What is an AI machine according to Bodor
, automated functions by themselves do not yet make an AI machine. This AI machine, according to the White Paper, completes the technological cycle offive components:
- perception -data collection on cutting conditions;
- analysis – evaluation of these conditions by the system;
- decision – making -selection of the optimal cutting strategy;
- execution — implementation of the decision into action;
- self-optimization -improvement based on accumulated data.
Scale L0-L5: who makes the decision
at the heart of the classification-one question: who actually makes the decision during cutting, the operator or the system.
| Level | title | who solves | the |
|---|---|---|---|
| problem L0 | without intelligence | Operator | only basic mechanical functions |
| L1 | help | Operator | System helps with individual tasks |
| L2 | partial intelligence | Operator (final solution) | The system generates recommendations, input threshold for the”AI” status |
| L3 (2027) |
conditional intelligence | System | Stand-alone solution in well-defined |
| L4 (2029)scenarios |
High intelligence | System | full autonomy in certain scenarios |
| L5 (2031) |
Full intelligence | System | full autonomy in all conditions |
How to use this scale when choosing a machine
Previously, “AI-cutting” in the description of equipment could mean anything from simple autofocus to a system that actually makes decisions without operator involvement. Now there is a concrete benchmark: the level on the L0-L5 scale immediately shows how many decisions the system takes on, and how much is left to the operator. It is enough to ask the manufacturer or representative what level a particular model corresponds to — and compare the equipment not by advertising wording, but by actual functionality.
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