We're sunsetting PodQuest on 2025-07-28. Thank you for your support!
Export Podcast Subscriptions

AI Today Podcast: Artificial Intelligence Insights, Experts, and Opinion

AI Today Podcast

Episodes

Total: 722

In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define the terms Deco

In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define the terms Deco

In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define the term Convo

In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define the term Convo

In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define the terms Recu

In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define the terms Recu

Usually used as a simple example for how deep learning neural networks work, a feed-forward neural n

Usually used as a simple example for how deep learning neural networks work, a feed-forward neural n

In order for machine learning systems to work, they need to be trained on data. But there are differ

In order for machine learning systems to work, they need to be trained on data. But there are differ

In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define the terms Pre-

In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define the terms Pre-

As AI applications become more complex and data-intensive, the need for scalable and efficient stora

In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define the terms CPU,

In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define the terms CPU,

In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define the terms Toke

In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define the terms Toke

In order for machine learning systems to work they need to be trained on data. But as the old saying

In order for machine learning systems to work they need to be trained on data. But as the old saying

Backpropagation was one of the innovations by Geoff Hinton that made deep learning networks a practi