Data Scientist Ke Zhang’s Research Explores Homomorphic Encryption for Privacy-Preserving Marketing

A privacy-preserving marketing framework applies homomorphic encryption to perform machine learning on encrypted consumer data. By combining ...
GitHub

A robust and fast clustering method for amplicon-based studies.

The purpose of swarm is to provide a novel clustering algorithm that handles massive sets of amplicons. Results of traditional clustering algorithms are strongly input-order dependent, and rely on an ...
The Straits Times

The best AI tutor for O-level subjects: ChatGPT, Gemini or The Wise Otter?

SINGAPORE - Students are increasingly relying on artificial intelligence (AI) tutors for their daily work. Besides mainstream tools such as Google’s Gemini and OpenAI’s ChatGPT, the latest contender ...
The Straits Times

‘What kind of person will do this?’: Shanmugam condemns abuse, killing of Yishun community cat

SINGAPORE – Law and Home Affairs Minister K. Shanmugam condemned the gruesome killing of a community cat in Yishun, which was found on the morning of May 9 disembowelled, and with its eyes gouged out.
PNAS

Single-cell analysis via manifold fitting: A framework for RNA clustering and beyond

Contributed by Shing-Tung Yau; received January 29, 2024; accepted July 19, 2024; reviewed by Stephan Huckemann and Jingyi Jessica Li Single-cell RNA sequencing (scRNA-seq) analysis, crucial for ...
Visual Studio Magazine

Clustering Mixed Categorical and Numeric Data Using k-Means with C#

Dr. James McCaffrey of Microsoft Research presents a full-code, step-by-step tutorial on a "very tricky" machine learning technique. Data clustering is the process of grouping data items together so ...
PNAS

Genetic algorithms reveal profound individual differences in emotion recognition

We developed a genetic algorithm tool allowing users to refine depictions of facial expressions until they reach what they think the expression reflecting a particular emotion should look like. The ...
GitHub

clusterBMA: Bayesian Model Averaging for Clustering

clusterBMA is an R package for Bayesian Model Averaging (BMA) to combine multiple sets of clustering results for a given dataset, that can combine results across multiple different clustering ...