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 ...

Artificial intelligence has moved beyond the pilot phase in retail. Most major retailers now use AI across their operations, with 92 percent of retail marketers reporting active AI adoption this year ...

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 ...

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” ...

This is the official repo of our paper Geometry-Aware Attenuation Learning for Sparse-View CBCT Reconstruction in IEEE TMI 2024. In this work, we describe a novel encoder-decoder framework for ...

Abstract: Sparse optoacoustic sensing (SOS) enhances tomographic imaging by enabling high frame rates and reducing system complexity through partial data acquisition. However, its performance depends ...