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Optimal transport is a mathematical discipline focused on determining the most efficient way to move mass between probability distributions. This field has wide-ranging applications in economics,…
Industries like aviation engineering, pharmaceutics and automotive manufacturing are beginning to rely on artificial intelligence for metrological instrument calibration, valuing it for its unparalleled accuracy and…
Artificial intelligence (AI) has come a long way since its inception. It has reached the point where its conversational skills and generative capabilities are believable —…
Recently, diffusion models have become powerful tools in various fields, like image and 3D object generation. Their success comes from their ability to handle denoising tasks…
Benchmarking Lag-Llama against XGBoostCliffs near Ribadesella. Photo by Enric Domas on UnsplashOn Hugging Face, there are 20 models tagged “time series” at the time of writing.…
How to address the shortcomings of shallow, outdated models and future-proof your modeling strategy11 min read·22 hours agoPhoto by Justin Chrn on UnsplashI have been involved…
Automating mathematical reasoning has long been a goal in artificial intelligence, with formal frameworks like Lean 4, Isabelle, and Coq playing a significant role. These frameworks…
As LLMs become increasingly integral to various AI tasks, their massive parameter sizes lead to high memory requirements and bandwidth consumption. While quantization-aware training (QAT) offers…
A set of generic techniques and principles to design a robust, cost-efficient, and scalable data model for your post-modern data stack.Photo by Michael Dziedzic on UnsplashOver…
In the age where everyone uses ChatGPT for work and school, I am taking advantage of that to help me study in my university courseImage generated…