29,259 technical terms and definitions
x-ray photoelectron spectroscopy, xps, xps analysis
Read XPS through a binding-energy and chemical-state lens rather than a survey or element-presence lens. This fundamental shift in perspective transforms how we interpret X-ray…
xpeem, photoemission electron microscopy, x-ray peem, xpeem semiconductor, chemical imaging peem, magnetic domain xpeem
X-ray photoemission electron microscopy turns a surface-sensitive electron-yield measurement into a full-field image. Tunable X-rays illuminate a field of view, a cathode lens…
x-ray reflectivity thin film density prediction, x-ray reflectivity thin, reflectivity thin film, thin film density, film density prediction, x-ray reflectivity
X-Ray Reflectivity Thin Film Density Prediction with Machine Learning Introduction & Motivation X-Ray Reflectivity Thin Film Density Prediction with Machine Learning addresses…
xrr, xrr thin film measurement, xrr thickness density roughness, specular x-ray reflectivity
X-ray reflectivity measurement accuracy depends heavily on how well the specific underlying optical model actually used to fit the measured reflectivity data represents the real…
CDSAXS, XRR reflectometry, GISAXS grazing incidence, synchrotron lab source, buried structure measurement, sub nanometer sensitivity, model robust metrology
X-ray scatterometry uses X-ray diffraction and scattering, rather than visible or near-visible light, to measure nanoscale semiconductor structure dimensions — and the entire…
failure analysis advanced
X-ray tomography is a three-dimensional imaging method that reconstructs internal package and board structures from multiple x-ray projections - Computed reconstruction combines…
design & verification
X-State Handling is test methodologies that control, mask, or bound unknown logic states during scan and compaction - It is a core technique in advanced digital implementation…
x3d, video understanding
X3D is the efficient video architecture family that expands a compact seed network along multiple dimensions such as depth, width, resolution, and frame rate to find strong…
what is x86-64, x86-64 definition
x86-64 is the 64-bit extension of the x86 instruction-set architecture pioneered by AMD. AMD’s documentation calls its implementation AMD64, while Intel documents Intel 64. These…
Trust Calibration Metrics in Human-AI Interaction Introduction & Motivation Trust Calibration Metrics in Human-AI Interaction addresses a central problem in explainability…
x-ray absorption near-edge structure, xanes spectroscopy, xanes oxidation state, xanes semiconductor, xanes metrology
X-ray absorption near-edge structure is the strongly featured portion of an absorption spectrum around an element-specific core edge. A few tens of electronvolts can carry…
optimization
Xavier initialization sets a neural network's own initial random weight values specifically scaled according to that particular layer's own number of input and output connections…
recommendation systems
xDeepFM is a recommendation architecture combining explicit and implicit high-order feature interactions. - It integrates compressed interaction networks with deep components…
xfib, failure analysis advanced
XFIB (cross-sectional focused ion beam) mills a precisely targeted cross-section through a specific location on a device using a focused ion beam, exposing an internal structure…
popular, regularized
XGBoost (eXtreme Gradient Boosting) is the most influential gradient boosting library in machine learning history — dominating Kaggle competitions from 2014 to 2020, winning…
xgboost extreme gradient boosting prediction, xgboost extreme gradient, extreme gradient boosting, gradient boosting prediction, xgboost extreme, extreme gradient
XGBoost Extreme Gradient Boosting Prediction with Machine Learning Introduction & Motivation XGBoost Extreme Gradient Boosting Prediction with Machine Learning addresses a central…
xgboost gradient boosting, xgboost gradient, gradient boosting
XGBoost Gradient Boosting Introduction & Motivation XGBoost Gradient Boosting addresses a central problem in ml process control and model-performance-accuracy prediction: how…
xiànzài, 现在keyword, xiànzài, now right now
现在 拼音：xiàn zài 意思：now / right now（现在） 现 xiàn — present / appear 在 zài — at / exist 例句： 现在几点？Xiànzài jǐ diǎn? — What time is it now? 我现在很好。Wǒ xiànzài hěn hǎo. — I am fine now.…
xiǎo, 小字, xiǎo meaning, small little
小 拼音：xiǎo 意思：small / little（小） 例词： 小朋友 — young child 小心 — be careful 小学 — primary school 大小 — size 例句： 这只猫很小。Zhè zhī māo hěn xiǎo. — This cat is very small. 小心，有车！Xiǎoxīn, yǒu…
xièxie, 谢谢keyword, thank you chinese
谢谢 拼音：xiè xie 意思：thank you（谢谢） 用法：最常用的礼貌用语。 回应： 不客气 bú kèqi — You're welcome 没事 méi shì — No problem 例句： 谢谢你！Xièxie nǐ! — Thank you! 谢谢老师。Xièxie lǎoshī. — Thank you, teacher.…
FPGA inventor, programmable logic company, Ross Freeman, fabless company, field-programmable gate array
Xilinx is the company that pioneered the field-programmable gate array, founded in the mid-1980s and credited with inventing and commercializing the FPGA, a type of chip whose…
accelerated linear algebra, compiler, fusion, tensorflow, jax
XLA (Accelerated Linear Algebra) is a domain-specific compiler that optimizes TensorFlow and JAX computations — performing whole-program optimization including operation fusion…
xla, infrastructure
XLA is the domain-specific linear algebra compiler stack that optimizes ML graphs for CPU, GPU, and TPU backends - it performs aggressive graph transformations and kernel fusion…
xla, model optimization
XLA is an optimizing compiler for linear algebra that accelerates TensorFlow and JAX workloads - It improves performance through graph-level fusion and backend-specific code…
foundation model
XLNet uses permutation language modeling to capture bidirectional context while maintaining autoregressive pre-training benefits. Problem addressed: BERT uses artificial MASK…
xlnet autoregressive pretraining, xlnet autoregressive, autoregressive pretraining, bert glue plm qa
XLNet - Autoregressive Pretraining Introduction & Motivation XLNet: permutation language modeling for autoregressive pre-training. Overcomes BERT limitations. Applications…
xlnet autoregressive pre-training and permutation language modeling, xlnet autoregressive pre-training, autoregressive pre-training permutation, pre-training permutation language
XLNet Autoregressive Pre-Training and Permutation Language Modeling Introduction & Motivation XLNet Autoregressive Pre-Training and Permutation Language Modeling addresses…
foundation model
XLNet is a generalized autoregressive language model that uses permutation language modeling — instead of predicting tokens left-to-right, XLNet learns to predict each token…
cross-lingual nli, multilingual benchmark
XNLI (Cross-lingual Natural Language Inference) is a multilingual NLI benchmark spanning 15 languages — testing whether models can perform natural language inference across…
model optimization
XNOR-Net is an optimized binary neural network architecture — that approximates full-precision convolutions using XNOR (exclusive-NOR) operations and popcount, achieving ~58x…
xpos, extrapolatable position embedding
xPos (Extrapolatable Position Embedding) is an advanced position encoding method that enables transformers to generalize to sequence lengths far beyond those seen during training…
xps charge compensation drift prediction machine learning, xps charge, compensation drift prediction, xps, xps charge compensation drift prediction, xps charge compensation
XPS Charge Compensation Drift Prediction with Machine Learning Introduction & Motivation XPS Charge Compensation Drift Prediction with Machine Learning addresses a central problem…
XPS surface analysis, X-ray photoelectron spectroscopy, ESCA, XPS chemical state, XPS binding energy, XPS depth profile
X-ray photoelectron spectroscopy is a surface analysis technique that identifies the elemental composition and chemical bonding states of the outermost few nanometers of a solid…
xps surface composition drift prediction, xps surface composition, surface composition drift, composition drift prediction, xps surface, surface composition, composition drift
XPS Surface Composition Drift Prediction with Machine Learning Introduction & Motivation XPS Surface Composition Drift Prediction with Machine Learning addresses a central problem…
xrd wafer stress, xrd crystal quality, rocking curve analysis, semiconductor xrd
X-ray diffraction (XRD) metrology measures a semiconductor sample's crystal structure, lattice strain, and crystalline quality by analyzing the angular pattern of X-rays…
xrd crystal orientation drift prediction, xrd crystal orientation, crystal orientation drift, orientation drift prediction, xrd crystal, crystal orientation, orientation drift
XRD Crystal Orientation Drift Prediction with Machine Learning Introduction & Motivation XRD Crystal Orientation Drift Prediction with Machine Learning addresses a central problem…
xrd strain measurement drift prediction machine learning, xrd strain, measurement drift prediction, xrd, xrd strain measurement drift prediction, xrd strain measurement
XRD Strain Measurement Drift Prediction with Machine Learning Introduction & Motivation XRD Strain Measurement Drift Prediction with Machine Learning addresses a central problem…
x-ray diffraction, xrd, rocking curve analysis
X-ray diffraction reads a crystal by listening for angles where scattered wavefronts reinforce rather than cancel. A collimated, monochromatic beam strikes a sample and—whenever…
xrf composition analysis accuracy, xrf composition analysis, composition analysis accuracy, xrf composition, composition analysis, analysis accuracy
XRF Composition Analysis Accuracy with Machine Learning Introduction & Motivation XRF Composition Analysis Accuracy with Machine Learning addresses a central problem in X-ray…
metrology improving x-ray fluorescence (xrf) accuracy for composition analysis, metrology improving x-ray, improving x-ray fluorescence, x-ray fluorescence (xrf), metrology improving
Metrology: Improving X-ray fluorescence (XRF) accuracy for composition analysis Introduction & Motivation Metrology: Improving X-ray fluorescence (XRF) accuracy for composition…
xrf composition analysis accuracy, xrf composition analysis, composition analysis accuracy, xrf composition, composition analysis, analysis accuracy
XRF Composition Analysis Accuracy with Machine Learning Introduction & Motivation XRF Composition Analysis Accuracy with Machine Learning addresses a central problem in X-ray…
xrf film composition measurement drift prediction machine learning, xrf film, composition measurement drift, xrf, xrf film composition measurement drift prediction
XRF Film Composition Measurement Drift Prediction with Machine Learning Introduction & Motivation XRF Film Composition Measurement Drift Prediction with Machine Learning addresses…
xrf thin film composition drift prediction, xrf thin film, thin film composition, film composition drift, composition drift prediction, xrf thin, thin film, film composition
XRF Thin Film Composition Drift Prediction with Machine Learning Introduction & Motivation XRF Thin Film Composition Drift Prediction with Machine Learning addresses a central…
xrf, x-ray fluorescence, xrf metrology, xrf thin film composition, xrf film thickness
X-ray fluorescence converts the discrete energies and intensities of emitted characteristic X-rays into an elemental account of a film, coating, wafer, or bulk material.…
xué, 学字, xué meaning, study learn
学 拼音：xué 意思：study / learn / school（学习） 例词： 学习 — study / learn 学校 — school 学生 — student 学中文 — learn Chinese 例句： 我在学中文。Wǒ zài xué Zhōngwén. — I am learning Chinese. 学校在哪里？Xuéxiào…
y-fast trie hierarchy, y-fast trie, trie hierarchy
Y-Fast Trie Hierarchy Introduction & Motivation Y-Fast Trie Hierarchy addresses a central problem in data-structures process control and query-latency-logarithmic prediction: how…
yánsè, 颜色keyword, colors chinese, color words
颜色 — Colors in Chinese 拼音：yán sè 意思：color（颜色） 常见颜色： 红 hóng — red 橙 chéng — orange 黄 huáng — yellow 绿 lǜ — green 蓝 lán — blue 紫 zǐ — purple 黑 hēi — black 白 bái — white 灰 huī — gray…
yǒu, 有字, yǒu meaning, have has
有 拼音：yǒu 意思：have / has / there is（有） 例词： 有人 — there is someone 没有 — don't have / there is not 有意思 — interesting 例句： 我有一本书。Wǒ yǒu yī běn shū. — I have a book. 这里有没有水？Zhèlǐ yǒu…
architecture
YaRN is the a RoPE scaling method for extending transformer context windows by adjusting rotary position encoding behavior to remain stable at longer lengths - it is used…
yarn, yet another rope extension
YaRN (Yet Another RoPE extensioN) is a state-of-the-art context length extension method for RoPE-based large language models that combines NTK-aware interpolation with attention…