What insights can the Kidd Lab provide for creators of neural networks?

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SUMMARY

Celeste Kidd, a developmental psychologist at the University of California, Berkeley, leads the Kidd Lab, which focuses on understanding children's learning processes. The insights gained from Kidd Lab's research are directly applicable to the development of neural networks, as they highlight methods of training models akin to child-rearing techniques. This approach emphasizes the importance of nurturing and guiding AI systems to enhance their learning capabilities, paralleling the developmental stages of children.

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TL;DR
AI is no longer poised to change the world someday; it’s changing the world now. As we begin a new year and decade, VentureBeat turned to some of the keenest minds in AI to revisit progress made in 2019 and look ahead to how machine learning will mature in 2020.

We spoke with PyTorch creator Soumith Chintala, University of California professor Celeste Kidd, Google AI chief Jeff Dean, Nvidia director of machine learning research Anima Anandkumar, and IBM Research director Dario Gil.
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Pretty appropriate how Dr. Kidd named the lab that she founded at UC Berkeley... :smile:

Celeste Kidd

Developmental psychologist at the University of California, BerkeleyCeleste Kidd is director of Kidd Lab at the University of California, Berkeley, where she and her team explore how kids learn. Their insights can help the creators of neural networks who are attempting to train models in ways not too dissimilar to raising a child.
 
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