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 breaks most RAG pipelines.
The Architects' Journal

Webinar: AI in architectural practice – real projects, real impact

AI in architecture is moving from experimentation to implementation. An AJ webinar supported by CMap explored how practices are applying these tools to live projects, construction delivery and operati ...
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

Multilingual Text-to-Image Person Retrieval via Bidirectional Relation Reasoning and Aligning

Abstract: Text-to-image person retrieval (TIPR) aims to identify the target person using textual descriptions, facing challenge in modality heterogeneity. Prior works have attempted to address it by ...

8 billion tokens a day forced AT&T to rethink AI orchestration — and cut costs by 90%

AT&T's chief data officer shares how rearchitecting around small language models and multi-agent stacks cut AI costs by 90% at 8 billion tokens a day.