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 ...

National University Hospital CMIO Dr Ling Zheng Jye outlines the changes necessary for the National University Health System to effectively use data to bring forth innovations in quality and patient ...

Over a quarter of Americans live paycheck to paycheck and have less than $1,000 in emergency savings. This means there’s no buffer when the car breaks down or an unexpected hospital bill hits.

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 ...

Finding a YouTube video that truly matches our interests can sometimes be a challenge. The video-sharing platform appears to have recognized this issue and is taking steps to address it with its new ...

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 ...

SoundCloud and Subtext have announced a new partnership that enables artists to build direct fan relationships and generate revenue through SMS messaging campaigns. The collaboration provides ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Clustering techniques are consolidated as a powerful strategy for analyzing the ...

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 ...

PSMA-based PET imaging in newly diagnosed, high-risk localized prostate cancer, a National Cancer Institute (NCI) Cancer Moonshot trial. This is an ASCO Meeting Abstract from the 2025 ASCO ...

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 ...