Researchers have uncovered a supply-chain attack that hides in Python packages, propagates like a worm, and tricks LLM-based ...

I'll explore how integrating a comprehensive AI-driven onboarding framework can provide a realistic, effective blueprint for ...

To our knowledge, this study is the first to apply deep learning models that can, beyond diagnosis, identify molecular subtypes and predict outcomes in a single brain tumour entity (meningioma) using ...

A surprisingly powerful partnership ...

Abstract: This research work aims to create a comprehensive database of college alumni by scraping data from LinkedIn profiles. The abundance of information available on LinkedIn makes it an ...

While databases offer very efficient ways to store data and query them using query languages, the most flexible way of data processing is writing your own program to manipulate data. In many cases, ...

Traditional repurchase research has relied on two separate datasets that could not be linked: COMPUSTAT, which provides quarterly aggregate repurchase figures, and SDC, which contains repurchase ...

In today’s data-rich environment, business are always looking for a way to capitalize on available data for new insights and increased efficiencies. Given the escalating volumes of data and the ...

We describe OHBA Software Library for the analysis of electrophysiology data (osl-ephys). This toolbox builds on top of the widely used MNE-Python package and provides unique analysis tools for ...

This article is adapted from an edition of our Off the Charts newsletter originally published in October 2021. Off the Charts is a weekly, subscriber-only guide to The Economist’s award-winning data ...