makes that happen at @intel, leading Linux OS enablement and Yocto maintenance. #OpenSource #MaintainerSpotlight