This article discusses the use of machine learning models to predict the ground state electron density in materials simulations. By leveraging transfer learning and…
Browsing: Transfer Learning
The article discusses the impact of transfer learning on the field of Natural Language Processing (NLP). Transfer learning involves using pre-trained models on large…
TransDSI is a transfer learning architecture that uses protein sequence data to predict protein-protein interactions, specifically deubiquitinating enzyme (DUB)-substrate interactions. It also includes an…
The study of RNA modifications has become a critical area of research in molecular biology, revealing the complex regulatory mechanisms that control gene expression…
This article discusses the advancements in computer vision and its applications in enhancing wireless networks, human-computer interaction, and high-stakes decision making. It also highlights…
Hugging Face is a technology startup that has driven the adoption of transformer-based models in natural language processing. They have collaborated with AWS to…
Engineers at The University of Texas at Austin have developed a calibration-free brain-computer interface (BCI) that allows people with motor disabilities to control devices…
This article discusses the impact of automation on environmental sensing and the use of advanced technologies such as environmental sensor networks, unmanned aerial systems,…
The self-supervised learning market is experiencing significant growth driven by data abundance, scalability and efficiency, performance improvement, transfer learning and fine-tuning, domain adaptation and…
On-device intelligence (ODI) is an emerging technology that combines mobile computing and AI, enabling real-time, customized services without network reliance. Researchers have proposed methods…