Humans rely on abstraction and conceptual frameworks, whereas AI systems apply statistical or rule-based methods, each with ...

How do humans manage to adapt to completely new situations and why do machines so often struggle with this? This central question is explored by researchers from cognitive science and artificial ...

Inductive logic programming (ILP) and machine learning together represent a powerful synthesis of symbolic reasoning and statistical inference. ILP focuses on deriving interpretable logic rules from ...

Unsupervised, model-free method preserves key data better than traditional statistical techniques for next generation cognitive ML for multi-modal data. These methods prove the utility of algorithmic ...

Bielefeld researchers analyze in “Nature Machine Intelligence” how humans and AI systems learn new things and what this means ...

ThesmallconferenceroomatDartmouthin1956litupthephrase'artificialintelligence.'Nearlyseventyyearslater,we… ...

Cognitive computing is a key driver in improving artificial intelligence by enabling machines to reason and process ...

Ernst & Young LLP has launched EY Growth Platforms, a new enterprise solution built on neurosymbolic AI that blends machine learning with sym ...