969 technical terms and definitions
etch, sidewall bowing, profile bowing, trench bowing, bowing defect
Bowing, specifically designated as high-aspect-ratio (HAR) mid-trench profile expansion, is an anisotropic plasma etching profile defect in which mid-trench feature width ( , )…
doe
Box-Behnken design is a response surface methodology (RSM) experimental design that efficiently fits second-order (quadratic) models without requiring experiments at extreme…
power, transform
Box-Cox Transformation is a power transformation that automatically finds the optimal mathematical function to normalize data — searching over a parameter λ (lambda) to determine…
statistics
Box-Cox transformation is the power-transform method that finds a lambda value to reduce skew and approximate normality for positive-valued data - it is one of the most common…
quality & reliability
Box Plot is a quartile-based summary chart showing median, interquartile range, whiskers, and outliers - It is a core method in modern semiconductor statistical analysis…
bpe, nlp
BPE is the Byte Pair Encoding tokenization method that builds subword vocabulary by repeatedly merging frequent symbol pairs - it is one of the most widely used tokenization…
bpe, byte-pair encoding, nlp
BPE (Byte-Pair Encoding) is a tokenization algorithm that builds vocabulary by iteratively merging the most frequent character pairs. Algorithm: Start with character vocabulary…
bpr, recommendation systems
BPR is bayesian personalized ranking for pairwise optimization in implicit-feedback recommendation. - It directly trains models so observed items outrank unobserved items for each…
rlhf
The Bradley-Terry model is a probabilistic framework for modeling pairwise comparison outcomes — given two options, it predicts the probability of each one being preferred. It is…
training techniques
Bradley-Terry Model is a probabilistic model for estimating relative preference strength from pairwise comparisons - It is a core method in modern LLM training and safety…
brain-computer interface, bci, emerging tech
A Brain-Computer Interface (BCI) is a technology that establishes direct communication between the brain and an external computing device, bypassing traditional pathways like…
brain-computer interface hardware, brain-computer interface, interface hardware
Brain-Computer Interface Hardware Introduction & Motivation Brain-Computer Interface Hardware addresses a central problem in bci process control and electrode-count-scalability…
brain-computer interface (bci) and neural recording, brain-computer interface (bci), interface (bci) neural, (bci) neural recording, brain-computer interface, interface (bci)
Brain-Computer Interface (BCI) and Neural Recording Introduction & Motivation Brain-Computer Interface (BCI) and Neural Recording addresses a central problem in biomedical process…
esoteric computing languages and paradigms, esoteric computing languages, computing languages paradigms, esoteric computing, computing languages, languages paradigms
Esoteric Computing Languages and Paradigms Introduction & Motivation Esoteric Computing Languages and Paradigms addresses a central problem in esoteric-computing process control…
ideas, generate
Brainstorming with AI generates creative ideas, solutions, and concepts quickly by exploring possibilities, combining concepts, and suggesting novel approaches for problems…
eval, data
Braintrust is an enterprise-grade AI evaluation platform that integrates LLM quality testing directly into the development and CI/CD workflow — providing a dataset management…
ai safety
Branch and Bound Verification is the core algorithmic paradigm for exact neural network verification — systematically partitioning the input space (branching) and computing bounds…
branch prediction accuracy and prediction types, branch prediction accuracy, prediction accuracy prediction, accuracy prediction types, branch prediction, prediction accuracy
Branch Prediction Accuracy and Prediction Types Introduction & Motivation Branch Prediction Accuracy and Prediction Types addresses a central problem in cpu-arch process control…
branch prediction architecture, branch prediction, prediction architecture
Branch Prediction Architecture Introduction & Motivation Branch Prediction Architecture addresses a central problem in processor-architecture process control…
branch predictor, tage predictor, speculative execution, pipeline stall, cpu prediction
Branch prediction is the hardware mechanism inside a CPU that guesses the outcome of conditional branches (if/else, loops, function returns) before the branch instruction is…
branch prediction cpu, branch prediction, prediction cpu
Branch Prediction CPU Introduction & Motivation Branch Prediction CPU addresses a central problem in systems process control and prediction-accuracy-misprediction-penalty…
branch prediction accuracy and misspeculation penalty, branch prediction accuracy, prediction accuracy misspeculation, accuracy misspeculation penalty, branch prediction
Branch Prediction Accuracy and Misspeculation Penalty Introduction & Motivation Branch Prediction Accuracy and Misspeculation Penalty addresses a central problem in timing process…
branch prediction optimization, branch prediction, prediction optimization
Branch Prediction Optimization Introduction & Motivation Branch Prediction Optimization addresses a central problem in performance-optimization process control…
branch predictor modeling accuracy and simulation, branch predictor modeling, predictor modeling accuracy, modeling accuracy simulation, branch predictor, predictor modeling
Branch Predictor Modeling Accuracy and Simulation Introduction & Motivation Branch Predictor Modeling Accuracy and Simulation addresses a central problem in simulation process…
edge ai
BranchyNet is one of the pioneering early exit network architectures — introducing side branch classifiers at intermediate layers of a deep neural network, enabling fast inference…
brand reputation quality perception prediction, brand reputation quality, reputation quality perception, quality perception prediction, brand reputation, reputation quality
Brand Reputation Quality Perception Prediction with Machine Learning Introduction & Motivation Brand Reputation Quality Perception Prediction with Machine Learning addresses…
brdf estimation, bidirectional reflectance distribution function, computer vision
BRDF estimation (Bidirectional Reflectance Distribution Function) is the process of measuring or inferring how light reflects off surfaces — determining the function that…
breadth-first search (bfs) graph prediction, breadth-first search (bfs), search (bfs) graph, (bfs) graph prediction, breadth-first search, search (bfs), (bfs) graph, graph prediction
Breadth-First Search (BFS) Graph Prediction with Machine Learning Introduction & Motivation Breadth-First Search (BFS) Graph Prediction with Machine Learning addresses a central…
breakdown voltage safe operating area prediction, breakdown voltage safe, voltage safe operating, safe operating area, operating area prediction, breakdown voltage
Breakdown Voltage Safe Operating Area Prediction with Machine Learning Introduction & Motivation Breakdown Voltage Safe Operating Area Prediction with Machine Learning addresses…
metrology
Breakdown voltage test measures the voltage at which a junction or dielectric fails — applying increasing voltage until current spikes dramatically, providing critical limits…
yield enhancement
Breakdown Voltage Test is an electrical stress test that identifies the voltage at which dielectric insulation catastrophically fails - It quantifies oxide and interlayer…
etch
The breakthrough step (also called the break-through etch or initial etch) is the first phase of a multi-step plasma etch process that removes a thin barrier layer, native oxide…
ai safety
Brendel & Bethge (B&B) Attack is a decision-based adversarial attack that starts from an adversarial point and walks along the decision boundary toward the original input…
reasoning
Bridge Entity is the intermediate entity in multi-hop reasoning that connects the question's subject to the answer through an inferential chain — the implicit or explicit entity…
bridge rectifier voltage drop prediction, bridge rectifier voltage, rectifier voltage drop, voltage drop prediction, bridge rectifier, rectifier voltage, voltage drop, drop prediction
Bridge Rectifier Voltage Drop Prediction with Machine Learning Introduction & Motivation Bridge Rectifier Voltage Drop Prediction with Machine Learning addresses a central problem…
nlp
Bridging Anaphora is the referential phenomenon where an entity is introduced through its conceptual relationship to a previously mentioned entity rather than by direct repetition…
testing
Design-for-test architectures, automatic test pattern generation, and structural fault modeling constitute the digital verification and manufacturing test disciplines engineered…
advanced test & probe
Design-for-test architectures, automatic test pattern generation, and structural fault modeling constitute the digital verification and manufacturing test disciplines engineered…
Brier Score Reliability and Resolution Decomposition Introduction & Motivation Brier Score Reliability and Resolution Decomposition addresses a central problem in uncertainty…
metrology
Metrology and inspection are the two measurement disciplines that keep a semiconductor fab in control — they are how a foundry knows, wafer by wafer, whether hundreds of process…
bright field inspection illumination drift prediction machine learning, bright field, inspection illumination drift, bright field inspection, field inspection
Bright Field Inspection Illumination Drift Prediction with Machine Learning Introduction & Motivation Bright Field Inspection Illumination Drift Prediction with Machine Learning…
bright-field inspection nuisance rate prediction, bright-field inspection nuisance, inspection nuisance rate, nuisance rate prediction, bright-field inspection
Bright-Field Inspection Nuisance Rate Prediction with Machine Learning Introduction & Motivation Bright-Field Inspection Nuisance Rate Prediction with Machine Learning addresses…
metrology
Brightfield inspection illuminates the wafer with reflected light and detects defects by analyzing changes in the reflected signal from the patterned surface. Principle: Light…
broadband plasma, bbp, bbp inspection, darkfield inspection, brightfield inspection, laser scattering defect inspection, nuisance defect filtering, wafer defect inspection, optical defect inspection
Broadband plasma defect inspection is the workhorse of unpatterned and patterned wafer inspection at advanced nodes. A laser-sustained plasma source can provide a broad UV-visible…
optimization
Broadcasting optimization is the efficient use of tensor broadcasting semantics to avoid explicit expansion and redundant memory allocation - it leverages stride-based virtual…
wire bond failure, open circuit failure
Broken Wire in failure analysis refers to wire bond fractures that cause electrical opens in semiconductor packages, a common failure mode in packaged ICs. What Is Broken Wire…
webgpu, wasm
Browser-Based ML: WebGPU and WebAssembly Browser ML Technologies Technology Purpose Performance WebGPU GPU compute in browser Fast WebGL Graphics + limited compute Medium…
brush scrub roller wear prediction machine learning, brush scrub, roller wear prediction, brush scrub roller wear prediction, brush scrub roller, scrub roller wear, scrub roller
Brush Scrub Roller Wear Prediction with Machine Learning Introduction & Motivation Brush Scrub Roller Wear Prediction with Machine Learning addresses a central problem in post-CMP…
manufacturing equipment
Brush Scrubber is wafer-cleaning module that uses rotating brush contact with chemical assist to remove residues - It is a core method in modern semiconductor AI…
brush scrubber defect prediction, brush scrubber defect, scrubber defect prediction, brush scrubber, scrubber defect, defect prediction
Brush Scrubber Defect Prediction with Machine Learning Introduction & Motivation Brush Scrubber Defect Prediction with Machine Learning addresses a central problem in post-CMP…