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Research: Fault-Tolerant Quantization for Safety-Critical Edge AI Hardware
- Engineer — Learn: Early-stage academic research proposing a new hardware/software scheme to resist fault injection attacks on edge AI; no shipping product or patch available, but relevant to teams building safety-critical embedded ML pipelines where fault injection is a threat model.
- SOC/IR — Skip
- Leader — Skip
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