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Patent drawing for Autonomous machine control using neural networks
US 12,511,515 B2
Control systems US 12,511,515 B2 Not in force

Autonomous machine control using neural networks

This invention describes a method for autonomous machines to decide what to do next. It uses artificial intelligence, specifically neural networks, to figure out the most likely sequence of actions that will achieve a goal. The system works by calculating the probability of different action sequences and then updating its control settings based on the most promising ones, often using complex statistical methods to refine these probabilities.

Why it matters: The computational demands for real-time probabilistic AI control remain substantial, but advancements in specialized AI hardware and more efficient software frameworks since 2023 could offer improved performance and deployment options.

Status
Not in forceListed as no longer active. The specific reason is not in the record we hold.
How hard to build
SpecializedAI algorithms, control software, specialized hardware

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