Machine learning is an essential component of artificial intelligence. Whether it’s powering recommendation engines, fraud detection systems, self-driving cars, generative AI, or any of the countless ...

Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions or values from labeled historical data, enabling precise signals such as ...

Abstract: The modeling of spectral characteristics of light-emitting diodes (LED) has been addressed in various studies. We extend the current state of knowledge by modeling the spectral ...

Dinosaur footprints are iconic fossils, but it is challenging to identify their makers. This is illustrated by a long-standing debate about whether some footprints from the Late Triassic-Early ...

The Indian Institute of Technology Madras (IIT Madras)-led digital learning platform SWAYAM Plus has launched the Hindi version of its flagship AI for All initiative, expanding access to artificial ...

Deciphering gene circuits can be tedious and immensely time consuming. Modifying, or designing gene circuits from previously identified pathways presents further challenges. “There are many possible ...

For women with obesity, GLP-1 medications like Ozempic and Wegovy may help address the metabolic challenges that often intensify during midlife. The hormonal shifts of perimenopause and menopause can ...

PythoC lets you use Python as a C code generator, but with more features and flexibility than Cython provides. Here’s a first look at the new C code generator for Python. Python and C share more than ...

This repository contains the official PyTorch implementation of the research paper Unsupervised Multimodal Clustering for Semantics Discovery in Multimodal Utterances ...

Introduction: Cardiogenic shock (CS) is a heterogeneous clinical syndrome, with varied clinical outcomes driven by hemodynamic states, and initial presentation. However, unsupervised machine learning ...

Introduction: Myocardial ischemia can result in severe cardiovascular complications. However, the impact of clinical factors on myocardial ischemia in individuals with T2DM remains unclear. we applied ...

Objectives: This study aims to investigate the efficacy of unsupervised machine learning algorithms, specifically the Gaussian Mixture Model (GMM), K-means clustering, and Otsu automatic threshold ...