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Super Data Science: ML & AI Podcast with Jon Krohn
Exploring AI Models and Adversarial Examples in Neural Networks
The chapter discusses the potential of using AI models to process archive papers and creating quality content for a YouTube channel focused on discussing papers. It delves into the concept of adversarial examples in neural networks, explaining how imperceptible changes can deceive the network into misclassifying images and the ongoing challenge of mitigating these attacks while maintaining model accuracy. Additionally, the conversation touches on concerns about flaws in modern AI systems, deepfakes, advancements in AI and machine learning research, and the evolving landscape of automation.
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