Create your customized unit registry for physical quantities in Python Image generated by the author using OpenAIs DALL-E. Real-world systems, like the supply chain, often involve working with physical quantities, like mass and energy

Speculative Decoding was introduced as a way to speed up inferencing for an LLM. You see, LLMs are autoregressive, meaning we take the output token that we just predicted and use it to help predict the next token we want.

This article discusses MusGConv, a perception-inspired graph convolution block for symbolic musical applications 10 min read In the field of Music Information Research (MIR), the challenge of understanding and processing musical scores has continuously been introduced to new methods and approaches. Most recently many graph-based techniques have been proposed as a way to target music understanding tasks such as voice separation, cadence detection, composer classification, and Roman numeral analysis. This blog post covers one of my recent papers in which I introduced a new graph convolutional block, called MusGConv, designed specifically for processing music score data

When fictions most famous detective, Sherlock Holmes, needed to solve a crime, he turned to his sharp observational skills and deep understanding of human nature. He used this combination more than once when facing off against his arch-nemesis, Dr James Moriarty, a villain adept at exploiting human weaknesses for his gain. This classic battle mirrors todays ongoing fight against cybercrime.

11 min read Are you a data scientist dreaming of landing a job in Big Tech but youre not sure what skills you need to get there? Well, Ive got a secret weapon that could be just what you need to land your dream job in top tech companies. A few months ago, I wrote this article about all the essential skills you need to get hired by the best tech firms, and today, were going to focus on one of those crucial skills: Experimentation.