Abstract: Cryptographic techniques are reviewed in this literature review, with particular attention paid to their applicability, importance, contributions, and field strengths. These algorithms ...

Personalized algorithms may quietly sabotage how people learn, nudging them into narrow tunnels of information even when they start with zero prior knowledge. In the study, participants using ...

This article was co-authored with Emma Myer, a student at Washington and Lee University who studies Cognitive/Behavioral Science and Strategic Communication. In today’s digital age, social media has ...

In a finding that challenges decades of assumptions about blood cancer, an international research team has shown for the first time that a specific subtype of diffuse large B cell lymphoma (DLBCL), ...

Abstract: Efficient factorization of low-rank matrices have become crucially important in modern machine learning applications. In this paper, we present a randomized, rank-revealing QLP algorithm, ...