Brain Inspired AI
Data Skeptic11 Juli 2023

Brain Inspired AI

Today on the show, we are joined by Lin Zhao and Lu Zhang. Lin is a Senior Research Scientist at United Imaging Intelligence, while Lu is a Ph.D. candidate at the Department of Computer Science and Engineering at the University of Texas. They both shared findings from their work When Brain-inspired AI Meets AGI.

Lin and Lu began by discussing the connections between the brain and neural networks. They mentioned the similarities as well as the differences. They also shared whether there is a possibility for solid advancements in neural networks to the point of AGI. They shared how understanding the brain more can help drive robust artificial intelligence systems.

Lin and Lu shared how the brain inspired popular machine learning algorithms like transformers. They also shared how AI models can learn alignment from the human brain. They juxtaposed the low energy usage of the brain compared to high-end computers and whether computers can become more energy efficient.

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Measuring Trust in Robots with Likert Scales

Measuring Trust in Robots with Likert Scales

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Bot Detection and Dyadic Surveys

Bot Detection and Dyadic Surveys

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6 Mars 202335min

Reproducible ESP Testing

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20 Feb 202347min

A Survey of Data Science Methodologies

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Opinion Dynamics Models

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6 Feb 202335min

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