Welcome back to Artificially Unintelligent. In this episode, we dive into AGI. Today will be more of a high level discussion, but we also touch on current AIs that show a glimpse of AGI like agents and LLMs. Jump right in!

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Welcome back to Artificially Unintelligent. In this episode, we dive into Synthetic Data. Have you ever struggled to find enough training data for your models? Tired of manually labeling hundreds of data points? Then dive right in. Learn what synthetic data is and how you can use it in your next project.

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Welcome back to Artificially Unintelligent. In this episode, we dive into AI in Sports. We have come a long way since Moneyball, which introduced statistical analysis into Baseball. Now we have advanced sports analytics giving insights into the perfect shot a basketball player can take, how an athlete can squeeze the last ounce of performance out of his body and much more.

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In today’s episode, we're exploring the revolutionary impact of Artificial Intelligence in reshaping the educational landscape.

Ever wondered how chatbots are making learning more interactive and engaging? Or how AI is enabling personalized learning experiences, adapting to individual needs, learning styles, and paces? We’re diving into all this and more!

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In today’s pod, we will discuss different study formats and methodologies. How can you research and validate different AI models? What studies would we like to see more of? Jump in to learn more.

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In today’s pod, we discuss the state of AI. What are the current developments in research and industry? What are our predictions for the near future of AI?

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In today’s pod, we will take a first look at federated learning, where many different devices train AI without sharing their data. We will look at how it differs from traditional machine learning, how the architecture is designed, and some practical applications of federated learning in various industries. Now that we have set the stage, let’s dive right in.

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Welcome to today's episode where we dive into Gartner Hype Cycle! The Gartner Hype Cycle shows the life cycle stages that emerging technologies typically go through on their path to customer adoption, from the initial "Innovation Trigger" to the eventual "Plateau of Productivity.”

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Welcome to today's episode where we dive into the world of data collection! From surveys to data mining, discover how varied methodologies shape our datasets. Let's explore together how the art and science, the qualitative and quantitative of data collection forge the insights that shape our world!

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Welcome to today’s episode where focusing on the transition training neural nets to pre-training & fine-tuning! This transition symbolizes the next frontier in AI, refining models to comprehend and adapt more efficiently and effectively. We’re diving deep to explore how pre-training and fine-tuning are reshaping our approach to solving complex problems and accelerating innovation in various fields.

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