MIT Technology Review

Using unstructured data to fuel enterprise AI success

Organizations have a wealth of unstructured data that most AI models can’t yet read. Preparing and contextualizing this data is essential for moving from AI experiments to measurable results.
Ministry of Testing

Back to the basics: Rethinking how we use AI in testing

A simple rule of thumb: In general, AI is best reserved for well-defined, repetitive tasks. This includes anything that ...
IEEE

Machine Learning based Mental Health Analysis using Social Media Data

Abstract: Social media is a pivotal aspect of modern communication, influencing how individuals connect, share, and engage. This study investigates its effects on mental well-being through the ...
IEEE

Short-Form Videos: An Exploratory Study on the Impact of Subtitles and ASMR Split-Screen Format Options Using Eyegaze and Facial Expression Data

Abstract: Short-form videos, popularized by platforms like TikTok, YouTube Shorts, and Instagram Reels, have revolutionized media consumption through format options and features such as split-screen ...
aboutamazon

Amazon data centers: How much water and electricity do they really use?

Data centers create new jobs, use significantly less water than the clothing and beef industries, and don't drive up electricity rates. Data centers have become an essential part of powering our daily ...