A Self-service Platform to Deploy State-of-the-art Deep Learning Models in Under 30 Minutes


Where: Exhibit Hall ET 1

Date:  Day 2

Start Time: 2:10 pm

End Time: 2:40 pm

This first-of-its-kind, self-service platform makes it possible for software and hardware developers – even those who aren’t skilled in artificial intelligence – to deploy hyper-efficient, state-of-the-art deep learning models onto edge devices. It’s so simple that any developer can deploy AI in their embedded, mobile or workstation application in less than 30 minutes! After the presentation, we’ll have interactive demos at our booth where you can see the platform in action.

Track

Session Speakers

  • Bo Zhu is the CTO of BlinkAI, a spin-off from imaging research he developed as a postdoctoral research fellow at Harvard. At BlinkAI, he leads the development of machine learning techniques to accelerate high-fidelity CMOS image acquisition and reconstruction in difficult environments. His Ph.D. thesis at MIT focused on boosting the imaging sensitivity of magnetic resonance contrast agents. His most recent academic work published in Nature rethinks the conventional image reconstruction signal processing pipeline with a fully automated deep learning approach, significantly improving images with rapidly acquired low-quality raw data, setting a computational foundation for accelerating discovery of novel acquisition strategies and hardware designs.

  • Peter is currently the Vice President of Engineering at Xnor.ai. Peter is a seasoned tech leader who has recruited and scaled top-tier software engineering teams and launched disruptive AI and software products including Microsoft’s Xbox One and Kinect for Windows, Amazon’s Fire TV and Xnor’s AI2GO self-service developer platform. Peter has 25+ patents granted in software technology, machine learning and wireless communications.


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A Self-service Platform to Deploy State-of-the-art Deep Learning Models in Under 30 Minutes