How AI and Crowdsourcing Can Advance mRNA Vaccine Distribution

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Artificial intelligence is teaming up with crowdsourcing to improve the thermo-stability – the ability to avoid breaking down under heat stress –  of mRNA vaccines, making distribution more accessible worldwide.

In this episode of NVIDIA’s AI Podcast, host Noah Kravitz interviewed Bojan Tunguz, a physicist and senior system software engineer at NVIDIA, and Johnny Israeli, senior manager of AI and cloud software at NVIDIA.

The guests delved into AI’s potential in drug discovery and the Stanford Open Vaccine competition, a machine-learning contest using crowdsourcing to tackle the thermo-stability challenges of mRNA vaccines.

Kaggle, the online machine learning competition platform, hosted the Stanford Open Vaccine competition. Tunguz, a quadruple Kaggle grandmaster, shared how Kaggle has grown to encompass not just competitions, but also datasets, code and discussions. Competitors can earn points, rankings and status achievements across these four areas.

The fusion of AI, crowdsourcing and machine learning competitions is opening new possibilities in drug discovery and vaccine distribution. By tapping into the collective wisdom and skills of participants worldwide, it becomes possible to solve pressing global problems, such as enhancing the thermo-stability of mRNA vaccines, allowing for a more efficient and widely accessible distribution process.

The AI Podcast · Bojan Tunguz, Johnny Israeli on How AI and Crowdsourcing Can Advance Vaccine Distribution – Ep. 195

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