Take the complexity out of developing physical AI to power all types of robotics deployments. Read our developers guide to get under the hood of Robotics AI Suite’s reference applications, demos, libraries, and benchmarking tools to accelerate time to value on #IntelCoreUltra processors (Series 3). See the guide here: https://intel.ly/43mMMnn
Intel Software
IT Services and IT Consulting
Connecting the worldwide community of developers on all things software and hardware.
About us
Connecting the worldwide community of developers on all things software and hardware.
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http://software.intel.com
External link for Intel Software
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- IT Services and IT Consulting
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- 10,001+ employees
Updates
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Intel Software reposted this
Productivity with Gen AI on your PC is here, using AI Playground AI Playground 2.6 leverages advanced Gen AI models that take you from exploring AI on your Intel powered PC to being productive. - Simply edit photos by describing what to change - Turn draft illustrations into photorealistic images - Iterate on marketing concepts then bring to life in video - Create characters and virtual models with a likeness you control - Write code from scratch or get assistance or edit code projects - And much more Learn more at https://lnkd.in/gDT2imuq
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Announcing Intel's new Robotics AI Suite—an open-source software collection for developing stationary, autonomous mobile, and humanoid robot solutions faster. The suite includes control recipes, reference applications, and AI models optimized for real-time performance and AI acceleration on a single CPU. Learn more: https://intel.ly/4nR7RPm
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In episode three of Intel's AI Essentials, Senior AI Software Solutions Engineer Dr. Ehssan Khan explains the fine-tuning process for text classification using on Polite Guard, Intel’s latest natural language model. Watch it here: https://lnkd.in/et67HntB
Intel AI Essentials, Episode 3—LLM Fine-Tuning: How It Works and How to Start | Intel Software
https://www.youtube.com/
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What does it take to build robots that can see, understand, and interact more naturally? Join us at DevCon 2025 to discover how 3D vision and visual language models are driving new capabilities in robotics. You’ll learn how developers are applying models like YOLO, Whisper, and ACT to advance perception and communication, and how OpenVINO™ makes these complex workloads faster and more efficient. Expect insights you can bring into your own robotics projects, from solving vision challenges to enabling real-time interaction. As part of this webinar series, you can also earn the official DevCon 2025 Certificate of Participation by attending three or more sessions, a great way to showcase your commitment to continuous learning. 📅 October 8, 10 AM PT Save your seat: https://intel.ly/3VWTfS2
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How do you orchestrate the execution of GenAI workflows? Dr. Ehssan Khan introduces the megaservice: a rethink of scale, complexity, and control in the OPEA framework. https://intel.ly/4q2Fi2Q #opensource #ai #microservices #opea #EnterpriseAI #GenAI #LFProjects #Intel
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Intel Software reposted this
Robotics and AI are becoming increasingly important for building the next generation of intelligent systems. From 3D data inference to visual language models, developers are finding new ways to help robots better perceive and interact with the world around them. I’m looking forward to this Dev Con session, where teammates will share their work in this space. This will include practical ways developers can address challenges like perspective and complex environments, and how tools like OpenVINO™ can make these models run more efficiently in real-world robotics applications. It’s a great opportunity for developers interested in robotics and AI to learn! 🔗 Register here: https://lnkd.in/ghkmRtfp
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What does it take to make GenAI work across clouds, vendors, and use cases—without collapsing under its own complexity? We’re exploring that through OPEA, an open-source framework built around megaservices. Come see what we’re building: https://intel.ly/48LRjTW #opensource #ai #microservices #opea #EnterpriseAI #GenAI #LFProjects #Intel
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Can you build agentic AI systems with small language models—on CPUs? Efficient inference without GPUs is possible. Let us show you how. In this walkthrough, we show how to build agentic AI systems on Google Cloud’s C4 series using Intel Xeon 6—ideal for models under 20B parameters—with LangChain, MCP, and vLLM. 🔗 Learn more and try it out: https://intel.ly/42gh3Uw #AgenticAI #LangChain #vLLM #IntelXeon #GoogleCloud #AI
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Want to run your own AI models locally on Intel hardware in Windows apps? With Windows ML now generally available— and with its new integration of the OpenVINO toolkit— developers can deploy AI across CPUs, GPUs, and NPUs. Check out our sample workflows (ResNet-50, CLIP-ViT) and VS Code tools help you get started. Try it out here: https://intel.ly/4muMwtf #WindowsML #OpenVINO #AI #AIonWindows #Developers