3,083 technical terms and definitions
descriptive vs inferential statistics, Karl Pearson, Ronald Fisher, statistics vs probability
Statistics is the discipline of collecting, summarizing, and drawing conclusions from data under conditions of uncertainty — not just computing numbers, but formally quantifying…
basics of statistics, introduction to statistics, intro to statistics, statistics fundamentals, descriptive statistics, inferential statistics, statistical methods basics, statistics for engineers, applied statistics
Statistics is the discipline of turning raw data into trustworthy conclusions, and it is the daily language of a semiconductor fab and design lab where measurements are taken…
statistical mechanics, statistical physics, thermodynamic ensembles, partition function, boltzmann distribution, quantum statistics, fermi dirac, bose einstein, semiconductor statistical mechanics
Statistical mechanics explains macroscopic matter by treating microscopic states probabilistically. Instead of following every atom, electron, phonon, spin, or defect, it defines…
manufacturing operations
Status Board is a visual dashboard showing current performance, issues, and action priorities for a team or line - It aligns teams on the same operational facts and response…
stdp, spike-timing-dependent plasticity, neural architecture
STDP (Spike-Timing-Dependent Plasticity) is a biologically plausible unsupervised learning rule for SNNs — adjusting synaptic weights based on the relative timing of pre-synaptic…
thermal management
Steady-State Thermal is thermal analysis of final equilibrium temperatures after transients have settled - It quantifies long-run operating temperature at constant power…
simulation
Steady-State Thermal Analysis is the simulation of the equilibrium temperature distribution in an electronic system under constant power dissipation — finding the final…
stealth dicing crack propagation prediction, stealth dicing crack, dicing crack propagation, crack propagation prediction, stealth dicing, dicing crack, crack propagation
Stealth Dicing Crack Propagation Prediction with Machine Learning Introduction & Motivation Stealth Dicing Crack Propagation Prediction with Machine Learning addresses a central…
stealth dicing laser focus depth prediction, stealth dicing laser, dicing laser focus, laser focus depth, focus depth prediction, stealth dicing, dicing laser, laser focus
Stealth Dicing Laser Focus Depth Prediction with Machine Learning Introduction & Motivation Stealth Dicing Laser Focus Depth Prediction with Machine Learning addresses a central…
stealth dicing subsurface damage prediction, stealth dicing subsurface, dicing subsurface damage, subsurface damage prediction, stealth dicing, dicing subsurface
Stealth Dicing Subsurface Damage Prediction with Machine Learning Introduction & Motivation Stealth Dicing Subsurface Damage Prediction with Machine Learning addresses a central…
stealth laser dicing crack propagation control machine learning, stealth laser, dicing crack propagation, stealth laser dicing crack propagation control, laser dicing
Stealth Laser Dicing Crack Propagation Control with Machine Learning Introduction & Motivation Stealth Laser Dicing Crack Propagation Control with Machine Learning addresses…
optimization
Steepest ascent (or steepest descent for minimization) is an optimization technique that uses the results of a first-order (linear) DOE to determine the direction of fastest…
computer vision
Steerable CNNs are convolutional neural networks where filters are defined as linear combinations of a steerable basis — typically Gaussian derivatives, circular harmonics…
chemistry ai
Steered Molecular Dynamics (SMD) with AI refers to the combination of machine learning methods with steered molecular dynamics simulations, where external forces are applied…
activation, control vector
Activation Steering and Control Vectors What is Activation Steering? Modifying model activations during inference to control output behavior without retraining. Core Concept…
activation, control
Steering Vectors (Activation Engineering) are the interpretability and control technique that modifies model behavior at inference time by adding learned direction vectors…
security
Steganography detection (steganalysis) involves finding hidden messages or data embedded within seemingly innocent digital content such as images, audio files, video, or text.…
Stein Variational Gradient Descent SVGD for Deep Ensembles Introduction & Motivation Stein Variational Gradient Descent SVGD for Deep Ensembles addresses a central problem…
stem, metrology
Spectroscopic ellipsometry and inline optical wafer metrology constitute the non-destructive physical measurement and defect detection disciplines that govern yield control across…
quality & reliability
Stem-and-Leaf Plot is a compact distribution display that preserves individual values while showing grouped structure - It is a core method in modern semiconductor statistical…
stem probe current stability prediction machine learning, stem probe, current stability prediction, stem tem, stem probe current stability prediction, stem probe current
STEM Probe Current Stability Prediction with Machine Learning Introduction & Motivation STEM Probe Current Stability Prediction with Machine Learning addresses a central problem…
nlp
Stemming is a heuristic-based text normalization process that reduces words to their root form (stem) by chopping off ends of words — a crude but fast approximation…
paste printing, smt aperture
Stencil aperture is the individual opening in a solder-paste stencil that defines local deposition shape and volume on a PCB pad - its geometry directly controls transfer…
manufacturing
Stencil design is the engineering of stencil thickness, aperture geometry, and material features to control solder paste deposition quality - it is a key determinant of print…
stencil printing paste transfer efficiency prediction machine learning, stencil printing, paste transfer efficiency, smt, stencil printing paste, printing paste
Stencil Printing Paste Transfer Efficiency Prediction with Machine Learning Introduction & Motivation Stencil Printing Paste Transfer Efficiency Prediction with Machine Learning…
stencil printing solder paste volume prediction, stencil printing solder, printing solder paste, solder paste volume, paste volume prediction, stencil printing, solder paste
Stencil Printing Solder Paste Volume Prediction with Machine Learning Introduction & Motivation Stencil Printing Solder Paste Volume Prediction with Machine Learning addresses…
lithography scanner, scanning exposure, stepper evolution, slit scan, advanced lithography
Step-and-scan is an advanced lithography technique in which, for each exposure field, the mask and wafer are moved in synchrony to scan the pattern across the field rather than…
step and repeat, lithography scanner, wafer stepper history, ASML scanner, GCA Mark II stepper, exposure field size
Step-and-repeat and step-and-scan are the two fundamentally different ways a lithography tool images a reticle's pattern across a wafer, and the difference between them is exactly…
prompting
Step-back prompting is the prompting strategy that first asks a higher-level conceptual question before returning to the original specific query - stepping back can improve…
rag
Step-Back Prompting is a prompting-retrieval technique that reframes specific questions into higher-level principles before search - It is a core method in modern RAG…
bottom coverage, sidewall step coverage, step coverage ratio, overhang, breadloafing, cvd step coverage, feature coverage, liner coverage, barrier step coverage, step coverage measurement, cvd
Step coverage is a profile collapsed into a number, and the collapse throws away exactly the information that decides whether the film works. Three different films can all report…
reliability
Step stress test is a test method that applies stress in discrete incremental steps to identify failure thresholds - Devices are evaluated at each step so onset of degradation…
lithography
A Stepper is a lithography tool that projects a reticle (mask) pattern onto photoresist-coated wafers using a step-and-repeat process — exposing one die (or a small group of dies)…
stepper lens aberration drift prediction machine learning, stepper lens, aberration drift prediction, cd, stepper lens aberration drift prediction, stepper lens aberration
Stepper Lens Aberration Drift Prediction with Machine Learning Introduction & Motivation Stepper Lens Aberration Drift Prediction with Machine Learning addresses a central problem…
stepper motor driver microstep prediction, stepper motor driver, motor driver microstep, driver microstep prediction, stepper motor, motor driver, driver microstep
Stepper Motor Driver Microstep Prediction with Machine Learning Introduction & Motivation Stepper Motor Driver Microstep Prediction with Machine Learning addresses a central…
robotics
Stereo SLAM is the visual SLAM approach that uses two synchronized cameras with known baseline to estimate depth directly and preserve metric scale - this reduces ambiguity…
stereo vision depth, stereo vision, vision depth
Stereo Vision Depth Introduction & Motivation Stereo Vision Depth addresses a central problem in vision process control and depth-estimation-baseline-disparity prediction: how…
Stereo Vision and Disparity Estimation Introduction & Motivation Stereo Vision and Disparity Estimation addresses a central problem in vision processing…
evaluation
StereoSet is a large-scale benchmark for measuring stereotypical biases in pretrained language models across four domains: gender, race, religion, and profession. It evaluates…
evaluation
StereoSet is the bias benchmark that evaluates whether language models prefer stereotypical completions over anti-stereotypical or unrelated alternatives - it measures stereotype…
evaluation
Stereotype Bias is systematic generation or reinforcement of socially stereotyped associations in model outputs - It is a core method in modern AI fairness and evaluation…
fairness
Stereotype bias in LLMs is the tendency of language models to reproduce or infer socially stereotyped associations from training data - these biases can affect fairness…
Student-Teacher Feature Pyramid Matching STFPM Introduction & Motivation Student-Teacher Feature Pyramid Matching STFPM addresses a central problem in anomaly detection…
sti cmp dishing prediction machine learning, sti cmp, dishing prediction machine, cmp sti, sti cmp dishing prediction, sti cmp dishing, cmp dishing prediction, cmp dishing, dishing prediction
STI CMP Dishing Prediction with Machine Learning Introduction & Motivation STI CMP Dishing Prediction with Machine Learning addresses a central problem in shallow trench isolation…
sti cmp step height prediction, sti cmp step, cmp step height, step height prediction, sti cmp, cmp step, step height, height prediction
STI CMP Step Height Prediction with Machine Learning Introduction & Motivation STI CMP Step Height Prediction with Machine Learning addresses a central problem in shallow trench…
sti corner rounding, shallow trench isolation corner leakage, double hump subthreshold
STI Divot Shallow trench isolation leaves a trench filled with oxide between active areas, polished flat by CMP so the next layer starts on a planar surface. That flatness doesn't…
STI Etch Film STI Etch Film describes the target and protected films in this removal module. Identify the target film Name the material intended for removal separately from…
sti etch film stack
STI Etch Filmstack STI Etch Filmstack describes the ordered materials and their roles in this pattern-transfer example. Read the interfaces The stack is listed from the top…
STI etch
STI Etch Process Flow STI Etch Process Flow describes the sequence connecting pattern preparation, removal and verification. Follow the transitions Each box marks a manufacturing…
sti, process integration
STI formation is the shallow-trench-isolation process used to electrically isolate neighboring active regions - Etch fill and planarization steps create dielectric trenches that…