Georgia Institute of Technology (Atlanta) hosted the Hacklytics collegiate hackathon on February 9-11, 2024. Intel sponsored compute resources for the participants via the Intel® Developer Cloud. At the event, our team educated the attendees about Intel’s ‘AI Everywhere’ initiative, Intel® Student Ambassador Program, Educator Program, and Intel® Liftoff Program for AI startups.
Here are the hackathon highlights:
- Around 1200 student attendees and AI startups who attended the event learned about Intel’s GenAI resources, AI framework optimizations, AI/ML tools and resources, and end-to-end AI development software portfolio.
- Over 390 new users signed up for Intel Developer Cloud, a unified platform to experiment with Intel’s optimized software tools on the latest accelerated hardware.
- Around 280 students attended our interactive workshop, where they learned how to leverage Intel Developer Cloud for their hackathon projects.
- The Intel Liftoff team hosted a meetup in collaboration with Georgia Tech’s startup accelerator program called CREATE-X.
- Around 100 students learned how to create custom images using a stable diffusion Jupyter notebook on Intel Developer Cloud.
Read further to know about the winning projects developed by the hackers using Intel’s resources.
About the Hackathon Winners
Out of the 37 hackathon project submissions for the ‘Best use of Intel Developer Cloud’ track, the following 3 projects were announced as winners:
- Robotic Registers won 1st place with its Graph Generative Adversarial Network (GAN) model designed to synthesize logic circuits using a PyTorch GPU environment on Intel Developer Cloud. The project helps generate datasets crucial for deep learning models in the logic circuit domain. It augments training data for machine learning algorithms, enhancing the robustness and diversity of datasets in electronic design automation (EDA). Training models on the generated logic circuit graphs enables advanced anomaly identification within real circuits. Furthermore, the synthetic logic circuits serve as valuable benchmark datasets for testing the performance of various EDA algorithms, facilitating comprehensive exploratory data analysis to unearth patterns, trends, and irregularities in logic circuit design.
- Easy Deep Learning secured the 2nd-position in the hackathon. The team developed an innovative, no-code platform to simplify the deep learning model fine-tuning process. The user-friendly platform empowers users to start with just a few images and leverages synthetic data generation through stable diffusion and various data augmentations to build and fine-tune models quickly. The unique project architecture integrates a locally developed frontend with Firebase for real-time data synchronization. It utilized a stable diffusion Jupyter Notebook on Intel Developer Cloud as the backend engine to craft a sophisticated synthetic data pipeline, seamlessly followed by a custom-written training loop within the same notebook environment.
- Estate Edge, the 3rd-prize winner project, uses satellite imagery and deep learning to predict real estate trends by analyzing development over 10 years. It identifies growth areas, advising on smart investments by distance learning. The team used code from one of Intel’s workshops based on wildfire prediction using Intel® Extension for PyTorch* to get the dataset from Google Maps. It used Intel Developer Cloud as the platform for project development and execution.
All the winners were awarded free Intel Developer Cloud credits for further development of their projects. The 1st-place winner team also walked away with a Lenovo* AI PC.
What’s Next?
We encourage you to get started with Intel Developer Cloud for accelerated AI development. If you are new to the cloud platform, sign up today! Join the Intel Liftoff Program to transform your early-stage AI startup into an industry-standard company. To collaborate with developer communities for innovating with oneAPI and Intel Developer Cloud, explore the Intel Student Ambassador Program. For software educators willing to integrate industry-standard heterogeneous computing resources into institutions’ STEM courses, check out our Educator Program.
Additional Resources
Technical Software Product Marketing Engineer, Intel
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