27,049 technical terms and definitions
gesture recognition real-time, gesture recognition, recognition real-time
Gesture Recognition Real-Time Introduction & Motivation Gesture Recognition Real-Time addresses a central problem in gesture-recognition process control…
gesture recognition robot, gesture recognition, recognition robot
Gesture Recognition Robot Introduction & Motivation Gesture Recognition Robot addresses a central problem in robotics process control and gesture-interpretation-control-command…
Gesture and Pose Recognition Introduction & Motivation Gesture and Pose Recognition addresses a central problem in multimodal learning and gesture-accuracy-classification…
manufacturing operations
Getis-Ord Statistic is a local spatial statistic used to identify where significant hot spots and cold spots occur - It is a core method in modern semiconductor wafer-map…
getter material activation efficiency prediction machine learning, getter material, activation efficiency prediction, getter material activation efficiency prediction
Getter Material Activation Efficiency Prediction with Machine Learning Introduction & Motivation Getter Material Activation Efficiency Prediction with Machine Learning addresses…
packaging
Getter materials is the reactive materials placed inside sealed packages to absorb residual gases and maintain required internal atmosphere - they are commonly used in vacuum…
diffusion
Gettering is the process of trapping metallic impurities (Fe, Cu, Ni, Cr, Co) away from electrically active device regions on the wafer front side by creating preferential…
process
Gettering is the process of intentionally creating defect-rich trap regions in non-critical areas of a silicon wafer to capture and immobilize harmful metallic impurities (Fe, Cu…
gettering process metal contamination reduction prediction, gettering process metal, process metal contamination, metal contamination reduction, gettering process
Gettering Process Metal Contamination Reduction Prediction with Machine Learning Introduction & Motivation Gettering Process Metal Contamination Reduction Prediction with Machine…
gev, audio & speech
GEV Beamforming is generalized eigenvalue beamforming that maximizes signal-to-noise ratio from spatial covariance matrices - It selects filter weights that optimize target versus…
gfpgan, computer vision
GFPGAN is the Generative Facial Prior GAN model for blind face restoration using a pretrained facial prior network - it reconstructs degraded faces by leveraging learned…
c, inference
GGML is a C/C++ tensor library designed for efficient machine learning inference on consumer hardware — created by Georgi Gerganov as the original backend for llama.cpp, GGML…
llama cpp, ggml, local llm inference, quantized llm, llama-server api, model quantization
GGUF (GPT-Generated Unified Format) is the modern model file format used by llama.cpp and related local inference stacks to package LLM weights, tokenizer assets, and runtime…
computer vision
Ghost Convolution is a convolution that generates feature maps using fewer parameters by producing a subset of features through standard convolution and then generating "ghost"…
model optimization
Ghost Module is an efficient feature-generation block that creates additional channels using cheap linear operations - It approximates redundant feature maps at lower cost than…
gibbs sampling markov chain prediction, gibbs sampling markov, sampling markov chain, markov chain prediction, gibbs sampling, sampling markov, markov chain, chain prediction
Gibbs Sampling Markov Chain Prediction with Machine Learning Introduction & Motivation Gibbs Sampling Markov Chain Prediction with Machine Learning addresses a central problem…
band to band tunneling, off state leakage mechanism, GIDL current
Gate-Induced Drain Leakage (GIDL) is the off-state leakage mechanism where a strong electric field in the gate-to-drain overlap region causes band-to-band tunneling (BTBT)…
global interpreter lock, python gil, cpython gil, python threading gil, gil python multithreading, free-threaded python, python nogil, python cpu parallelism, python thread safety
The GIL—Python's Global Interpreter Lock—is a single mutex that prevents more than one thread from executing CPython bytecode simultaneously, a design choice made in 1992 that…
gin, graph neural networks
GIN is a graph-isomorphism network that uses injective neighborhood aggregation to strengthen graph discrimination - Summation-based aggregation with multilayer perceptrons…
testing, quality
Giskard is an open-source AI quality testing framework that automatically scans ML models and LLM applications for vulnerabilities, bias, hallucinations, and performance…
github, version control, branching, commits, pull requests, code review, merge
Git best practices establish version control workflows that enable safe collaboration, clean history, and reliable code management — using branching strategies, commit…
version control, code
Git is the standard distributed version control system — used by 95% of developers to track changes in source code, enabling multiple people to work on the same project…
message, generate
AI Git Commit Messages is the automated generation of meaningful, standardized commit messages from staged code changes (git diff) — replacing the pervasive developer habit…
mlops
Git LFS (Large File Storage) is a specialized Git extension protocol that transparently replaces large binary files (trained model weights, datasets, compiled binaries…
hosting, collaboration
Mercurial (hg): Distributed Version Control Overview Mercurial is a distributed version control system (DVCS), released in 2005 (the same year as Git). Like Git, it allows every…
ci cd pipeline, continuous integration, workflow automation, devops, github workflow
GitHub Actions is GitHub's native CI/CD and workflow automation platform that executes YAML-defined pipelines in response to repository events — enabling teams to automate…
code ai
GitHub Copilot is an AI pair programmer providing real-time code suggestions and completions in the IDE. How it works: Analyzes context (current file, open files, comments…
devops, self host
GitLab is a complete DevOps platform delivered as a single application — providing Git repository hosting, built-in CI/CD pipelines (widely considered the gold standard)…
gitops declarative deployment, gitops declarative, declarative deployment
GitOps Declarative Deployment Introduction & Motivation GitOps Declarative Deployment addresses a central problem in cloud process control and deployment-from-git-repository…
Glaciology: Ice Dynamics, Mass Balance, and Climate Records Glaciology studies snow, glaciers, ice sheets, sea ice, frozen ground, and the evidence they preserve about climate.…
glam, generalist language model, foundation model
GLaM (Generalist Language Model) is Google's sparse Mixture of Experts language model containing 1.2 trillion parameters that demonstrated how MoE architectures can achieve…
glass core substrate defect prediction machine learning, glass core, substrate defect prediction, glass core substrate defect prediction, glass core substrate, core substrate
Glass Core Substrate Defect Prediction with Machine Learning Introduction & Motivation Glass Core Substrate Defect Prediction with Machine Learning addresses a central problem…
glass core substrate warpage prediction, glass core substrate, core substrate warpage, substrate warpage prediction, glass core, core substrate, substrate warpage, warpage prediction
Glass Core Substrate Warpage Prediction with Machine Learning Introduction & Motivation Glass Core Substrate Warpage Prediction with Machine Learning addresses a central problem…
Active Learning for Glass-Core Substrates Active Learning for Glass-Core Substrates Introduction Active Learning for Glass-Core Substrates is an engineering workflow…
Anomaly Detection for Glass-Core Substrates Anomaly Detection for Glass-Core Substrates Introduction Anomaly Detection for Glass-Core Substrates is an engineering workflow…
Bayesian Parameter Estimation for Glass-Core Substrates Bayesian Parameter Estimation for Glass-Core Substrates Introduction Bayesian Parameter Estimation for Glass-Core…
Causal Process Modeling for Glass-Core Substrates Causal Process Modeling for Glass-Core Substrates Introduction Causal Process Modeling for Glass-Core Substrates is…
Chamber Matching for Glass-Core Substrates Chamber Matching for Glass-Core Substrates Introduction Chamber Matching for Glass-Core Substrates is an engineering workflow…
Closed-Loop Yield Learning for Glass-Core Substrates Closed-Loop Yield Learning for Glass-Core Substrates Introduction Closed-Loop Yield Learning for Glass-Core Substrates is…
Contamination Monitoring for Glass-Core Substrates Contamination Monitoring for Glass-Core Substrates Introduction Contamination Monitoring for Glass-Core Substrates is…
Cost and Cycle-Time Optimization for Glass-Core Substrates Cost and Cycle-Time Optimization for Glass-Core Substrates Introduction Cost and Cycle-Time Optimization for Glass-Core…
Critical Dimension Prediction for Glass-Core Substrates Critical Dimension Prediction for Glass-Core Substrates Introduction Critical Dimension Prediction for Glass-Core…
Defect Excursion Detection for Glass-Core Substrates Defect Excursion Detection for Glass-Core Substrates Introduction Defect Excursion Detection for Glass-Core Substrates is…
Design of Experiments for Glass-Core Substrates Design of Experiments for Glass-Core Substrates Introduction Design of Experiments for Glass-Core Substrates is an engineering…
Digital Twin Calibration for Glass-Core Substrates Digital Twin Calibration for Glass-Core Substrates Introduction Digital Twin Calibration for Glass-Core Substrates is…
Edge AI Deployment for Glass-Core Substrates Edge AI Deployment for Glass-Core Substrates Introduction Edge AI Deployment for Glass-Core Substrates is an engineering workflow…
Endpoint Detection for Glass-Core Substrates Endpoint Detection for Glass-Core Substrates Introduction Endpoint Detection for Glass-Core Substrates is an engineering workflow…
Equipment Health Monitoring for Glass-Core Substrates Equipment Health Monitoring for Glass-Core Substrates Introduction Equipment Health Monitoring for Glass-Core Substrates is…
Fault Detection and Classification for Glass-Core Substrates Fault Detection and Classification for Glass-Core Substrates Introduction Fault Detection and Classification…
Federated Learning for Glass-Core Substrates Federated Learning for Glass-Core Substrates Introduction Federated Learning for Glass-Core Substrates is an engineering workflow…