Distributed AI
Distributed AI
✓

E5: Efficient and Trustworthy AI

00:23:28
Podcasts
RSS
Link

SOBRE ESTE EPISÓDIO

E5: Efficient and Trustworthy AI

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 efficient and trustworthy AI. The conversation delves into her Ph.D. thesis on improving communication efficiency in federated learning, her innovative approaches to model sparsification and quantization, and her current work at Google Research. This episode offers valuable insights into the challenges and opportunities in distributed learning and its transformative potential across industries.

This episode is brought to you by BevelCloud—empowering the future of distributed AI in healthcare. Learn more at BevelCloud.ai.

Tecnologia
Inglês
Estados Unidos da América
UseAPIpara buscar este episódio emJSON

NESTE EPISÓDIO

Editar estas etiquetas

TRANSCRIÇÃO 🔗

Are you the producer of this podcast? Add a podcast transcript
Need Audio-to-Text? Transcribe with Listen411 in Just 60 Seconds

PESQUISAR EPISÓDIOS PASSADOS

Pesquisar episódios anteriores de Distributed AI.
Incorpore esta barra de pesquisa ao seu site

OUTROS EPISÓDIOS NESTE PODCAST

E1: Protecting Privacy in AI: Prashant Shah on Confidential Computing and Federated Learning

E1: Protecting Privacy in AI: Prashant Shah on Confidential Computing and Federated Learning

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…
00:23:17
PARTILHAR
GUARDAR
E2: Scaling AI with Federated Learning: Insights from Dr. Nic Lane

E2: Scaling AI with Federated Learning: Insights from Dr. Nic Lane

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…
00:24:08
PARTILHAR
GUARDAR
E7: Future of AI, Distributed Computing, and Innovation at Hewlett Packard Labs

E7: Future of AI, Distributed Computing, and Innovation at Hewlett Packard Labs

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…
00:23:02
PARTILHAR
GUARDAR
E6: Democratizing AI Infrastructure

E6: Democratizing AI Infrastructure

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…
00:26:26
PARTILHAR
GUARDAR
Aviso: O podcast e a arte incorporada nesta página são de BevelCloud, que é propriedade de seu proprietário e não é afiliado ou endossado por Listen Notes, Inc.
PROMOTED
Listen411.com: Lightning-fast Podcast Transcription and Summarization. Transcribe 1-hour audio in under 1 minute. Pay-as-you-go.
Listen411.com: Lightning-fast Podcast Transcription and Summarization. Transcribe 1-hour audio in under 1 minute. Pay-as-you-go.
Audio to Text

RECOMENDAÇÕES
Use a API para ir buscar este episódio