Led by Professor Fu Jin, the study addresses a critical challenge in radiation therapy: balancing the computational speed and ...

Abstract: In this paper, we propose a new approach to train deep learning models using game theory concepts including Generative Adversarial Networks (GANs) and Adversarial Training (AT) where we ...

A deep learning framework combines convolutional and bidirectional recurrent networks to improve protein function prediction from genomic ...

Google released on Thursday a “reimagined” version of its research agent Gemini Deep Research based on its much-ballyhooed state-of-the-art foundation model, Gemini 3 Pro. This new agent isn’t just ...

Deep learning uses multi-layered neural networks that learn from data through predictions, error correction and parameter adjustments. It started with the ...

DeepSeek released its V3.2 model on Monday. It aims to keep accessible AI competitive for developers. V3.2 heats up the race between open and proprietary models. Chinese AI firm DeepSeek has made yet ...

Researchers at Google Cloud and UCLA have proposed a new reinforcement learning framework that significantly improves the ability of language models to learn very challenging multi-step reasoning ...

Abstract: This study explores the application and practice of deep learning algorithms and MATLAB software in teaching higher mathematics. The teaching case design of function approximation, ...

Hello, may I ask how to improve the YOLOv8 model based on your code? For example, I have a Python file containing a CBAM module (a built-in module in YOLO) and an MSAA module (not built into YOLO, ...

MASSISTANT predicts molecular structures from GC-EI-MS spectra using SELFIES encoding, overcoming traditional database limitations. SELFIES encoding ensures valid molecular predictions, unlike SMILES, ...