Impacts2d
Advancing Medical Documentation with BERT-Based Automation
In the rapidly growing field of digital healthcare, leveraging artificial intelligence to streamline processes is becoming ...
GitHub17h
DAHiTra: UNET Architecture with Hierarchical Transformers for Automated Building Damage Assessment Using Satellite Imagery
A novel transformer-based network model is presented for building damage assessment which leverages hierarchical spatial features of multiple resolutions and captures temporal difference in feature ...
AI-driven multi-modal framework revolutionizes protein editing for scientific and medical breakthroughs
Researchers from Zhejiang University and HKUST (Guangzhou) have introduced ProtET, an innovative AI-powered multi-modal protein editing model published in Health Data Science. ProtET leverages ...
GitHub5d
Multimodal Transformers are Hierarchical Modal-wise Heterogeneous Graphs
The repository is based on MMSA. We strongly recommend integrating the core code directly into the MMSA framework. This repository is structured entirely in line with the MMSA setup. However, minor ...
IEEE11d
Tackling Real-world Complexity: Hierarchical Modeling and Dynamic Prompting for Multimodal Long Document Classification
Our approach begins by leveraging hierarchical modeling combined with an Adaptive Correlation Multimodal Transformer (ACMT ... module at both levels to enhance the model’s robustness in handling ...
Analytics India Magazine3d
Should India Shift its Focus from LLMs to Large Concept Models?
Bilal Yoosuf, a senior consultant in data science and engineering at TNP India, spoke to AIM and shared his thoughts, which ...
Frontiers11d
U-shaped convolutional transformer GAN with multi-resolution consistency loss for restoring brain functional time-series and dementia diagnosis
(1) UCT by removing the discriminator from the UCT-GAN model. (2) UCT-GAN without hierarchical topological transformer (MSETD w/o HTT). In the generator, we removed the CD sampling and CU sampling and ...
Psychology Today5d
Brace for a Big Shock About Your Perception of Reality
A key facet of Dr. Friston’s prediction model of perception is the ability of the brain to spot errors in prediction ...
marktechpost15d
Decoupling Tokenization: How Over-Tokenized Transformers Redefine Vocabulary Scaling in Language Models
Over-Encoding (OE) scales input vocabularies exponentially using hierarchical n-gram embeddings ... Over-Tokenized Transformers break traditional trade-offs, enabling smaller models to benefit from ...