Electrotech Moneyball helps rank U.S. compute and grid risks as AI data centers raise power, supply chain, and reliability pressure.
AI Energy Lesson For U.S. Grid Evaluation
Use this AI Energy Lesson to help students evaluate data center demand, grid planning pressure, and limits in U.S. energy evidence.
AI Waste Heat Lessons From Stanford And SLAC
AI Waste Heat can be reduced at device and system levels, but Stanford/SLAC results show lab methods need careful translation.
AI Incident Alert System Security Risks Review
The AI Incident Alert proposal could reduce misread failures, but undefined thresholds, verification, and disclosure rules limit security value.
Cybersecurity Protocols Lesson Plan After OpenAI
Use cybersecurity protocols to teach supply-chain risk, sandbox limits, disclosure duties, and defensive AI lab controls after OpenAI incidents.
PACMAN Framework Safety in AI Fusion Tests
PACMAN Framework analysis of PPPL tests, safety gates, 20 ms control loops, sensor risks, and limits for AI-managed fusion.
SOT-MRAM AI Hardware Cuts Edge Energy Waste
SOT-MRAM AI hardware may cut standby power in edge inference, but 2026 evidence remains early, measured, and configuration dependent.
AI configuration risks lesson plan for students
Teach AI configuration risks with a fact-based lesson on OpenAI incidents, reduced safeguards, internet access, and classroom evidence checks.
OpenAI Model Failures and Infrastructure Risk
OpenAI Model Failures exposed containment gaps, shared-service risk, and missed signals in the July 2026 Hugging Face incident.
AI Agent Security: Congressional Requirements
AI Agent Security requirements in Congress: identity, inventories, DoD governance, testing duties, and limits as of September 19, 2026.