Researchers have found that LLM-driven bug finding is not a drop-in replacement for mature static analysis pipelines. Studies comparing AI coding agents to human developers show that while AI can be ...
This repository provides code and workflows to test several state-of-the-art vehicle detection deep learning algorithms —including YOLOX, SalsaNext, RandLA-Net, and VoxelRCNN— on a Flash Lidar dataset ...
Highlights. Compared to our conference version, we achieve new SOTA in the field of COD via the two well-elaborated sub-modules, including neighbor connection decoder (NCD) and group-reversal ...
Microcrystal Electron Diffraction (MicroED) is a cutting-edge technique that allows scientists to determine the atomic structures of proteins and small molecules using standard Transmission Electron ...
Researchers at Google’s Threat Intelligence Group (GTIG) have discovered that hackers are creating malware that can harness the power of large language models (LLMs) to rewrite itself on the fly. An ...
NEW DELHI, Aug 11 (Reuters) - A pilot union has objected to the Indian government's call for a global code of conduct on countries hiring each other's airline staff, saying the move is contrary to ...
Detection of Malicious Code (DMC) is a tool for detecting potentially malicious behavior in C/C++ codebases using static information-flow analysis. The DMC tool detects two types of malicious code: (1 ...
Abstract: Few-shot object detection (FSOD) has attracted significant research attention in remote sensing due to its potential to reduce reliance on large annotated datasets. However, two challenges ...
School of Mechatronics Engineering, Advanced Technology Research Center, Korea University of Technology and Education, Cheonan, Chungnam 31253, Republic of Korea Centre of Molecular Medicine and ...
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