AI Today Podcast

Large Language Models (LLMs) are all the rage these days. It’s hard to have a conversation about AI without ChatGPT, Google Bard, or LLMs being brought up. However, what if these LLMs could learn more about you individually and provide a much more hyperpersonalized experience and responses?! In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer interview Dmitry Shapiro who is CEO of YouAi.Continue reading AI Today Podcast: Digitizing the Mind: Interview with Dmitry Shapiro, YouAi at Cognilytica.

Transformer models have proven to be especially powerful for Natural Language Processing applications and image generation, and have been popularized by models such as GPT-3, Stable diffusion, and BERT. In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define the term Transformer Networks, explain how these terms relate to AI and why it’s important to know about them.Continue reading AI Today Podcast – AI Glossary Series: Transformer Networks at Cognilytica.

In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define the term Boltzmann Machine, explain how these terms relate 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 – Boltzmann Machine at Cognilytica.

In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define the terms Decoder, AutoEncoder, Generative Adversarial Network (GAN), explain how these terms relate 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?Continue reading AI Today Podcast: AI Glossary Series – Encoder-Decoder, AutoEncoder, and Generative Adversarial Network (GAN) at Cognilytica.

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.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 – 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.Want to dive deeper into an understanding of artificial intelligence, machine learning, or big data concepts?Continue reading AI Today Podcast: AI Glossary Series – Recurrent Neural Networks (RNN) and Long-Short Term Memory (LSTM) at Cognilytica.

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.Want to dive deeper into an understanding of artificial intelligence, machine learning, or big data concepts?Continue reading AI Today Podcast: AI Glossary Series – Pre-Trained Model and Transfer Learning at Cognilytica.

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.