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Glossary

538 technical terms and definitions

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Showing page 10 of 11 (538 entries)

outlier die detection prediction with machine learning

outlier die detection prediction machine learning, outlier die, detection prediction machine, outlier die detection prediction, outlier die detection, die detection prediction

Outlier Die Detection Prediction with Machine Learning Introduction & Motivation Outlier Die Detection Prediction with Machine Learning addresses a central problem in wafer sort…

outlier ensemble detection for process sensor excursions with machine learning

outlier ensemble detection process sensor excursions machine learning, outlier ensemble, detection process sensor, outlier ensemble detection, detection process

Outlier Ensemble Detection for Process Sensor Excursions with Machine Learning Introduction & Motivation Outlier Ensemble Detection for Process Sensor Excursions with Machine…

outlines

structured, json

Outlines is a Python library for guaranteed structured text generation from LLMs — using logit masking during sampling to make it physically impossible for the model to produce…

outlines

framework

Outlines is the open-source structured generation library that uses finite state machines and grammar-based constraints to guarantee LLM outputs conform to specified schemas…

outpainting

generative models

Outpainting (also called image extrapolation) extends an image beyond its original boundaries, generating plausible content that seamlessly continues the visual scene in any…

outpainting

generative models

Outpainting is the generative extension technique that expands an image beyond its original borders while maintaining scene continuity - it is used to widen compositions, create…

outpainting

multimodal ai

Outpainting is extending an image beyond original borders using context-conditioned generative synthesis - It expands scene canvas while maintaining visual continuity. What Is…

output

output device, standard output, stdout, stderr, display, printer, framebuffer

Output is the result a computer sends out after processing — pixels on a screen, sound from a speaker, ink on paper, a signal that turns a motor, a file written for another…

output conductance gds prediction machine learning

output conductance gds prediction, output conductance gds, conductance gds prediction, output conductance, conductance gds, gds prediction

Output Conductance gDS Prediction with Machine Learning Introduction & Motivation Output Conductance gDS Prediction with Machine Learning addresses a central problem in output…

output constraint

prompting techniques

Output Constraint is a set of limits on response properties such as length, allowed tokens, tone, or answer domain - It is a core method in modern LLM workflow execution. What Is…

output filter

moderation, classifier

Output Filtering and Moderation Why Filter Outputs? Prevent harmful, inappropriate, or incorrect content from reaching users. Filtering Strategies Rule-Based Filtering LLM-Based…

output filter

ai safety

Output Filter is a post-generation safeguard that inspects model responses and blocks or edits unsafe content - It is a core method in modern AI safety execution workflows. What…

output filtering

ai safety

Output filtering post-processes LLM responses to remove harmful, sensitive, or policy-violating content before delivery. What to filter: Toxic/harmful content, PII leakage…

output impedance frequency dependent prediction machine learning

modeling frequency-dependent output impedance in analog circuits, modeling frequency-dependent output, frequency-dependent output impedance, output impedance analog

Modeling frequency-dependent output impedance in analog circuits Introduction & Motivation Modeling frequency-dependent output impedance in analog circuits addresses a central…

output moderation

ai safety

Output moderation is the post-generation safety screening process that evaluates model responses before they are shown to users - it catches harmful or policy-violating content…

over etch

over-etch, plasma etch selectivity, etch endpoint detection, via etch process, semiconductor etching

Overetch / Soft Landing (OE / SL) Overetch adds a clearing margin; soft landing uses conditions intended to protect a sensitive underlayer. Place the step in context Identify…

over-processing waste

manufacturing operations

Over-Processing Waste is performing more work, tighter tolerances, or extra steps than required by customer value - It consumes resources without proportional benefit. What Is…

over-refusal

ai safety

Over-refusal is the failure mode where models decline too many benign or allowed requests due to overly conservative safety behavior - excessive refusal reduces assistant…

over-sampling minority class

machine learning

Over-Sampling Minority Class is the simplest technique for handling class imbalance — duplicating or generating additional samples from the minority class to increase its…

over-travel

advanced test & probe

Over-Travel is the controlled extra probe displacement beyond first contact during wafer touchdown - It ensures reliable electrical contact by applying sufficient mechanical…

overall yield

production

Overall yield is the composite yield from wafer start to shipped product — calculated by multiplying probe yield, assembly yield, and final test yield, representing the true…

overconfidence

ai safety

Overconfidence is a failure mode where model confidence is systematically higher than true accuracy - It is a core method in modern AI evaluation and safety execution workflows.…

overetch step

etch

Overetch is the deliberate extension of etch time beyond the detected endpoint to guarantee complete clearing of the target material across all die sites, compensating…

overfitting

underfit, generalization

Regularization is the family of techniques that fight *overfitting* — the tendency of a model with enough capacity to memorize its training data, including the noise, instead…

overfitting

underfitting, bias variance tradeoff

Overfitting and Underfitting — the two fundamental failure modes in machine learning, related to the bias-variance tradeoff. Underfitting (High Bias) Model is too simple…

overkill

quality

Overkill is incorrectly rejecting good devices during test — the opposite of escape, where functional parts fail test due to overly tight limits, test equipment issues…

overlapping chunks

rag

Overlapping chunks is the chunking design that repeats boundary-adjacent tokens across neighboring chunks to preserve continuity - overlap reduces information loss when answers…

overlapping process windows

process

An overlapping process window (also termed common process window) is the intersection of individual Exposure-Defocus (E-D) process windows across all critical feature types…

overlay

lithography overlay, overlay error, on-product overlay, alignment error, scanner overlay, edge placement error, epe, high-order overlay, dbo overlay, metrology, lithography

Lithography overlay is the vector positioning accuracy with which a newly patterned semiconductor device layer is aligned relative to an existing reference layer on the wafer…

overlay

registration, lithography, control, alignment, overlay error, on-product overlay, high-order overlay

Lithography overlay is the vector positioning accuracy with which a newly patterned semiconductor device layer is aligned relative to an existing reference layer on the wafer…

overlay control alignment

wafer alignment marks, registration accuracy, overlay metrology, higher order corrections, overlay, lithography

Lithography overlay is the vector positioning accuracy with which a newly patterned semiconductor device layer is aligned relative to an existing reference layer on the wafer…

overlay error

overlay, lithography overlay error, on-product overlay, scanner alignment error, inter-field overlay, intra-field overlay, edge placement error, metrology, lithography

Lithography overlay is the vector positioning accuracy with which a newly patterned semiconductor device layer is aligned relative to an existing reference layer on the wafer…

overlay error budget

overlay control, alignment accuracy, overlay metrology, overlay improvement

Overlay Error Budget Management is the systematic allocation and control of alignment errors across lithography, etch, deposition, and CMP processes to maintain total overlay…

overlay fingerprint

metrology, interfield overlay, intrafield overlay, lens distortion, per-exposure correction, non-correctable residual, advanced process control, APC, tool matching

An overlay fingerprint is the systematic, repeatable pattern an overlay error map forms across a wafer or across exposure fields — decomposed into named components like…

overlay high-order

high-order overlay, metrology, overlay correction

High-Order Overlay characterizes overlay errors beyond simple X-Y translation — measuring rotation, magnification, skew, and higher-order distortions that affect layer-to-layer…

overlay measurement lithography

image based overlay IBO, diffraction based overlay DBO, overlay control correction, overlay budget allocation

Overlay metrology measures the in-plane registration vector between a newly patterned lithography layer and a reference layer already on the wafer. A tool observes dedicated…

overlay metrology alignment

lithography overlay mark registration, image based overlay IBO, diffraction based overlay DBO, tool induced shift TIS, sub nanometer overlay error budget

Overlay metrology measures the in-plane registration vector between a newly patterned lithography layer and a reference layer already on the wafer. A tool observes dedicated…

overlay metrology

overlay error, lithography overlay, overlay measurement, alignment error litho

Overlay metrology measures the in-plane registration vector between a newly patterned lithography layer and a reference layer already on the wafer. A tool observes dedicated…

overlay metrology sampling plan optimization prediction machine learning

overlay metrology sampling plan optimization prediction, overlay metrology sampling, metrology sampling plan, sampling plan optimization, overlay metrology

Overlay Metrology Sampling Plan Optimization Prediction with Machine Learning Introduction & Motivation Overlay Metrology Sampling Plan Optimization Prediction with Machine…

overlay metrology target asymmetry bias prediction machine learning

overlay metrology target asymmetry bias prediction, overlay metrology target, metrology target asymmetry, target asymmetry bias, asymmetry bias prediction

Overlay Metrology Target Asymmetry Bias Prediction with Machine Learning Introduction & Motivation Overlay Metrology Target Asymmetry Bias Prediction with Machine Learning…

overlay metrology target design optimization with machine learning

overlay metrology target design optimization machine learning, overlay metrology, target design optimization, overlay metrology target design optimization, metrology target

Overlay Metrology Target Design Optimization with Machine Learning Introduction & Motivation Overlay Metrology Target Design Optimization with Machine Learning addresses a central…

overlay process window

metrology, overlay budget, scanner contribution, process contribution, metrology uncertainty, root sum square RSS, yield cliff, edge placement error, advanced node overlay tolerance

The overlay process window is the maximum registration error two patterned layers can tolerate while the device still functions correctly — the hard numerical tolerance that…

overlay registration mark contrast prediction with machine learning

overlay registration mark contrast prediction machine learning, overlay registration, mark contrast prediction, overlay registration mark contrast prediction

Overlay Registration Mark Contrast Prediction with Machine Learning Introduction & Motivation Overlay Registration Mark Contrast Prediction with Machine Learning addresses…

overproduction waste

production

Overproduction waste is the making products earlier or in greater quantity than actual customer demand requires - it is often considered the most harmful waste because it triggers…

overproduction waste

manufacturing operations

Overproduction Waste is producing more or earlier than demand, creating excess inventory and flow imbalance - It is often the most damaging waste because it drives many downstream…

overshoot

signal & power integrity

Overshoot is a transient waveform excursion above the intended high logic level - It can overstress input structures and degrade long-term reliability. What Is Overshoot?…

overtraining

training

Overtraining is the training regime where additional optimization yields little generalization benefit and may overfit data idiosyncrasies - it can consume large compute while…

owl-vit (open-world localization)

owl-vit, open-world localization, computer vision

OWL-ViT (Open-World Localization with Vision Transformer) is a vision transformer architecture for open-vocabulary object detection that detects objects specified by arbitrary…

oxidation furnace

diffusion

Oxidation furnace: grow an insulator by consuming silicon. An oxidation furnace holds silicon wafers in a clean, hot, controlled atmosphere so oxygen or water vapor can react…

oxidation furnace gas ratio drift prediction with machine learning

oxidation furnace gas ratio drift prediction machine learning, oxidation furnace, gas ratio drift, h2 o2, oxidation furnace gas ratio drift prediction, furnace gas ratio

Oxidation Furnace Gas Ratio Drift Prediction with Machine Learning Introduction & Motivation Oxidation Furnace Gas Ratio Drift Prediction with Machine Learning addresses a central…