Nature

Investigation of different LSTM-based encoder-decoder neural networks for vehicle speed ...

In this work, different Long Short-Term Memory (LSTM) encoder-decoder artificial neural networks are investigated. These networks differ in their complexity. The aim of this work is to evaluate ...
GitHub

Recommended FFmpeg Encoder Settings

The Advanced Media Framework (AMF) is a multimedia processing framework developed by AMD (Advanced Micro Devices). It provides a set of components and interfaces for developing and optimizing ...
Nature

Alternate encoder and dual decoder CNN-Transformer networks for medical image segmentation

Automatic segmentation of anatomical structures (such as organs) and lesion regions in medical images has become a critical task in medical image analysis and is widely used in clinical diagnosis and ...
InfoWorld

LLMs and the rise of the AI code generators

Large language models like GPT-4 and tools like GitHub Copilot can make good programmers more efficient and bad programmers more dangerous. Are you ready to dive in? When I wrote about GitHub Copilot ...
C&EN

Fragment Linker Prediction Using the Deep Encoder-Decoder Network for PROTACs Drug Design

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. A drug discovery and development pipeline is a prolonged and complex process that ...
acm.org

Language Models: Past, Present, and Future

Natural language processing (NLP) has undergone revolutionary changes in recent years. Thanks to the development and use of pre-trained language models, remarkable achievements have been made in many ...
Frontiers

Multi-Dimensional Enhanced Seizure Prediction Framework Based on Graph Convolutional Network

In terms of seizure prediction, how to fully mine relational data information among multiple channels of epileptic EEG? This is a scientific research subject worthy of further exploration. Recently, ...