A privacy-preserving marketing framework applies homomorphic encryption to perform machine learning on encrypted ...

Abstract: Data clustering is a fundamental machine learning task that seeks to categorize a dataset into homogeneous groups. However, real data usually contain noise, which poses significant ...

Abstract: In this article, we propose a novel algorithm to obtain a solution to the clustering problem with an additional constraint of connectivity. This is achieved by suitably modifying K-Means ...

The subthalamic nucleus contains subpopulations with different contributions to deliberative decision-making based on noisy evidence and reward-driven preferences.

Probabilistic models, such as hidden Markov models or Bayesian networks, are commonly used to model biological data. Much of their popularity can be attributed to the existence of efficient and robust ...

SINGAPORE – The share of families with monthly incomes of at least $30,000 has almost doubled in the past five years, with about one in seven households earning this amount in 2025. In 2025, 13.4 per ...

Objectives Elective non-emergent surgical wait times have increased across countries such as Canada, straining operating room ...

Today:Early fog in the far southwest clears quickly. Most areas stay dry with sunshine and variable cloud, though northern and northeastern regions may see isolated showers. Light winds overall, ...

Anthropic Fable dispute suggests ‘export’ no longer means what it used to Technology export rules have historically applied to transfer of source code, but with genAI, agentic and other SaaS ...

This is a tentative schedule and is subject to change. Please note that Youtube takes some time to process videos before they become available.

The project automatically fetches the latest papers from arXiv based on keywords. The subheadings in the README file represent the search keywords. Only the most recent articles for each keyword are ...