Sparse Autoencoders (SAEs) have recently gained attention as a means to improve the interpretability and steerability of Large Language Models (LLMs), both of which are essential for AI safety. In ...

Abstract: It has been demonstrated that fast convolutional sparse dictionary learning (FCSDL) is a useful instrument for diagnosing rolling bearing faults and can recover rolling bearing fault shocks ...

Walk into any store today and you’ll feel it immediately: the job has changed. Retail’s frontline has become the industry’s new pressure point. Store teams are handling more complexity and absorbing ...

Wu Yi, head of the AReaL project. Photo source: Wu Yi. His work on reinforcement learning and embodied agents is part research, part startup, and all about learning by doing. Whether in academic ...

Why is Christian Science in our name? Our name is about honesty. The Monitor is owned by The First Church of Christ, Scientist, and we’ve always been transparent about that. The church publishes the ...

Learn about DenseNet, one of the most powerful deep learning architectures, in this beginner-friendly tutorial. Understand its structure, advantages, and how it’s used in real-world AI applications.

Dictionary.com has crowned a set of numbers as its 2025 word of the year. It says it reserves that distinction for a word that reflects "social trends and global events that defined that year" and ...

For teachers, the numbers six and seven have suddenly taken on a new—and dreaded—significance this school year. From French class to gym class, students are frequently saying (or shouting) “six-seven” ...

Despite this, it’s better than risking a bad turnover. A prime example of this dates back to the Week 2 loss to Baltimore. Flacco felt Baltimore’s Roquan Smith chasing him down, and instead of ...

Currently, we have a couple of transformer that returns sparse matrix. With the work on array-api in the ecosystem, it could actually be annoying because matrix are not array and might not be ...