Major Transitions in AI
Major transitions in computational evolution are beginning to mirror those seen in biology, with an emphasis on open-ended discovery. This process involves gradually increasing the complexity of problems, akin to curriculum learning, where environments evolve alongside solutions. By introducing new challenges, such as sophisticated opponents in games, the potential for continuous learning and adaptation expands significantly.In this clip
From this podcast
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
The Evolution of Evolutionary AI with Risto Miikkulainen - #367
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