statistical sampling, quality & reliability
Statistical sampling inspects representative subsets inferring overall population quality.
9,967 technical terms and definitions
Statistical sampling inspects representative subsets inferring overall population quality.
Timing analysis with statistical variations.
Data-driven decision making.
Statistical timing analyzes delay distributions accounting for parameter variations probabilistically.
Embed patterns in token distribution.
Status boards display real-time production metrics and performance against targets.
Biologically-inspired learning rule.
Equilibrium temperature distribution.
Steady-state thermal analysis computes equilibrium temperatures under constant power dissipation.
Follow gradient to optimal region.
CNNs equivariant to rotations.
Apply external forces to explore transitions.
Steering vectors add to activations to control behavior. Found by contrasting activations. Representation engineering.
Activation steering adds vectors to modify model behavior at inference time. Control without retraining.
Find hidden messages in content.
Stem-and-leaf plots show distribution while preserving individual data values.
TEM with scanning beam.
Crude base form extraction.
Openings in stencil.
Metal sheet for paste application.
How well film covers vertical sidewalls and bottom of features.
Incrementally increase stress.
Ask broader question first.
Step-back prompting retrieves background information before specific facts.
Lithography tool that steps and repeats the reticle pattern across the wafer.
SLAM with stereo cameras.
Measure stereotypical associations.
Measure stereotypical biases.
Models perpetuating stereotypes.
Stereotype bias measures associations between groups and attributes in model outputs.
Shallow Trench Isolation formation uses lithography etch oxide fill and CMP to create insulating trenches separating active device regions.
Adhesive floor mat at cleanroom entrance to remove particles from shoes.
Structures sticking together after release.
Second connection point.
STL decomposes time series using locally weighted regression separating seasonal trend and remainder components robustly.
Random failures due to resist chemistry.
Randomly skip transformer blocks.
Add noise to differential equation models.
Random variations from photon shot noise and resist.
Update with one example at a time.
Optimize with probabilistic constraints.
Stochastic volatility models treat variance as latent stochastic process capturing volatility clustering and heavy tails.
Average weights along training trajectory.
Stock-outs occur when demand exceeds available inventory disrupting production or sales.
Control automated storage.
Automated high-density storage system for FOUPs.
Energy loss/gain in Raman scattering.
Stop sequences tell model when to stop generating. EOS token or custom strings. Prevents rambling.
Stop sequences terminate generation when encountered in output.
Multi-token stop conditions.