Innovative algorithm makes genomic surveillance faster and more affordable for global disease outbreaks

Genomic surveillance—the process of monitoring and sequencing pathogens—is one of the most important tools for detecting ...
Tech Times

LLM Data Mixture Breaks When Training Pools Shift: Causal Inference Offers Fix

LLM training data mixture optimization breaks when training pools shift — every prior proxy experiment becomes stale.
GitHub

Bootstrap Your Own Latent (BYOL), in Pytorch

Practical implementation of an astoundingly simple method for self-supervised learning that achieves a new state of the art (surpassing SimCLR) without contrastive learning and having to designate ...
IEEE

Comprehensive Investigation and Comparative Analysis of Machine Learning-Based Small-Signal Modelling Techniques for GaN HEMTs

Abstract: A number of machine learning (ML) algorithm based small signal modeling of Gallium Nitride (GaN) High Electron Mobility Transistors (HEMTs) have been reported in literature. However, these ...
IEEE

Machine Learning and Smart PLS Approach to Understanding Individual and Technological Determinants of Work Engagement and Workplace Happiness

Abstract: Artificial Intelligence (AI) is evolving as a ground-breaking technology and becoming an integral part of organizations across numerous fields and aspects of society to boost elaboration ...