Ministry of Testing

Back to the basics: Rethinking how we use AI in testing

A simple rule of thumb: In general, AI is best reserved for well-defined, repetitive tasks. This includes anything that ...
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 ...
Thorax

Disparities in lung function trajectories among tobacco-exposed individuals

Background The relationship of social determinants of health (SDOH), environmental exposures and medical history to lung function trajectories is underexplored. A better understanding of these ...
IEEE

Dual-Alignment CLIP: Task-Specific Alignment of Text and Visual Features for Few-Shot Remote Sensing Scene Classification

Abstract: Convolutional neural networks (CNNs) are widely adopted for remote sensing image scene classification. However, labeling of large annotated remote sensing datasets is costly and time ...
IEEE

Text-to-Speech With Lip Synchronization Based on Speech-Assisted Text-to-Video Alignment and Masked Unit Prediction

Abstract: Text-to-speech (TTS) with lip synchronization (TTSLS) is the task of generating a speech signal synchronized with the lip movements in a video given the text transcription and the video ...