Why cryo-EM hitting 1.2 Å atomic resolution in 2026 matters — the science, the Krios G5 microscope, AI-driven processing, and drug discovery implications.
RAG over CAD and BOM data for PLM knowledge retrieval — chunking strategies for engineering drawings, BOM graph embeddings, and a reference architecture proven in 2026 production.
Multi-agent orchestration in 2026 — MCP for tools, A2A for agent-to-agent, LangGraph for stateful flows. Reference architecture, picking criteria, and production patterns.
Vibe coding moved from demos to production in 2026 — what works, what blows up, eval-driven loops, repo-context patterns, and the eight failure modes to instrument against.
Federated learning for IoT — FedAvg vs FedProx vs FedOpt aggregation, secure aggregation, differential privacy budgets, and a 2026 deployment blueprint for edge fleets.
Q2 2026 LLM inference benchmark across vLLM, TGI, SGLang, and Triton — throughput, p50/p99 TTFT/TPOT, KV-cache efficiency, and which engine wins per workload class.
Auditing the viral 2025 claim that AI replaced half of software engineers — BLS data, layoff trackers, GitHub Copilot adoption surveys, and what the numbers actually show in 2026.