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Trustworthy AI Lab x GES UCLA Hackathon Recap

DoraHacks
特邀专栏作者
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Seek scalable, innovative solutions that respect data privacy and support real-time performance.
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Seek scalable, innovative solutions that respect data privacy and support real-time performance.

Hackathon Summary

The Trustworthy AI Lab x GES UCLA Hackathon showcased innovative solutions from nine projects registered by 21 developers. The virtual event, held from May 29 to June 28, 2024, focused on using predictive models to enhance user engagement and advertising effectiveness. Two detailed datasets provided insights into user demographics and interactions, laying the foundation for participants to create platforms that facilitate collaboration between content creators and advertisers while ensuring a positive user experience.

Projects were evaluated by a panel of judges consisting of academics such as Professor Guang Cheng and industry experts from companies such as Amazon, Snap, Intel, and others. The total prize pool is $1,500 and is distributed among the top solutions, evaluated based on criteria such as accuracy, innovation, scalability, and efficiency. In addition, the event offers summer internship opportunities at UCLA's Trustworthy AI Lab, allowing participants to further develop their skills. While emphasizing practical applications, projects are required to provide runnable machine learning code and presentation slides, with the ultimate goal of seeking scalable and innovative solutions that respect data privacy and support real-time performance.

Hackathon Winners

Prize Winners

First Place

• DataGuardians excels in secure data processing, achieving a balance between data security and availability by creating synthetic datasets using VMs and GANs.

Second Place

• Team BitBuilders has developed a generative AI-based data sharing platform that improves predictive analytics and data collaboration through privacy-preserving techniques and advanced encryption.

Third Place

• Team Datacrafters focuses on advertising data analysis using machine learning and automated DCR security improvements, optimizing model performance to gain statistical insights.

Fourth Place

• Awesome Team Name’s BUIDL uses TPM for secure data modeling, emphasizing the reliability and confidentiality of data operations.

Fifth Place

• ColumbiAI improves the accuracy of scientific predictions through secure generative AI and establishes a “data clean room” for privacy-preserving collaborative data analysis.

For more information on all projects, visit here .

About the Organizer

GES at UCLA

GES at UCLA, formerly known as Three Day StartUp at UCLA, is a leading entrepreneurship program tailored for college students. It emphasizes experiential learning in important areas such as ideation, team formation, market research, and rapid prototyping. The program fosters an entrepreneurial mindset and equips students with the skills to develop innovative business models with global impact. By supporting its student community, GES at UCLA is dedicated to transforming entrepreneurial concepts into sustainable enterprises, helping solve complex problems and launch successful businesses around the world. For more details, visit their website .

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