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

And we built models to match. The Empathic Insight-Face model beats Gemini 2.5 Pro and Hume AI on our facial emotion benchmarks. It tracks closely with human annotators across 40 emotions.

Let’s start with the problem. Here’s what most speech emotion datasets look like: Tiny datasets Coarse labels ("happy," "sad") Narrow speaker demographics No multilingual support Often closed license, which makes follow-up and iterative improvements difficult to say the least.

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: intel.ly/43Ws5zA

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: intel.ly/3HNb7Lc

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: intel.ly/4k0JpYL

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: intel.ly/4n9LTqO #IntelGeti