Hannah Sterling | Stamps in Class

AI Energy Lesson for Critical Infrastructure

AI energy lesson plan for comparing data center demand, per-task efficiency gains, and grid tradeoffs in critical infrastructure.

Starfire SoC brings modern CPU, GPU, and NPU hardware to space missions, but radiation qualification remains the key test.

Use this AI Energy Lesson to help students evaluate data center demand, grid planning pressure, and limits in U.S. energy evidence.

Specialized AI Models lesson plan for teaching cybersecurity use cases, SOC adoption data, limits, governance, and classroom assessment.

AI Adoption Barriers lesson plan for critical infrastructure cybersecurity using 2026 OT survey data, evidence checks, and classroom prompts.

Cybersecurity Framework Limits explain why the August 2026 NSA Siemens S7 PLC warning points to protocol, firmware, and segmentation gaps.

Use this AI exploit lesson to teach why AI-generated PLC scripts raise OT risk, how evidence limits claims, and what students assess.

AI Energy Efficiency faces disclosure gaps, rising compute demand, cooling tradeoffs, and grid limits as AI infrastructure expands.

Use Anthropic adoption data to teach AI adoption barriers, from data quality and cost to staff training, with cautious classroom activities.

Teach AI data quality with a power-sector lesson using outage data, reliability tradeoffs, model limits, and grid-planning evidence.