Databricks built a RAG agent it says can handle every kind of enterprise search

Databricks' KARL agent uses reinforcement learning to generalize across six enterprise search behaviors — the problem that ...
IEEE

Rate-Distortion-Optimized Deep Preprocessing for JPEG Compression

Abstract: JPEG is daily used for compressing natural images, while the compressed images often contain visually annoying artifacts especially at low rates. To reduce the compression artifacts, it has ...
GitHub

krystian-ai/ai-image-gen-mcp

MCP is the USB‑C of AI context: one protocol, endless integrations. Ship one server, hook it into Claude Desktop, Claude Code, VS Code, or your own chatbot – the host handles UI, auth, and ...
IEEE

AI-Driven Compression for Memory Optimization in Virtual Tourism: Comparing JPEG to Advanced Techniques

Abstract: Aim: This research mainly focuses on the problem of high memory consumption on virtual tourism systems with the help of ESRGAN ancillary models, aiming at improving the memory efficiency and ...
GitHub

Compression Efficiency and Structural Learning as a Computational Model of DLN Cognitive Stages

A computational instantiation of three DLN cognitive stages (Dot → Linear → Network) testing a compression-efficiency thesis: Network cognition is more efficient because it represents shared structure ...