2,263 technical terms and definitions
frequentist vs Bayesian interpretation, Andrey Kolmogorov axioms, independence vs dependence
Probability is the mathematical framework for quantifying uncertainty, assigning a number between 0 and 1 to how likely an event is to occur, where 0 means the event is impossible…
pdf, density function, continuous probability distribution, kernel density estimate, density curve, Rosenblatt Parzen
A probability density function (pdf) describes how probability is spread over the values of a continuous random variable, and it is defined by the rule that the probability of…
probability mass function, probability density function, distribution parameters, maximum likelihood estimation
A probability distribution describes how probability is spread across all the possible values a random variable can take — a complete mathematical description of a random…
probability distribution, random variable, cumulative distribution function, probability density function, expected value, standard normal distribution
The probability distribution is the mathematical description of how the possible outcomes of a random experiment are spread over their values, and it is the single most important…
Probability Distributions: Discrete and Continuous Families Probability distributions describe the likelihood of outcomes for random phenomena. Each distribution family captures…
generative models
Probability Flow ODE is the deterministic ODE whose trajectories have the same marginal distributions as a given stochastic differential equation — replacing the stochastic…
pmf, discrete probability distribution, probability function, binomial pmf, Poisson distribution, Bortkiewicz 1898
A probability mass function (pmf) is a function that gives, for each possible value of a discrete random variable, the probability that the variable takes exactly that value.…
probability and statistics, probability theory, statistics, statistical analysis, random variables, probability distributions, statistical inference, hypothesis testing, statistical process control, spc, yield analysis
Probability and statistics is the quantitative language by which a semiconductor industry turns uncertainty into decisions, from the moment a fab engineer predicts how many dies…
Measure-Theoretic Probability and Martingales Probability becomes mathematically reliable when events, random variables, expectations, and information are expressed through…
mechanistic, interpretability
Probe Mechanistic interpretability reverse-engineers neural network internals to understand circuits features and representations at a mechanistic level. Unlike black-box…
advanced test & probe
Probe Alignment is the positioning process that aligns probe tips to wafer pads before electrical testing - It ensures each probe lands on the correct pad with adequate contact…
advanced test & probe
Probe Card Cleaning is maintenance processes that remove contamination buildup from probe tips and card surfaces - It restores stable contact behavior and reduces intermittent…
probe card cleaning frequency optimization prediction, probe card cleaning, card cleaning frequency, cleaning frequency optimization, probe card, card cleaning
Probe Card Cleaning Frequency Optimization Prediction with Machine Learning Introduction & Motivation Probe Card Cleaning Frequency Optimization Prediction with Machine Learning…
probe card cleaning frequency prediction machine learning, probe card, cleaning frequency prediction, probe card cleaning frequency prediction, probe card cleaning
Probe Card Cleaning Frequency Prediction with Machine Learning Introduction & Motivation Probe Card Cleaning Frequency Prediction with Machine Learning addresses a central problem…
probe card contact resistance drift prediction, probe card contact, card contact resistance, contact resistance drift, resistance drift prediction, probe card, card contact
Probe Card Contact Resistance Drift Prediction with Machine Learning Introduction & Motivation Probe Card Contact Resistance Drift Prediction with Machine Learning addresses…
probe card health monitoring predictive maintenance machine learning, probe card, health monitoring predictive, probe card health, card health monitoring
Probe Card Health Monitoring and Predictive Maintenance with Machine Learning Introduction & Motivation Probe Card Health Monitoring and Predictive Maintenance with Machine…
advanced test & probe
Probe Card Life is the usable operational lifetime of a probe card before performance falls outside specification - It drives maintenance planning, cost forecasting, and test risk…
probe card needle wear prediction, probe card needle, card needle wear, needle wear prediction, probe card, card needle, needle wear, wear prediction
Probe Card Needle Wear Prediction with Machine Learning Introduction & Motivation Probe Card Needle Wear Prediction with Machine Learning addresses a central problem in wafer sort…
advanced test & probe
Probe card planarity is the flatness consistency of probe tips relative to wafer surface during contact - Planarity alignment ensures simultaneous touchdown and uniform force…
advanced test & probe
Probe Card Repair is maintenance and rework operations to restore probe card electrical and mechanical performance - It extends probe card service life and preserves stable…
advanced test & probe
Probe mark is the physical imprint left on wafer pads after probe contact during test - Mark geometry reflects contact force alignment and scrub conditions during touchdown. What…
probe mark damage yield impact prediction, probe mark damage, mark damage yield, damage yield impact, yield impact prediction, probe mark, mark damage, damage yield
Probe Mark Damage Yield Impact Prediction with Machine Learning Introduction & Motivation Probe Mark Damage Yield Impact Prediction with Machine Learning addresses a central…
probe needle alignment drift prediction machine learning, probe needle, alignment drift prediction, probe needle alignment drift prediction, probe needle alignment
Probe Needle Alignment Drift Prediction with Machine Learning Introduction & Motivation Probe Needle Alignment Drift Prediction with Machine Learning addresses a central problem…
advanced test & probe
Probe scrub is the lateral tip motion during touchdown that removes oxide and improves electrical contact - Controlled scrub helps break surface films and stabilize contact…
advanced test & probe
Probe Tip Geometry is the shape and dimensions of probe tips that determine contact behavior on wafer pads - It controls scrub action, contact resistance, and tolerance to pad…
production, random defects, systematic defects, edge die yield loss, design marginality, wafer mapping, yield trend monitoring, fab health indicator, test economics
Probe yield is the percentage of die on a wafer that pass electrical test at wafer probe — the very first point in manufacturing where a die's actual functional quality gets…
representation, layer
Linear Probing is the diagnostic interpretability technique that trains a simple linear classifier on the frozen internal activations of a neural network to determine whether…
ai safety
Probing trains classifiers on internal model representations to discover what information is encoded. Methodology: Extract hidden states from model, train simple classifier…
interpretability
Probing Classifier is a lightweight model trained on hidden states to test encoded linguistic or semantic properties - It estimates what information is linearly recoverable…
explainable ai
Probing classifiers is the auxiliary models trained on hidden states to test whether specific information is linearly or nonlinearly decodable - they measure representational…
Probing Classifiers for Representation Analysis Introduction & Motivation Probing Classifiers for Representation Analysis addresses a central problem in interpretability…
Probing Classifiers for Representation Analysis (Extended Study) Introduction & Motivation Probing Classifiers for Representation Analysis (Extended Study) addresses a central…
Probing Classifiers for Representation Analysis (Extended Study) Introduction & Motivation Probing Classifiers for Representation Analysis (Extended Study) addresses a central…
quality & reliability
Problem Escalation is a tiered response workflow that routes unresolved issues quickly to higher technical and managerial support - It is a core method in modern semiconductor…
quality & reliability
Problem Notification is the structured alerting process that routes issue signals to responsible responders - It is a core method in modern semiconductor operational excellence…
problem-solving agent, Newell Simon Human Problem Solving 1972, problem space, goal formulation, problem formulation, think-aloud protocols, General Problem Solver
Problem solving, in the sense used in artificial intelligence, is the process by which an agent that has been given or has chosen a goal finds a sequence of actions that achieves…
content creation
Procedural generation with AI combines algorithmic rule-based generation with machine learning — using AI to enhance, control, or learn procedural generation rules, enabling more…
isolation, fork
Operating System Process is the fundamental unit of program execution that provides isolated memory, its own set of resources, and an independent execution context — the OS…
semiconductor process history
A process node designates a semiconductor technology generation, historically tied to minimum feature size but now primarily a marketing designation reflecting transistor density…
control, monitoring, PCM, strategies, SPC
Process Control Monitoring (PCM) and Statistical Process Control is systematic measurement and analysis of process parameters during manufacturing to maintain product quality…
process agreement capability index prediction, process agreement capability, agreement capability index, capability index prediction, process agreement, agreement capability
Process Agreement Capability Index Prediction with Machine Learning Introduction & Motivation Process Agreement Capability Index Prediction with Machine Learning addresses…
process architecture optimization, tick-tock-end, tick tock end, intel pao
Process–architecture–optimization describes Intel’s move beyond a two-stage tick-tock development cadence. The model adds an optimization phase alongside a new manufacturing…
quality & reliability
Process Audit is an audit focused on whether a specific process is executed according to approved methods and controls - It is a core method in modern semiconductor quality…
Cp Cpk Pp Ppk, sigma level defect rate, within subgroup variation, between subgroup shift, DPPM DPMO, process centering, short term long term capability, process qualification evidence, statistical process control
Process capability analysis is the statistical evaluation of whether a manufacturing process can consistently produce output within its specification limits, using a specific…
cpk index
Process Capability Index is a family of indices that compare process spread and centering against specification limits - It is a core method in modern semiconductor statistical…
process capability index drift prediction machine learning, process capability, index drift prediction, spc, process capability index drift prediction, capability index drift
Process Capability Index Drift Prediction with Machine Learning Introduction & Motivation Process Capability Index Drift Prediction with Machine Learning addresses a central…
spc
Process capability ratio is the spread-based index Cp that compares specification width to process variation width - it quantifies potential capability if the process were…
quality
Process capability study is the structured analysis that determines whether a stable process can meet engineering specification limits with acceptable margin - it combines…
quality & reliability
Process Capability Study is a statistical assessment of how well a process can meet specification limits over time - It quantifies process fitness for quality targets before…
production
Process capability vs equipment capability is the comparison between process tolerance requirements and the tool ability to hold conditions within those limits - this fit…