On large data To launch hierarchical k-means on large data, we need to prepare a config file. We provide below an example illustrating how to launch a 2-level hierarchical k-means on random embeddings ...

Embracing information management as a cornerstone of AI-driven progress is the key to achieving the level of product excellence that once seemed like science fiction.

The researchers found that people often summarize entire episodes of a story into single sentences, leading to the conclusion that narratives are stored in memory as tree structures. In this model, ...

Humans can remember various types of information, including facts, dates, events and even intricate narratives. Understanding ...

The Board of Governors, the highest decision-making body of the IMF, consists of one governor and one alternate governor for each member country. The governor is appointed by the member country and is ...

Seabed-origin oil spills pose distinct challenges in marine pollution management due to their complex transport dynamics and ...

Federated learning (FL) is a distributed machine learning technique that guarantees the privacy of user data. However, FL has been shown to be vulnerable to gradient leakage attacks (GLA), which have ...

In Python, NumPy provides the fundamental data structure and API for working with raw ND arrays. However, real-world datasets are usually more than just raw numbers; they have labels which encode ...

Notes: The value of the U.S. dollar in terms of the SDR is the reciprocal of the sum of the dollar values, based on market exchange rates, of specified quantities of the SDR basket currencies. See SDR ...

Myocardial infarctions and heart failure are the cause of more than 17 million deaths annually worldwide. ST-segment elevation myocardial infarctions (STEMI) require timely treatment, because delays ...