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Join Ads Marketplace to earn through podcast sponsorships.
Manage your ads with dynamic ad insertion capability.
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Earn rewards and recurring income from Fan Club membership.
Get the answers and support you need.
Resources and guides to launch, grow, and monetize podcast.
Stay updated with the latest podcasting tips and trends.
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Podcast interviews, best practices, and helpful tips.
The step-by-step guide to start your own podcast.
Create the best live podcast and engage your audience.
Tips on making the decision to monetize your podcast.
The best ways to get more eyes and ears on your podcast.
Everything you need to know about podcast advertising.
The ultimate guide to recording a podcast on your phone.
Steps to set up and use group recording in the Podbean app.
In this episode of ACM ByteCast, Rashmi Mohan hosts 2021 ACM Fellow Edward Y. Chang, an Adjunct Professor in the Department of Computer Science at Stanford University. Prior to this role, he was a Director of Google Research and President of HTC Healthcare, among other roles. He is the Founder and CTO of Ally.ai, an organization making groundbreaking moves in the field using Generative AI technologies in various applications, most notably healthcare, sales planning, and corporate finance. He’s an accomplished author of multiple books and highly cited papers whose many awards and recognitions include the Google Innovation Award, IEEE Fellow, Tricorder XPRIZE, and the Presidential Award of Taiwan. Edward also also credited as the inventor of the digital video recorder (DVR), which replaced the traditional tape-based VCR in 1999 and introduced interactive features for streaming videos.
Edward, who was born in Taipei, discusses his career, from studying Operations Research at UC Berkeley to graduate work at Stanford University, where his classmates included the co-founders of Google and where his PhD dissertation focused on on a video streaming network that became DVR. Later, at Google, he worked on developing the data-centric approach to machine learning, and led development of parallel versions of commonly used ML algorithms that could handle large datasets, with the goal of improving the ML infrastructure accuracy to power Google’s multiple functions. He also shares his work at HTC in Taipei, which focused on healthcare projects, such as using VR technology to scan a patient’s brain; as well as his current interest, studying AI and consciousness. He talks about the challenges he’s currently facing in developing bleeding edge technologies at Ally.ai and addresses a fundamental question about the role of human in a future AI landscape.
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