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 about them.

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Continue reading AI Today Podcast: AI Glossary Series – Convolutional Neural Network (CNN) at Cognilytica.

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 and why it’s important to know about them.

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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 podcast hosts Kathleen Walch and Ron Schmelzer define the term Feed-Forward Neural Network, explain how these terms relate to AI and why it’s important to know about them.

Continue reading AI Today Podcast: AI Glossary Series – Feed-Forward Neural Network at Cognilytica.

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, or a combination of different types. In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define the terms “Ground Truth” Data and Synthetic Data, explain how these terms relate to AI and why it’s important to know about them.

Continue reading AI Today Podcast: AI Glossary Series – “Ground Truth” Data and Synthetic Data at Cognilytica.

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 know about them.

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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, and as the size and complexity of these models continue to grow, so does the need for more storage. Storage considerations are critical for both the training and the deployment of AI models.

Continue reading AI Today Podcast: Why Data Storage Matters When it Comes to AI: Interview with Justin Emerson, Pure Storage at Cognilytica.

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 know about them.

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Continue reading AI Today Podcast: AI Glossary Series – CPU, GPU, TPU, and Federated Learning at Cognilytica.

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 about them.

Want to dive deeper into an understanding of artificial intelligence, machine learning, or big data concepts? Want to learn how to apply AI and data using hands-on approaches and the latest technologies?

Continue reading AI Today Podcast: AI Glossary Series – Tokenization and Vectorization at Cognilytica.

In order for machine learning systems to work they need to be trained on data. But as the old saying goes “garbage in is garbage out” so you need to make sure you have a dataset of prepared data that is cleaned so you can incrementally train a machine learning model to perform a particular task.

Continue reading AI Today Podcast: AI Glossary Series – Training Data, Epoch, Batch, Learning Curve at Cognilytica.

Backpropagation was one of the innovations by Geoff Hinton that made deep learning networks a practical reality. But have you ever heard of that term before and know what it is at a high level? In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define the terms Backpropagation, Learning Rate, and Optimizer, explain how these terms relates to AI and why it’s important to know about them.

Continue reading AI Today Podcast: AI Glossary Series – Backpropagation, Learning Rate, and Optimizer at Cognilytica.