Expertise from Forbes Councils members, operated under license. Opinions expressed are those of the author. Behavioral data isn’t just for e-commerce anymore. Thanks to advances in in-store technology ...

Do you have a product physically in front of you that you can’t name? Are you trying to recreate a cute outfit you saw on social media? Enter Amazon Lens, a visual search tool that tens of millions of ...

Retail is a huge global industry, yet much of its decision-making still happens in the dark. Product assortments, merchandising strategies, and store designs are often locked in months before they are ...

This repository contains the silexdata.mysql Ansible Collection. The collection provides modules and plugins for managing MySQL databases, users, privileges, and related resources with Ansible. We ...

If you thought storing data inside DNA was cool, here’s something even more fascinating. Scientists at the University of Texas at Austin (UT Austin) have invented a way to store digital information ...

If you own multiple Android devices like phones, tablets, or Chromebooks, you don't have to manually install and manage your apps on each device. Thanks to the sync feature in the Google Play Store, ...

Are you finding Atomfall difficult? Struggling to find the right weapon or keycard for the situation? How about missing a key recipe? Well, no matter the issue, we have everything answered to make ...

LM Studio allows you to download and run large language models on your computer without needing the internet. It helps keep your data private by processing everything locally. With it, you can use ...

In context: Due to its mind-boggling density, scientists have explored using DNA as a data storage medium for years. A single gram of DNA could theoretically hold a staggering 215,000 terabytes of ...

DNA has been used for years to store data, but encoding information into the molecule is painstaking work. Now, researchers have drastically sped it up by mimicking a natural biological process that ...

Abstract: In recent years, many models based on deep learning have been proposed to accomplish the visual-inertial odometry (VIO) task, but these methods rely on combining visual and inertial data in ...