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Introduction Scaling up machine learning models – in terms of model size, dataset size, and compute – has led to dramatic improvements in performance on language and vision tasks. In recent years, researchers have observed striking neural scaling laws: empirical relationships showing that as we
Robots in unstructured spaces, such as homes, have struggled to generalize across unpredictable settings. In this context, a few projects stand out more than the rest – for example, the Everyday Robot project at Google X and Figure’s 01 home robot. After being tied to
Sagar Manglani
manglanisagar@gmail.com
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I write articles on computer vision and robotics.
