1,016 technical terms and definitions
gisaxs, grazing-incidence small-angle x-ray scattering, grazing incidence small angle x-ray scattering, gisaxs thin film, gisaxs metrology
Grazing-incidence small-angle X-ray scattering turns weak nanoscale density variations at a surface or within a thin film into a two-dimensional reciprocal-space pattern.…
grazing incidence x-ray diffraction, gixrd, gixd, grazing incidence diffraction, thin film gixrd
Grazing-incidence X-ray diffraction makes a weak crystalline film visible by sending the incident beam almost parallel to its surface. The long path through the film raises…
Great Expectations Declarative Data Quality Suites Introduction & Motivation Great Expectations Declarative Data Quality Suites addresses a central problem in {subject} assurance…
beam search, decoding, sampling, top-k, top-p, nucleus, temperature, generation
When a language model finishes a forward pass it does not hand you a word. It hands you a probability distribution over its entire vocabulary, and *decoding* is the policy you use…
greedy algorithm correctness, greedy algorithm, algorithm correctness
Greedy Algorithm Correctness Introduction & Motivation Greedy Algorithm Correctness addresses a central problem in algorithms process control and greedy-choice-property…
greedy search, greedy, argmax decoding, greedy decoding vs beam search, greedy generation
Every time a language model finishes a forward pass it hands you not a word but a *probability distribution* over all possible next tokens, and a decoding strategy is the rule…
inference
When a language model finishes a forward pass it does not hand you a word. It hands you a probability distribution over its entire vocabulary, and *decoding* is the policy you use…
text generation
Every time a language model finishes a forward pass it hands you not a word but a *probability distribution* over all possible next tokens, and a decoding strategy is the rule…
Greedy Equivalence Search GES for Observational DAGs Introduction & Motivation Greedy Equivalence Search GES for Observational DAGs addresses a central problem in causal inference…
Greedy Interventional Equivalence Search GIES Introduction & Motivation Greedy Interventional Equivalence Search GIES addresses a central problem in causal inference and {target}…
metrology
Greek cross is a sheet resistance measurement pattern — a symmetric four-point probe structure shaped like a plus sign (+), providing more accurate sheet resistance measurements…
environmental & sustainability
Green chemistry is the design of chemical products and processes that minimize hazardous substances and waste - Principles emphasize safer reagents, efficient reactions…
facility
Green fab refers to environmentally friendly fab design and operations that minimize resource consumption and environmental impact while maintaining manufacturing excellence.…
negf nanoelectronic device physics, self energy contact coupling, transmission coefficient caroli formula, sub 3nm gaafet quantum conductance
Non-Equilibrium Green's Functions (NEGF) and Quantum Transport in Nanostructures 1. Introduction to NEGF Formalism Non-Equilibrium Green's Functions (NEGF) provide a rigorous…
environmental & sustainability
Green Solvents is solvents selected for lower toxicity, environmental impact, and lifecycle burden - They reduce worker exposure risk and downstream treatment requirements. What…
grey wolf algorithm, grey wolf, wolf algorithm
Grey Wolf Algorithm Introduction & Motivation Grey Wolf Algorithm addresses a central problem in ml process control and convergence-iterations-to-optimum prediction: how…
hardware
Grid is the full collection of thread blocks launched for one kernel invocation - it defines total problem coverage and how work is distributed across all SMs in the device. What…
grid load balancing prediction, grid load balancing, load balancing prediction, grid load, load balancing, balancing prediction
Grid Load Balancing Prediction Introduction & Motivation Grid Load Balancing Prediction addresses a central problem in energy process control and prediction-accuracy-mape…
hyperparameter tuning, exhaustive
Grid Search is a hyperparameter tuning technique that exhaustively evaluates all combinations of specified parameter values — testing every possibility to find optimal…
model training
Grid search is a hyperparameter optimization method that exhaustively evaluates all possible combinations from a predefined grid of hyperparameter values, guaranteeing that…
grid search exhaustive parameter exploration and systematic tuning, grid search exhaustive, search exhaustive parameter, exhaustive parameter exploration, grid search
Grid Search Exhaustive Parameter Exploration and Systematic Tuning Introduction & Motivation Grid Search Exhaustive Parameter Exploration and Systematic Tuning addresses a central…
Grid Search Hyperparameter Optimization Introduction & Motivation Grid Search Hyperparameter Optimization addresses a central problem in optimization algorithm tuning…
grid tied inverter, grid connected inverter, bidirectional inverter, grid forming inverter
Grid-tied inverter. connects a DC source or storage system to an AC utility network and exchanges controlled real and reactive power while satisfying synchronization, protection…
data augmentation
GridMix is a data augmentation technique that divides images into a grid and randomly assigns each cell to one of two training images — creating a checkerboard-like mixing pattern…
grinding wheel dressing frequency prediction machine learning, grinding wheel, dressing frequency prediction, grinding wheel dressing frequency prediction, wheel dressing
Grinding Wheel Dressing Frequency Prediction with Machine Learning Introduction & Motivation Grinding Wheel Dressing Frequency Prediction with Machine Learning addresses a central…
gripper design finger, gripper design, design finger
Gripper Design Finger Introduction & Motivation Gripper Design Finger addresses a central problem in robotics process control and gripper-jaw-grasp-type prediction: how to Predict…
training phenomena
Grokking is the phenomenon where neural networks suddenly achieve perfect generalization on held-out data long after memorizing the training set and achieving near-zero training…
training phenomena
Grokking is a training phenomenon where a model suddenly generalizes long after memorizing the training data — the model first achieves perfect training accuracy (memorization)…
neural network grokking, double descent generalization, memorization to generalization transition, phase transition learning
Grokking and Delayed Generalization in Neural Networks is the phenomenon where a neural network first memorizes training data achieving perfect training accuracy, then much later…
cerebras, custom chip
Custom AI Accelerator Chips AI Chip Landscape Company Chip Focus NVIDIA H100, B200 General AI Groq LPU Low-latency inference Cerebras WSE-3 Largest chip, training Google TPU v5…
yield enhancement
Gross Die is the total number of potential die sites geometrically available on a wafer before yield loss - It defines theoretical output capacity at a given die size and wafer…
gross die per wafer forecast prediction, gross die per, die per wafer, per wafer forecast, wafer forecast prediction, gross die, die per, per wafer, wafer forecast, forecast prediction
Gross Die Per Wafer Forecast Prediction with Machine Learning Introduction & Motivation Gross Die Per Wafer Forecast Prediction with Machine Learning addresses a central problem…
industry
Gross margin is revenue minus cost of goods sold (COGS), expressed as a percentage of revenue. It measures how efficiently a semiconductor company converts revenue into profit…
business & strategy
Gross Margin is the percentage of revenue remaining after subtracting cost of goods sold, indicating core product profitability - It is a core method in advanced semiconductor…
design
Ground bounce (also called ground noise or simultaneous switching output noise on ground) is the transient voltage fluctuation on the ground (VSS) network caused by large, rapid…
signal & power integrity
Ground bounce is transient ground-potential variation caused by simultaneous switching currents through package and interconnect inductance - Rapid return-current changes create…
ground bounce ground plane design prediction, ground bounce ground, bounce ground plane, ground plane design, plane design prediction, ground bounce, bounce ground, ground plane
Ground Bounce Ground Plane Design Prediction with Machine Learning Introduction & Motivation Ground Bounce Ground Plane Design Prediction with Machine Learning addresses a central…
PCB ground plane, signal return plane, ground return path, ground stitching
Copper dual damascene interconnect architectures, electrochemical superfilling, and barrier-seed metallization constitute the back-end-of-line (BEOL) wiring systems that route…
design
Grounded-gate NMOS (GGNMOS) is the most widely used ESD protection clamp in CMOS technology, leveraging the parasitic lateral NPN bipolar transistor inherent in every NMOS device…
rag
Grounded generation is the response generation approach that constrains model output to provided evidence rather than unconstrained parametric memory - it is a primary method…
robotics
Grounded Language Learning is the AI research paradigm that acquires language understanding through interaction with physical or simulated environments — learning word…
evaluation
Groundedness is the extent to which generated claims are supported by provided context or verifiable external sources - It is a core method in modern AI fairness and evaluation…
factual, knowledge
Grounding LLM Responses What is Grounding? Grounding ensures LLM outputs are based on reliable sources rather than model parameters alone. It bridges the gap between fluent…
rag
Grounding ensures AI outputs are anchored in retrieved facts rather than generated from potentially unreliable model knowledge. Problem: LLMs may generate plausible but false…
manufacturing operations
Grounding is the creation of low-impedance electrical paths that safely drain static charge to earth reference - It is a core method in modern semiconductor wafer handling…
facility
Grounding and bonding is the electrical interconnection of all conductive objects within an ESD Protected Area to a common earth ground reference — ensuring that no metal fixture…
computer vision
Grounding DINO is a state-of-the-art open-set object detector — combining the transformer-based detection of DINO (DETR variant) with grounded pre-training to detect arbitrary…
rag
Grounding in external knowledge is the practice of anchoring responses in retrieved evidence rather than relying only on model memory - Retrieval pipelines fetch supporting…
neural architecture
Group Convolutions (G-Convolutions) are the mathematical generalization of standard convolution from the translation group to arbitrary symmetry groups — including rotation…
group delay frequency dispersion prediction, group delay frequency, delay frequency dispersion, frequency dispersion prediction, group delay, delay frequency
Group Delay Frequency Dispersion Prediction with Machine Learning Introduction & Motivation Group Delay Frequency Dispersion Prediction with Machine Learning addresses a central…