This is the fourth Synced year-end compilation of "Artificial Intelligence Failures." Our aim is not to shame nor downplay AI research, but to look at where and how it has gone awry with the hope that ...

Introduction Tree boosting has empirically proven to be efficient for predictive mining for both classification and regression. For many years, MART (multiple additive regression trees) has been the ...

Recent advancements in training large multimodal models have been driven by efforts to eliminate modeling constraints and unify architectures across domains. Despite these strides, many existing ...

Just hours after making waves and triggering a backlash on social media, Genderify — an AI-powered tool designed to identify a person’s gender by analyzing their name, username or email address — has ...

The landscape of vision model pre-training has undergone significant evolution, especially with the rise of Large Language Models (LLMs). Traditionally, vision models operated within fixed, predefined ...

“Liulishuo is the AI English teacher on your phone. You don’t need to know how it works, yet it helps you learn English more efficiently than a human teacher,” says Yi Wang, Founder and CEO of ...

In less than two years since their introduction, vision transformers (ViT) have revolutionized the computer vision field, leveraging transformer architectures’ powerful self-attention mechanisms to ...

Climate change and extreme weather events have made weather and climate modelling a challenging yet crucial real-world task. While current state-of-the-art approaches tend to employ numerical models ...