AI & Functional Safety: Deploying Neural Networks on Safety Hardware — Quantization and Inference Integrity

Date
2027-06-07
Location
Online
Host
Zach L

About this event

A live 30-minute expert session on Deploying Neural Networks on Safety Hardware — Quantization and Inference Integrity (AI / ML — AI & Machine Learning Safety). What We'll Cover: Where deployment transformations sit in the lifecycle and why the deployed model, not the trained one, is the safety item Step by step: quantization-aware training or post-training quantization, equivalence testing, accelerator fault modes, redundancy options How inference-path integrity maps to hardware metrics thinking and the model equivalence report it produces Common mistakes: verifying float32 offline and shipping int8 on-target with no delta characterization The bit-exactness or bounded-difference evidence and on-target test log an auditor cross-checks Related topics: model quantization · int8 inference · e

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About Functional Safety Foundations

This online session delivers expert-led instruction on the regulatory landscape and implementation approach for Functional Safety Foundations.

The cross-sector fundamentals underlying every functional safety standard: risk as severity × likelihood, the safety function concept, integrity levels, the safety lifecycle, and the split between random and systematic failures.

What it regulates

Shared vocabulary and reasoning: hazard → risk → risk reduction allocation → safety requirement → verified implementation → maintained integrity in operation.

Who must comply

Everyone entering the field — the conceptual base of the entire catalog.

Key requirements of Functional Safety Foundations

  • Hazard and risk fundamentals
  • Safety function anatomy: sensor-logic-actuator with defined safe state
  • Integrity ladders (SIL/PL/ASIL/DAL) as risk-reduction currencies
  • Random vs systematic failure treatment
  • Lifecycle and management of functional safety incl. competence

Key concepts: Functional Safety Foundations

Functional safety management
Planning, competence, documentation and assessment wrapped around technical work.
Random vs systematic
Hardware wear-out/chance failures quantified statistically versus design/process errors controlled by rigor.
Risk reduction allocation
Distributing required risk reduction among mechanical design, safeguards, control functions and procedures.
Safe state
The defined condition a function drives the equipment to on demand or fault.

Frequently asked questions: Functional Safety Foundations

Why can't testing alone prove safety?

Rare-event targets (like 1e-7/h) are unverifiable by test duration, and systematic errors evade random testing — hence the standards' dual machinery of quantified hardware analysis plus process rigor and independent assessment.

Standard information based on the published text of Functional Safety Foundations. Event content is provided by the host. For authoritative guidance, consult the official standard body.