Instead of bending a training-centric design, we must start with a clean sheet and apply a new set of rules tailored to ...

Ziwei Zhu, Assistant Professor, Computer Science, College of Engineering and Computing (CEC), received funding for the project: “III: Small: Harnessing Interpretable Neuro-Symbolic Learning for ...

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 ...

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

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

Ernst & Young LLP (EY) has launched EY Growth Platforms (EYGP), a new artificial intelligence enabled solution powered by ...

Yann LeCun, Chief AI Scientist at Meta, believes LLMs are doomed due to their inability to represent the high-dimensional ...

The Journal of Symbolic Logic (JSL) was founded in 1936 and it has become the leading research journal in the field. It is issued quarterly. Volume 71, being published during 2006, will consist of ...

Hallucination is fundamental to how transformer-based language models work. In fact, it's their greatest asset.

By exploring Eno’s cards function in relation to human creativity and machine intelligence, we can draw a historical and ...