OpenAI has acquired Astral, the company behind Python tools uv and Ruff, to integrate them into its Codex platform as it competes with Anthropic's Claude Code.
Abstract: Large Language Models (LLMs) have shown significant challenges in detecting and repairing vulnerable code, particularly when dealing with vulnerabilities involving multiple aspects, such as ...
Abstract: Accurate relative positioning is essential for the deployment of an intelligent transportation system. However, in complex environments such as urban canyons and tunnels, the global ...
Abstract: Early and accurate detection of skin cancer, particularly melanoma, is critical for improving survival rates and treatment outcomes. This study introduces SkinScanNet, a CNN-based deep ...
Abstract: The accurate prediction of propagation delay is imperative for enhancing the timing precision of eLoran systems. In this letter, a hybrid deep learning framework that integrates spatially ...
Previously, coding demanded extensive software and mathematical knowledge. Today, languages like Python are as simple to learn as new languages like English or French.
Abstract: The planetary boundary layer (PBL) height (PBLH), as a critical meteorological parameter, plays a pivotal role in atmospheric dynamics, climate, and pollution diffusion studies. A radar wind ...
conda create -n unifolm-wma python==3.10.18 conda activate unifolm-wma conda install pinocchio=3.2.0 -c conda-forge -y conda install ffmpeg=7.1.1 -c conda-forge git ...
Abstract: Wearable sensors like EMG, FMG, IMU, and MMG provide the muscle activity information which has various applications in robotics, human machine interface, gaming, virtual reality and sign ...
Kronos is the first open-source foundation model for financial candlesticks (K-lines), trained on data from over 45 global exchanges. Kronos is a family of decoder-only foundation models, pre-trained ...
Anthropic on Friday said it discovered 22 new security vulnerabilities in the Firefox web browser as part of a security partnership with Mozilla. Of these, 14 have been classified as high, seven have ...
Abstract: Here, we propose a hybrid Deep Learning (DL) framework consisting of a Denoising Autoencoder (DAE), Convolutional Neural Network (CNN), Bidirectional LSTM (BiLSTM), and a custom Attention ...