Researchers from the University of Maryland, Lawrence Livermore, Columbia and TogetherAI have developed a training technique that triples LLM inference speed without auxiliary models or infrastructure ...

Neal has more than 20 years of experience in financial and business journalism covering retail investing, airlines, pharmaceuticals, healthcare, sustainability, technology, and retail. He has worked ...

Physics and Python stuff. Most of the videos here are either adapted from class lectures or solving physics problems. I really like to use numerical calculations without all the fancy programming ...

Autograph first extracts loops and builds dependency graphs capturing instruction semantics and data flow, which are then converted into embeddings by Graph Neural Network. These embeddings are then ...

Imagine you have a directory filled with thousands of files, and you have been asked to process these files one by one. Sounds quite tedious, right? Well not, if you are using For loops in Bash script ...

Singapore-based AI startup Sapient Intelligence has developed a new AI architecture that can match, and in some cases vastly outperform, large language models (LLMs) on complex reasoning tasks, all ...

Community driven content discussing all aspects of software development from DevOps to design patterns. Here are the most important concepts developers must know when they size Java arrays and deal ...

For summarizing and analyzing vascular networks from grayscale, volumetric images. Use this software for locating, sizing, and mapping the connectivity of the depicted vascular networks.

Complex environmental systems are undergoing profound upheavals as a result of human activity. By David Gelles and Manuela Andreoni A drumbeat of recent reports has driven home the fact that our ...

Abstract: In this paper, a fractional order active (P) and reactive (Q) power controller of doubly fed induction generator (DFIG) is developed and it performance is demonstrated using hardware in loop ...