"Understanding Large Models for Humanities Students (1.0)" is written by Penny Liang, offering a simplified perspective to ...

Abstract: In the realm of integrated circuit verification, IR drop analysis plays a crucial role. Recent advancements in machine learning (ML) significantly enhance its efficiency, yet many current ...

SAN FRANCISCO, Sept. 09, 2025 (GLOBE NEWSWIRE) -- Today, MLCommons ® announced new results for its industry-standard MLPerf ® ...

Add a description, image, and links to the encoder-decoder-architecture topic page so that developers can more easily learn about it.

Trias is an encoder-decoder language model trained to reverse-translate protein sequences into codon sequences. It learns codon usage patterns from 10 million mRNA coding sequences across 640 ...

The final, formatted version of the article will be published soon. To enhance the obstacle avoidance performance and autonomous decision-making capabilities of robots in complex dynamic environments, ...

Introduction: Structural magnetic resonance imaging (sMRI) is an important tool for the early diagnosis of Alzheimer's disease (AD). Previous methods based on voxel, region of interests (ROIs) or ...

Machine-learning models identify relationships in a data set (called the training data set) and use this training to perform operations on data that the model has not encountered before. This could ...

Abstract: Traffic flow prediction is critical for Intelligent Transportation Systems to alleviate congestion and optimize traffic management. The existing basic Encoder-Decoder Transformer model for ...

Researchers at VCU Massey Comprehensive Cancer Center have developed a new computational tool called Vesalius, which could help clinicians understand the complex relationships between cancer cells and ...