Online age-verification tools spread across U.S. for child safety, but adults are being surveilled - CNBC
Online age-verification tools spread across U.S. for child safety, but adults are being surveilled CNBC
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Show HN: MicroSafe-RL – Sub-microsecond safety layer for Edge AI 1.18µs latency
I built MicroSafe-RL to solve the "Hardware Drift" problem in Reinforcement Learning. When RL agents move from simulation to real hardware, they often encounter unknown states and destroy expensive parts. Key specs: 1.18µs latency (85 cycles on STM32 @ 72MHz) 20 bytes of RAM (no malloc) Model-free: It adapts to mechanical wear-and-tear using EMA/MAD stats. Includes a Python Auto-Tuner to generate C++ parameters from 2 mins of telemetry. Check it out: https://github.com/Kretski/MicroSafe-RL Comments URL: https://news.ycombinator.com/item?id=47621536 Points: 1 # Comments: 0
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