Humans rely on abstraction and conceptual frameworks, whereas AI systems apply statistical or rule-based methods, each with limits. Bridging these approaches could pave the way for more flexible, ...

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 ...

Neural networks have revolutionised the landscape of machine learning, yielding unprecedented performance in complex tasks ranging from image recognition to natural language processing. At the heart ...

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

Imagine you are developing antibodies—drugs precisely aimed at a target, for example a viral protein or onco-marker. You test a series of antibodies and find that some work, while others do not.

Machine learning has a wide range of applications in the finance, healthcare, marketing and transportation industries. It is used to analyze and process large amounts of data, make predictions, and ...