AI Today Podcast: Insights into the AI Startup Scene: Interview with Alexandra Petrus, host of the Applied AI Pod

AI Today Podcast: Insights into the AI Startup Scene: Interview with Alexandra Petrus, host of the Applied AI Pod

On the AI Today podcast we regularly interview thought leaders who are implementing AI and cognitive technology at various companies and agencies. However in this episode hosts Kathleen Walch and Ron Schmelzer interview Alexandra Petrus, host of the Applied AI Pod. On her podcast she talks to anyone who is applying AI today including startup founders, startup engineers, AI community leaders, research scientists, innovation leaders, product builders, passionate AI practitioners. Continue readi...

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AI Today Podcast: AI Glossary Series – Convolutional Neural Network (CNN)

AI Today Podcast: AI Glossary Series – Convolutional Neural Network (CNN)

In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define the term Convolutional Neural Network (CNN), explain how these terms relate to AI and why it’s important to know a...

24 Maj 202314min

AI Today Podcast: AI Glossary Series – Recurrent Neural Networks (RNN) and Long-Short Term Memory (LSTM)

AI Today Podcast: AI Glossary Series – Recurrent Neural Networks (RNN) and Long-Short Term Memory (LSTM)

In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define the terms Recurrent Neural Networks (RNN) and Long-Short Term Memory (LSTM), explain how these terms relate to AI ...

19 Maj 202310min

AI Today Podcast: AI Glossary Series – Feed-Forward Neural Network

AI Today Podcast: AI Glossary Series – Feed-Forward Neural Network

Usually used as a simple example for how deep learning neural networks work, a feed-forward neural network is the most basic, “vanilla” general kind of neural network. In this episode of the AI Today ...

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AI Today Podcast: AI Glossary Series – “Ground Truth” Data and Synthetic Data

AI Today Podcast: AI Glossary Series – “Ground Truth” Data and Synthetic Data

In order for machine learning systems to work, they need to be trained on data. But there are different types of data and depending on the situation you may want to use one type of data over another, ...

12 Maj 20239min

AI Today Podcast: AI Glossary Series – Pre-Trained Model and Transfer Learning

AI Today Podcast: AI Glossary Series – Pre-Trained Model and Transfer Learning

In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define the terms Pre-Trained Model and Transfer Learning, explain how these terms relate to AI and why it’s important to ...

10 Maj 20238min

AI Today Podcast: Why Data Storage Matters When it Comes to AI: Interview with Justin Emerson, Pure Storage

AI Today Podcast: Why Data Storage Matters When it Comes to AI: Interview with Justin Emerson, Pure Storage

As AI applications become more complex and data-intensive, the need for scalable and efficient storage solutions becomes increasingly important. AI models require vast amounts of data to be processed,...

8 Maj 202330min

AI Today Podcast: AI Glossary Series – CPU, GPU, TPU, and Federated Learning

AI Today Podcast: AI Glossary Series – CPU, GPU, TPU, and Federated Learning

In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define the terms CPU, GPU, TPU, and Federated Learning, explain how these terms relate to AI and why it’s important to kn...

5 Maj 202311min

AI Today Podcast: AI Glossary Series – Tokenization and Vectorization

AI Today Podcast: AI Glossary Series – Tokenization and Vectorization

In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define the terms Tokenization and Vectorization, explain how these terms relates to AI and why it’s important to know abo...

3 Maj 202311min

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