Food Waste Deceleration with AI Acceleration- Unlock Sustainability through AI
Did you know more than 1 billion tons of food is wasted every year? What if we could reduce that? What if optimized AI was the key
Building AI applications to solve real-world problems is our common challenge as developers. To solve a challenge like food waste, optimization is important.
As you begin your AI journey you’ve already trained your great neural network. It reaches 99.9% of accuracy and saves the world, so you would like to deploy it. However, it must run in real time and process data locally, and you don’t want to build a web API. After all, you are a Data Scientist, not a Web Developer… So, is it possible to automatically optimize and run the network fast on the local hardware you have, not the hardware you wish you had? Absolutely! During the talk, I’ll present the OpenVINO Toolkit. You’ll learn how to automatically convert the model using Model Optimizer and run the inference with the Runtime. The magic with only seven lines of code. After all, you’ll get a step-by-step jupyter notebook to try at home.
- How to run fast AI inference with your existing hardware
- How to set up and run AI inference with just 6 lines of code
- How to use the OpenVINO optimization tools to run faster AI inference
7- 7.15am PST – AI Basics/ Trends / AI Inference and Optimization
7.15- 7.30am PST – OpenVINO Toolkit
7.30- 7.45am PST – Hands-on AI usecase
7.45- 8.55am PST – Q & A Session