29,067 technical terms and definitions
Steve Wozniak, 6502 computer, VisiCalc, expansion slots, early personal computer, Apple Computer
The Apple II was a personal computer introduced by Apple in 1977, one of the machines that defined the early personal-computer era and a landmark in bringing computing…
apple m1, what is apple m1
Apple introduced M1 in November 2020 as its first Mac-focused system-on-chip in the Apple silicon transition. The chip combined CPU, graphics, machine-learning, media, security…
Apple M series, Apple M4, Apple A series, Apple custom SoC, unified memory architecture
Apple silicon. is Apple’s family of custom ARM-based systems on chip for iPhone, iPad, Mac, Watch, Vision products, and related devices. The strategy vertically integrates CPU…
application software, app, desktop application, mobile app, web application, killer app, VisiCalc
An application, often shortened to app, is a program designed to help a person carry out a specific task, such as writing a document, browsing the web, editing photographs…
application processor, what is application processor
An application processor runs the main application and operating-system workload of a device. In a smartphone or tablet, that role commonly includes user software, interface…
application processor performance per watt prediction, application processor performance, processor performance per, performance per watt, per watt prediction, per watt
Application Processor Performance Per Watt Prediction with Machine Learning Introduction & Motivation Application Processor Performance Per Watt Prediction with Machine Learning…
ASIC full term, custom chip, specialized silicon, design cost tradeoff, high-volume chip
An application-specific integrated circuit, the full term abbreviated as ASIC, is a chip custom-designed to perform a particular function for a particular product, in contrast…
Applied Materials semiconductor equipment, AMAT equipment, Endura PVD, Producer CVD, Reflexion CMP
Applied Materials. is a major semiconductor and display equipment company supplying systems, process modules, services, and technology used to create and inspect material…
quality
Appraisal costs is the quality expenses for inspection, testing, and auditing used to detect defects before shipment - they do not directly improve process capability but serve as…
ai safety
Appropriate refusals is the safety behavior where models refuse genuinely harmful requests while correctly allowing benign requests that use similar language - appropriateness…
computing, circuit, design, error, tolerance
Approximate Computing Circuit Design is a methodology intentionally relaxing computation accuracy to reduce power, area, and latency in applications tolerant of small errors…
computing, parallel, relaxation, accuracy
Approximate Computing Parallel Relaxation is a distributed computing approach intentionally trading computation accuracy for reduced communication and synchronization overhead…
approximate bayesian computation, abc, statistics
Approximate Bayesian Computation (ABC) is a family of likelihood-free inference methods that estimate posterior distributions for models where the likelihood function p(D θ) is…
design
Approximate computing is the design approach that intentionally allows bounded output inaccuracy to gain significant improvements in energy, latency, or silicon area - it is…
model optimization
Approximate Computing is a design strategy that allows controlled numerical approximation to reduce energy and compute cost - It accepts bounded error in exchange for significant…
approximate computing for energy efficiency, approximate computing energy, computing energy efficiency, approximate computing, computing energy, energy efficiency
Approximate Computing for Energy Efficiency Introduction & Motivation Approximate Computing for Energy Efficiency addresses a central problem in approximate-comp process control…
approximate nearest neighbor, approximate nearest, nearest neighbor
Approximate Nearest Neighbor Introduction & Motivation Approximate Nearest Neighbor addresses a central problem in systems process control and ann-query-latency-accuracy-trade-off…
ann, rag
Approximate nearest neighbors is the vector-search strategy that trades exact nearest-neighbor guarantees for major speed and scale gains - ANN enables low-latency retrieval over…
Faiss GPU Approximate Nearest Neighbor Indexing Introduction & Motivation Faiss GPU Approximate Nearest Neighbor Indexing addresses a central problem in recsys systems…
approximation algorithm analysis, approximation algorithm, algorithm analysis
Approximation Algorithm Analysis Introduction & Motivation Approximation Algorithm Analysis addresses a central problem in algorithms process control…
apqp, quality & reliability
APQP is advanced product quality planning, a structured framework for quality risk prevention across product development stages - It aligns design, process planning, and control…
aql, quality & reliability
AQL is acceptable quality level defining the maximum defect rate considered satisfactory for routine lot acceptance - It sets the quality target used to design acceptance sampling…
evaluation
AQuA-RAT (Algebra Question Answering with Rationales) is the 100,000-question algebra dataset where every problem comes with a human-written natural language rationale explaining…
aquila optimization algorithm, aquila optimization, optimization algorithm
Aquila Optimization Algorithm Introduction & Motivation Aquila Optimization Algorithm addresses a central problem in ml process control and convergence-iterations-to-solution…
ar coating reflectivity drift prediction machine learning, ar coating, reflectivity drift prediction, ar, ar coating reflectivity drift prediction, ar coating reflectivity
AR Coating Reflectivity Drift Prediction with Machine Learning Introduction & Motivation AR Coating Reflectivity Drift Prediction with Machine Learning addresses a central problem…
augmented reality compute and latency, augmented reality compute, reality compute latency, augmented reality, reality compute, compute latency
Augmented Reality Compute and Latency Introduction & Motivation Augmented Reality Compute and Latency addresses a central problem in application process control…
augmented reality hardware, augmented reality, reality hardware
Augmented Reality Hardware Introduction & Motivation Augmented Reality Hardware addresses a central problem in application process control and latency prediction: how to Predict…
ar hardware
AR Hardware Introduction & Motivation AR Hardware addresses a central problem in application process control and latency prediction: how to Predict latency from ar-hw process…
augmented reality computing latency, augmented reality computing, reality computing latency, augmented reality, reality computing, computing latency
Augmented Reality Computing Latency Introduction & Motivation Augmented Reality Computing Latency addresses a central problem in application process control and ar-latency-comfort…
ar-lsat, evaluation
AR-LSAT (Analytical Reasoning from the Law School Admission Test) is the constraint satisfaction benchmark derived from the "Logic Games" section of the LSAT — presenting models…
ar/vr rendering latency, ar/vr rendering, rendering latency
AR/VR Rendering Latency Introduction & Motivation AR/VR Rendering Latency addresses a central problem in augmented-reality process control and frame-latency-milliseconds…
computer vision
Arbitrary style transfer is a neural network technique that transfers artistic style from any reference image to a content image without requiring model retraining — enabling…
arc, evaluation
ARC is a science question-answering benchmark with easy and challenge splits for reasoning evaluation - It is a core method in modern AI evaluation and safety execution workflows.…
structured prediction
Arc-eager is a dependency-parsing transition system that allows earlier attachment decisions than arc-standard - Arc actions can attach dependents as soon as heads are available…
structured prediction
Arc-standard is a transition system for dependency parsing that builds trees using shift and arc operations - Stack-based actions create dependencies after both head and dependent…
arcade hardware, custom graphics chip, sound chip, sprite hardware, video game silicon
Arcade game chips refers to the integrated circuits — processors, custom graphics and sound chips, and supporting logic — that powered the coin-operated video arcade games that…
arcface angular margin loss and angular separation, arcface angular margin, angular margin loss, margin loss angular, loss angular separation, arcface angular, angular margin
ArcFace Angular Margin Loss and Angular Separation Introduction & Motivation ArcFace Angular Margin Loss and Angular Separation addresses a central problem in ArcFace angular…
GARCH Volatility Modeling and Variance Forecasting Introduction & Motivation GARCH Volatility Modeling and Variance Forecasting addresses a central problem in timeseries…
Archaeology: Material Culture, Excavation, and Chronology Archaeology studies human pasts through material remains, landscapes, built environments, and relationships with living…
design, system
AI for System Design is the use of large language models as "Staff Engineer" sparring partners for designing large-scale distributed systems — where the AI helps calculate…
neural architecture search
Architecture Crossover is evolutionary NAS operator combining parts of two parent architectures into a child design. - It recombines successful building blocks to explore…
architecture decision record, architecture decision, decision record
Architecture Decision Record Introduction & Motivation Architecture Decision Record addresses a central problem in programming process control…
neural architecture search
Architecture Encoding is numerical representation of neural network topology used by controllers and predictors. - Encodings convert discrete graph structures into…
content creation
Architecture generation is the process of using AI and computational tools to create architectural designs — producing building concepts, floor plans, facades, and 3D models…
hierarchical context mechanism, multi-level context
Hierarchical context is the context organization method that represents information at multiple levels such as token, chunk, section, and document to improve long-input reasoning…
neural architecture search
Architecture Mutation is local architecture modification operator used in evolutionary or random NAS exploration. - It perturbs operations or connectivity to explore nearby model…
Architecture Search for Quantized Networks Introduction & Motivation Architecture Search for Quantized Networks addresses a central problem in automated design of nas…
Architecture Search for Quantized Networks (Extended Study) Introduction & Motivation Architecture Search for Quantized Networks (Extended Study) addresses a central problem…
Architecture Search for Quantized Networks (Extended Study) Introduction & Motivation Architecture Search for Quantized Networks (Extended Study) addresses a central problem…
arde, arde (aspect ratio dependent etch), etch
Aspect ratio dependent etching (ARDE), also termed reactive ion etch (RIE) lag or microloading, is the fundamental transport-limited plasma phenomenon wherein the vertical etch…