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Transforming Human-Computer Interaction with OpenVINO

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Manage episode 522289036 series 3574631
Content provided by EDGE AI FOUNDATION. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by EDGE AI FOUNDATION or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

The boundary between humans and computers is blurring as AI capabilities advance, creating opportunities for more natural, conversational interactions with our devices. Raymond Lowe from Intel takes us on a journey through the evolution of human-computer interaction, from simple mouse clicks to sophisticated chatbots that understand context, process images, and engage in meaningful dialogue.
At the heart of this transformation is OpenVINO, Intel's toolkit for optimizing neural networks across diverse hardware. Raymond demonstrates how this technology enables edge devices—from laptops to specialized processors—to run sophisticated AI models locally without requiring cloud connectivity. The examples are compelling: generating beautiful images of teddy bears in just seconds on standard laptop GPUs, running large language models that once consumed 25GB of RAM on modest hardware, and creating smart cameras that can describe what your baby is doing without complex coding.
Memory management emerges as the hero of this story. Through techniques like quantization (reducing model precision from 32-bit to 8-bit or even 4-bit), OpenVINO dramatically shrinks model size while maintaining accuracy. This isn't just about fitting models into limited memory—it's about activating specialized hardware instructions that can deliver 2-3x performance improvements, transforming sluggish experiences into fluid, real-time interactions.
The impact extends beyond technical achievements. Raymond shares the emotional moment when he first got a chatbot running locally: "I never felt so alive when I saw the machine talking to me." For developers, this means being able to create prototypes in weeks rather than months, accessing hundreds of pre-optimized examples, and focusing on building experiences rather than struggling with technical hurdles.
Through partnerships with Microsoft's AI Foundry program, these capabilities are being integrated directly into Windows, ensuring consumers get optimal AI performance from their hardware without additional setup. For industries embracing AI—from healthcare to retail to smart cities—OpenVINO offers a path to enhance existing applications while exploring new possibilities at the intersection of traditional and generative AI approaches.
Want to experience this revolution yourself? Check out Intel's extensive library of notebooks and examples, or try the Open Edge Platform to start building immediately. The future of human-computer interaction isn't just coming—it's already here on your local device.

Send us a text

Support the show

Learn more about the EDGE AI FOUNDATION - edgeaifoundation.org

  continue reading

Chapters

1. Introduction to Chatbots with OpenVINO (00:00:00)

2. The Evolution of Human-Computer Interaction (00:04:36)

3. Understanding OpenVINO and Hardware Optimization (00:08:48)

4. Quantization and Memory Management (00:17:03)

5. Demo Examples and Implementation (00:24:17)

6. Q&A on Industry Applications (00:31:56)

69 episodes

Artwork
iconShare
 
Manage episode 522289036 series 3574631
Content provided by EDGE AI FOUNDATION. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by EDGE AI FOUNDATION or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

The boundary between humans and computers is blurring as AI capabilities advance, creating opportunities for more natural, conversational interactions with our devices. Raymond Lowe from Intel takes us on a journey through the evolution of human-computer interaction, from simple mouse clicks to sophisticated chatbots that understand context, process images, and engage in meaningful dialogue.
At the heart of this transformation is OpenVINO, Intel's toolkit for optimizing neural networks across diverse hardware. Raymond demonstrates how this technology enables edge devices—from laptops to specialized processors—to run sophisticated AI models locally without requiring cloud connectivity. The examples are compelling: generating beautiful images of teddy bears in just seconds on standard laptop GPUs, running large language models that once consumed 25GB of RAM on modest hardware, and creating smart cameras that can describe what your baby is doing without complex coding.
Memory management emerges as the hero of this story. Through techniques like quantization (reducing model precision from 32-bit to 8-bit or even 4-bit), OpenVINO dramatically shrinks model size while maintaining accuracy. This isn't just about fitting models into limited memory—it's about activating specialized hardware instructions that can deliver 2-3x performance improvements, transforming sluggish experiences into fluid, real-time interactions.
The impact extends beyond technical achievements. Raymond shares the emotional moment when he first got a chatbot running locally: "I never felt so alive when I saw the machine talking to me." For developers, this means being able to create prototypes in weeks rather than months, accessing hundreds of pre-optimized examples, and focusing on building experiences rather than struggling with technical hurdles.
Through partnerships with Microsoft's AI Foundry program, these capabilities are being integrated directly into Windows, ensuring consumers get optimal AI performance from their hardware without additional setup. For industries embracing AI—from healthcare to retail to smart cities—OpenVINO offers a path to enhance existing applications while exploring new possibilities at the intersection of traditional and generative AI approaches.
Want to experience this revolution yourself? Check out Intel's extensive library of notebooks and examples, or try the Open Edge Platform to start building immediately. The future of human-computer interaction isn't just coming—it's already here on your local device.

Send us a text

Support the show

Learn more about the EDGE AI FOUNDATION - edgeaifoundation.org

  continue reading

Chapters

1. Introduction to Chatbots with OpenVINO (00:00:00)

2. The Evolution of Human-Computer Interaction (00:04:36)

3. Understanding OpenVINO and Hardware Optimization (00:08:48)

4. Quantization and Memory Management (00:17:03)

5. Demo Examples and Implementation (00:24:17)

6. Q&A on Industry Applications (00:31:56)

69 episodes

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