Organize your work with an AI second brain powered by Claude Code and Obsidian. You set up Inbox, Raw, and Wiki folders to ...
Master the power of AI-driven development with our advanced Claude Code Training Program designed for developers.
Researchers at the Alan Turing Institute in London have documented a way to get GitHub Copilot to generate harmful content with a 100% success rate — by never asking for it directly. The technique, ...
Modern AI agents require continuous monitoring, testing, and optimization to deliver reliable results. Leading platforms help track performance, detect errors, improve prompts, reduce costs, and ...
DeepReinforce today released Ornith-1.0, a family of open-source coding models built around a mechanism most RL-trained agents avoid: the model itself writes the training harness that guides its own ...
OpenCode RTK Skill is a production-grade Agent Skill that makes coding agents prefer rtk command wrappers so terminal output stays compact, useful, and token-efficient. Supports: OpenCode, Claude Code ...
Arbor separates strategy from execution using isolated git worktrees, so engineering teams can finally trace which optimization actually moved the needle.
Abstract: Large-scale optimization problem (LSOP) is an essential research topic in the field of evolutionary computation community. Many large-scale optimization algorithms often maintain a large ...
Abstract: We introduce a deep learning-based optimization method that enhances the design of sparse phased array by reducing grating lobes. Our approach begins with a generation of sparse antenna ...
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