Morning Overview on MSN

Scientists build a ‘periodic table’ for AI models

Scientists are trying to tame the chaos of modern artificial intelligence by doing something very old fashioned: drawing a ...
eLife

Separating selection from mutation in antibody language models

This important study introduces a new biology-informed strategy for deep learning models aiming to predict mutational effects in antibody sequences. It provides solid evidence that separating ...
IEEE

Classification of Equatorial Ionospheric Irregularities Using Unsupervised Machine Learning Based on Spatiotemporal ROTI Keograms

Abstract: Equatorial ionospheric irregularities, particularly those associated with equatorial plasma bubbles (EPB), can significantly disrupt satellite navigation and communication systems. As the ...
IEEE

SC3: Similarity Connotation Masking Guided Contrastive Clustering for Unsupervised Specific Emitter Identification

Abstract: Recently, contrastive clustering (CC) has exhibited considerable advantages for unsupervised specific emitter identification (USEI). However, emitter signals consist of connotative ...