Defense research.
Machine Nerve is a local-first research direction for adaptive training and human-machine teaming. Capture, processing and local models run on your own hardware, and people make every readiness decision.
Modeled view.
Which decision improves first?
Training increasingly runs through simulators, and the people who supervise machines that take more control need methods that adapt to them.
- The machine
- Autonomy console
The operator and Eri run the program.
Supervising autonomy is a skill. Measure it.
- signal
- Operator workload
- when
- Three vehicles, one alert stream
- cue
- Reorder the alerts
- authority
- approval_required
Modeled example.
AI proposals stay inside fixed operations and the authority tier the operator set. AI agreement is never counted as success.
Modeled view.
Where does the method fit?
Review the session record.
Segments and traces support the operator's debrief. An instructor can join the review.
In developmentTest the equipment, not only the person.
Compare a setup, interface or assistance setting on the same operator and task.
Who is at the controls?
- Simulation teams
- Human performance researchers
- Program leads
Physiological signals are context for performance review. They are not diagnoses, emotion detection or fitness-for-duty measures.
Machine Nerve is not a medical device and does not provide clinical diagnosis, treatment, or medical readiness certification.
Modeled view.
What does a first pilot involve?
One sponsor-qualified research question with an operational user.
Operator benefit and data rights are explicit. Private operator memory, licensed method libraries and general lessons are kept separate.
Which tools does it use?
Read the cases.
This industry has no case of its own yet. The nearest case follows the same use case in another industry.