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Visual Compositionality as a Case Study for Building AI Models to Produce Human Behavior

NYU Center for Data Science

As part of a symbiotic research agenda emblematic of CDS wherein human and machine intelligence is explored in tandem, a recent paper published in Cognition by CDS PhD student Yanli Zhou investigates how both humans and AI models achieve visual compositionality.

AI 90
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A new, better way to build Neural Networks for Machine Learning

Mlearning.ai

How taking inspiration from the design of our brains can lead to AI with better performance, for cheaper. Sure, it might work for biological systems, but what do we hope to attain by implementing a similar idea for our ANNs? Put plainly, every model/architecture decision imposes a certain inductive bias onto our system.