Healthcare claims often fail due to small data errors. Mukesh Kumar Mishra has built cloud-based validation and anomaly ...
AI agents are now taking over repetitive work, identifying issues humans may miss, and helping teams maintain testing speed ...
The dataset should be placed in the 'data' folder. The training dataset should only contain defect-free samples, which should be named 'good'. The test dataset should include one category named 'good' ...
A campaign active since last November has been targeting Python developers building Telegram bots with trojanized Pyrogram ...
When code is generated faster, quality, security and maintenance issues can also move through the pipeline more quickly, so ...
Multiple weaponized proof-of-concept (PoC) exploits on GitHub delivered a Python-based remote access trojan (RAT) called ChocoPoC that can execute commands and steal sensitive data. However, ChocoPoC ...
Attackers can inject indirect prompts in normal-looking repositories to trick Claude Code into spawning a reverse shell.
Five independent security disclosures in a single week point to the same gap: AI agent permissions, not AI agent capabilities, are the problem enterprises haven’t solved. If you can only read one tech ...
An end-to-end deep learning system for automated PCB defect detection that combines computer vision with domain expertise. This project demonstrates the practical application of AI in industrial ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results