Abstract: This research presents the development of a System for Predicting Diseases Using Machine Learning. The system leverages machine learning algorithms to predict the likelihood of individuals ...

A recent joint study between Linköping University and the Department of Forensic Genetics and Forensic Toxicology of the ...

An AI-driven digital-predistortion (DPD) framework can help overcome the challenges of signal distortion and energy ...

Abstract: The explosion of machine learning (ML) model size has led to its execution on distributed clusters at a large scale. Many works have tried to optimize the process of producing collective ...

Quantum computers that were previously limited to theoretical physics now learn to discover patterns, optimize decisions and ...

Discover the art of creating unique handmade crafts, gifts, and toys right from the comfort of your home with Mr Sagoo! Enjoy learning valuable life hacks that you can easily do yourself. Your ...

This is the code of the paper 'Harnessing Large Language Models for Knowledge Graph Question Answering via Adaptive Multi-Aspect Retrieval-Augmentation' (Accepted by AAAI 2025).

Theoretical and computational chemistry (TCC) is a set of theories and models that, over the years, were refined to the point that it is possible to determine measurable quantities with precision, ...

Machine-learning models identify relationships in a data set (called the training data set) and use this training to perform operations on data that the model has not encountered before. This could ...

The upcoming couple of weeks are shaping up to be a critical period for XRP, with the U.S. Securities and Exchange Commission (SEC) postponing its decisions on new spot exchange-traded funds (ETFs) ...