ÜBER DIESE EPISODE
In this episode of the Distributed AI Podcast, Timothy Chou speaks with Dr. Graham Jones of Novartis about how federated learning and digital biomarkers could transform drug development for Parkinson’s disease. The conversation explores the origins of a landmark Nature paper, the challenges of sharing data across pharma, foundations, and academia, and a long-term vision for using home-based, longitudinal data to accelerate discovery, improve clinical trials, and bring meaningful therapies to patients faster.
This episode is brought to you by BevelCloud—empowering the future of distributed AI in healthcare. Learn more at BevelCloud.ai.
Englisch
Vereinigte Staaten
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WEITERE EPISODEN IN DIESEM PODCAST
In this episode of the Distributed AI Podcast, Timothy Chou sits down with Dr. Berivan Isik, a recent Ph.D. graduate from Stanford University and a research scientist at Google. Dr. Isik shares her journey from Turkey to Stanford, her pioneering work on federated learning, and her focus on efficien…
Our guest Dr. Nic Lane, co-founder of Flower Labs and professor at Cambridge, discusses the growing role of Federated learning in AI. He explains how distributed AI can unlock vast amounts of data while ensuring privacy, and how it will play a critical role in scaling AI models across industries su…
In this episode of the Distributed AI Podcast, host Timothy Chou sits down with Andrew Wheeler, Director of Hewlett Packard Labs, to explore the forefront of AI and distributed computing. They discuss HPE’s advancements in AI supercomputing, distributed AI workflows, and the transformative potentia…
Our guest Hina Dixit, co-founder and CEO of Decomp Compute, discusses her journey from leading investments at Microsoft’s M12 and Samsung Next to founding a company that aims to revolutionize AI infrastructure. Hina shares insights into the challenges of heterogeneity in AI compute, the inspiration…
Our guest Prashant Shah, Chief Technology Officer of Federated Machine Learning at Intel, discusses the transformative power of Federated learning and confidential computing in healthcare. He explores how these technologies enable secure collaboration on sensitive healthcare data, driving innovatio…
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