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 ...

Machine-learning models identify relationships in a data set (called the training data set) and use this training to perform operations on data that the model has not encountered before. This could ...

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 ...

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

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

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

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

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 ...

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