Large AI models can speed catalyst discovery by predicting performance before synthesis

Artificial intelligence (AI) is transforming the way scientists discover and design new materials. In a specially invited review published in Angewandte Chemie International Edition, Tohoku University ...
Harvard Business Review

Artificial Intelligence for the Real World

Don’t start with moon shots. by Thomas H. Davenport and Rajeev Ronanki In 2013, the MD Anderson Cancer Center launched a “moon shot” project: diagnose and recommend treatment plans for certain forms ...
IEEE

Contrastive Incremental Learning Enabled U-Net-based Segmentation Model for Vegetation Classification using Remote Sensing Images

Abstract: Over the past decades, remote sensing images have obtained more significance in computing the biochemical and physical characteristics of the vegetation to enhance the classification.
IEEE

Blind Image Quality Assessment via Image-Encoder-Only CLIP Model with a Lightweight Regression Head

Abstract: Blind Image Quality Assessment (BIQA) is a classical and important task in the field of computer vision. Due to the development of deep learning, this task has been significantly advanced by ...
GitHub

A blazing fast inference solution for text embeddings models.

Text Embeddings Inference (TEI) is a toolkit for deploying and serving open source text embeddings and sequence classification models. TEI enables high-performance extraction for the most popular ...