WAI Educate Workshop: Optimizing AI Models for Mobile Deployment

The AI Use Case Series is an initiative under the Educate program at Women In AI, designed to provide professionals, entrepreneurs, and enthusiasts with valuable insights into real-world AI applications. By showcasing AI’s impact and application across industries, this series empowers attendees to integrate AI effectively into their careers and projects.

This session will focus on:
- Introduction to Model Optimization for Mobile (focusing on compression & quantization)
- Deep dive into Quantization
- Practical implementation of Quantization
- Tools and toolkits available for applying quantization to AI models
- Debugging quantized models: troubleshooting common issues and validating accuracy
- Interpreting results: evaluating model performance post-quantization
Overview of techniques to make AI models mobile-friendly, focusing on compression and quantization.

Ioannis Lelekas is an expert in AI and machine learning with a focus on optimizing models for mobile and embedded systems. He works at Qualcomm, where he specializes in deploying efficient AI solutions that leverage advanced quantization techniques to optimize performance on mobile platforms. With extensive experience in AI model compression, he brings valuable insights into the trade-offs between accuracy and efficiency.

Qualcomm relentlessly innovates to deliver intelligent computing everywhere, helping the world tackle some of its most important challenges. Proven solutions drive transformation across major industries, and Snapdragon® branded platforms power extraordinary consumer experiences. Building on nearly 40 years of leadership in setting industry standards and creating era-defining technology breakthroughs, Qualcomm delivers cutting-edge AI, high-performance, low-power computing, and unrivaled connectivity. Together with ecosystem partners, the company enables next-generation digital transformation to enrich lives, improve businesses, and advance societies. Qualcomm is engineering human progress.

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Host or Publisher Women in AI Netherlands