Large language models are evolving from answer engines into conversational partners that shape decisions by asking their own questions. Research comparing more than 1,600 executives with 13 leading ...

ContrastConnect has published a guide to clarify the differences between direct and general supervision for contrast-enhanced imaging procedures, addressing common questions among imaging center ...

Abstract: Most clustering algorithms require setting one or more parameters, which rely on prior knowledge or are constantly adjusted based on external indicators. To address the issues of requiring ...

Algorithms, examples and tests for denoising, deblurring, zooming, dequantization and compressive imaging with total variation (TV) and second-order total generalized variation (TGV) regularization.

Abstract: The projected clustering (PROCLUS) algorithm is a subspace clustering algorithm based on the k-medoids clustering approach. It is designed to address the challenges of irrelevant received ...

Many modern clustering methods scale well to a large number of data items, N, but not to a large number of clusters, K. This paper introduces PERCH, a new non-greedy algorithm for online hierarchical ...

ABSTRACT: Predicting the material stability is essential for accelerating the discovery of advanced materials in renewable energy, aerospace, and catalysis. Traditional approaches, such as Density ...

Aligning large language models (LLMs) with human values remains difficult due to unclear goals, weak training signals, and the complexity of human intent. Direct Alignment Algorithms (DAAs) offer a ...

Threat actors on X are exploiting the news around Ross Ulbricht to direct unsuspecting users to a Telegram channel that tricks them into run PowerShell code that infects them with malware. However, ...