Hackaday

TurboQuant: Reducing LLM Memory Usage With Vector Quantization

Large language models (LLMs) aren’t actually giant computer brains. Instead, they are effectively massive vector spaces in ...
Open Heart

Periprocedural evaluation of patients with BAV stenosis undergoing TAVR: a machine learning-based study

Background Transcatheter aortic valve replacement (TAVR) has increasingly emerged as one of the primary treatments for ...
Analytics Insight

Machine Learning, Stanford University

Stanford University’s Machine Learning (XCS229) is a 100% online, instructor-led course offered by the Stanford School of ...
IEEE

Prediction of Optimal Nearest Delivery Personnel for Delivery of Products Using Support Vector Machine Against Logistic Regression Algorithm for Better Accuracy

Abstract: The goal of this research is to enhance the accuracy of online sales management by finding the most efficient logistics method from the manufacturer using machine learning techniques.
TechSpot

SteamOS update adds support for Steam Machine and other non-Valve hardware

Why it matters: The Steam Machine's launch date remains unclear, but a recent update for its operating system indicates that Valve's plans are progressing. The new version of SteamOS introduces ...
IEEE

Hyperspectral Detection of Pesticide Residues in Black Vegetable Based on Multi-Classifier Entropy Weight Method

Abstract: This study addresses the issue of rapid, non-destructive detection of pesticide residues in black vegetable (Brassica narinosa L.H. Bailey) by proposing a multi-classifier entropy weighted ...