Despite decades of research proving their value at work, emotions remain one of the most undervalued—and misunderstood—resources available to leaders. Too many leaders still believe that emotions ...

Colin is an Associate Editor focused on tech and financial news. He has more than three years of experience editing, proofreading, and fact-checking content on current financial events and politics.

“Hello people from the future!” That’s how Sujan Dutta starts all his YouTube videos before he unpacks the complexities of artificial intelligence (AI). The RIT computing and information sciences Ph.D ...

The start of another fall semester approaches and wary eyes once again turn to course policies about the use of generative AI. For a lot of faculty members, the last two years have been marked by ...

Abstract: General spectral Clustering(SC) algorithms employ top eigenvectors of normalized Laplacian for spectral rounding. However, recent research has pointed out that in case of noisy and sparse ...

Transforming a dataset into one with fewer columns is more complicated than it might seem, explains Dr. James McCaffrey of Microsoft Research in this full-code, step-by-step machine learning tutorial.

Principal component analysis (PCA) is a classical machine learning technique. The goal of PCA is to transform a dataset into one with fewer columns. This is called dimensionality reduction. The ...

L The graph laplacian calculated with sym_normalized_graph_laplacian function. X The NxM trait data matrix, where N and M are the number of samples and traits, respectively. m A value specifying that ...