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 ...

Explore the importance of robust statistics like median and MAD in data analysis, ensuring accurate insights despite outliers ...

Caroline Uhler is an Andrew (1956) and Erna Viterbi Professor of Engineering at MIT; a professor of electrical engineering and computer science in the ...

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 ...

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

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

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

Researchers in the University of York's Department of Sociology will lead one of the first large-scale, systematic social science studies of synthetic ...

Government procurement contracts can be complicated, with extensive risk analysis and compliance reviews. The traditional methods of contract analytics are time-consuming and often inexact, thus ...