If you’ve ever felt frustrated by Spotify‘s algorithm recommending songs that don’t match your taste, there’s some good news. The streaming giant is finally giving you a way to take control of its ...

I design and deploy high-impact systems built on LLMs, local inference, and agent architectures. I design and deploy high-impact systems built on LLMs, local inference, and agent architectures. I ...

This repository contains code for benchmarking the effect of feature selection on scRNA-seq atlas construction and use. For more information please refer to the documentation on the wiki.

Think about the last time you opened Netflix. Did you scroll through countless options or go with a recommended title? When you log into social media, do you decide what to see, or does an algorithm ...

Popular password management app 1Password today announced a new feature that allows users to assign specific locations to items stored in their vaults, which then appear in the 1Password mobile app ...

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Abstract: A fundamental challenge in virology research lies in effectively detecting malicious code. N-gram analysis has become a cornerstone technique, but selecting the most informative features, ...

Abstract: The feature selection problem involves selecting a subset of relevant features to enhance the performance of machine learning models, crucial for achieving model accuracy. Its complexity ...

Notably, this report is in line with one of our earlier reports from back in October and was based on a leak from known analyst Jeff Pu. Now, the latest information arrives from leaked iOS 18 codes ...

ABSTRACT: In a competitive digital age where data volumes are increasing with time, the ability to extract meaningful knowledge from high-dimensional data using machine learning (ML) and data mining ...