The abilities to form and abstract concepts is key to human intelligence...
In September 2021, the "One Hundred Year Study on Artificial Intelligenc...
In April of 2022, the Santa Fe Institute hosted a workshop on embodied,
...
A long-held objective in AI is to build systems that understand concepts...
We characterise the problem of abstraction in the context of deep
reinfo...
In August of 2021, the Santa Fe Institute hosted a workshop on collectiv...
In July of 2021, the Santa Fe Institute hosted a workshop on evolutionar...
Adversarial examples for neural network image classifiers are known to b...
In March of 2021, the Santa Fe Institute hosted a workshop as part of it...
Since its beginning in the 1950s, the field of artificial intelligence h...
Conceptual abstraction and analogy-making are key abilities underlying
h...
Neural networks trained on visual data are well-known to be vulnerable t...
The history of AI has included several "waves" of ideas. The first wave,...
We revisit a particular visual grounding method: the "Image Retrieval Us...
We describe a novel architecture for semantic image retrieval---in
parti...
Deep Convolutional Neural Networks (DCNN) require millions of labeled
tr...
We devise an algorithm using a Bayesian optimization framework in conjun...
A major goal of computer vision is to enable computers to interpret visu...
We describe a method for performing active localization of objects in
in...