Description:

In this workshop we address the common challenges faced by developers migrating AI workloads from workstations to edge devices. Qualcomm aims to democratize AI at the edge, easing the transition to the edge by supporting familiar frameworks and data types. Additionally, we offer a range of tools to assist advanced developers in optimizing performance and power consumption for their AI applications.

In this session, we empower developers with knowledge and tools to efficiently deploy optimized models on real devices using the Qualcomm AI Hub. We’ll begin with an introduction to the Qualcomm AI Hub. We’ll then walk through examples showing how to optimize models using the AI Hub. Attendees will also have opportunities to speak with Qualcomm’s AI model deployment experts.

Join us for an immersive session where you’ll discover how to harness the power of AI Hub to streamline your deployment process and bring your AI applications to life in just minutes. This hands-on session is tailored for machine learning engineers and AI/ML application developers, including those working on Android, Windows, and IoT/AIoT applications. Bring your laptop (Windows, Mac or Linux) to fully engage with AI Hub. To participate in the hands-on experience, ensure you have Python (>=3.8, <=3.10) installed and the ability to run “pip install qai-hub”, or you can utilize Google Colab through your browser. We look forward to seeing you there!