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 ...

Recently, researchers introduced a new representation learning framework that integrates causal inference with graph neural networks—CauSkelNet, which can be used to model the causal relationships and ...

In today's data-rich environment, business are always looking for a way to capitalize on available data for new insights and ...

For pregnant women, ultrasounds are an informative (and sometimes necessary) procedure. They typically produce ...

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

US healthcare revenue cycle management provider Coronis Health has partnered with Kipi to reconstruct its data warehouse on ...

But, more data does not equal better data. As companies collect vast volumes of data, the signal-to-noise ratio drops. It is ...

This column explores how to protect against the risks of AI in legal confidentiality and non-disclosure agreements (NDAs).

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

CISA’s new roadmap for the CVE program is more than just a federal initiative; it’s a strategic move that reflects the urgent ...

For the past four months, I’ve been busy at work completing a major release in our algorithmic distribution platform that ...

Language models seem to be more than stochastic parrots. Does this knowledge stop them from making mistakes, or do they need ...