← Back to Chip Foundry Services

Glossary

988 technical terms and definitions

A B C D E F G H I J K L M N O P Q R S T U V W X Y Z All
Showing page 14 of 20 (988 entries)

intermittent-computing-energy-harvesting machine learning

intermittent computing energy harvesting, intermittent computing energy, computing energy harvesting, intermittent computing, computing energy, energy harvesting

Intermittent Computing Energy Harvesting Introduction & Motivation Intermittent Computing Energy Harvesting addresses a central problem in embedded-systems process control…

internal audit

quality & reliability

Internal Audit is a first-party evaluation of process and system compliance against defined standards - It is a core method in modern semiconductor quality governance…

internal failure costs

quality

Internal failure costs is the losses caused by defects discovered before the product reaches the customer - they are less damaging than external failures but still represent…

internal setup

manufacturing operations

Internal Setup is setup tasks that can only be performed when equipment is stopped - It defines the unavoidable downtime component of changeover. What Is Internal Setup?…

international AI cooperation

Bletchley Declaration, Seoul AI Summit, Paris AI Action Summit, Hiroshima AI Process, UN General Assembly AI resolution, OECD AI Principles, Council of Europe Framework Convention on AI

International AI cooperation is the set of treaties, declarations, summits and standards bodies through which governments try to coordinate how advanced artificial intelligence is…

international roadmap for devices and systems

irds, business

International Roadmap for Devices and Systems (IRDS) is the industry-wide technology forecasting initiative that projects the future evolution of semiconductor devices…

internet

the internet, ARPANET, TCP/IP, Vint Cerf, Bob Kahn, network of networks, World Wide Web, NSFNET, flag day 1983

The internet is the global system of interconnected computer networks that exchange data using the TCP/IP family of protocols, and it is best understood as a network of networks…

internlm

shanghai ai, research

InternLM is a series of open-source large language models developed by Shanghai AI Laboratory that delivers strong multilingual performance with specialized variants…

interoperability-cross-chain machine learning

interoperability cross chain, interoperability cross, cross chain

Interoperability Cross Chain Introduction & Motivation Interoperability Cross Chain addresses a central problem in blockchain process control and asset-transfer-cross-chain…

interpolation-methods machine learning

Advanced Interpolation Methods Introduction & Motivation Advanced Interpolation Methods addresses a central problem in timeseries forecasting and interpolation-accuracy-validation…

interposer technology

interposer, silicon interposer, organic interposer, glass interposer, EMIB bridge, 2.5D integration, cowos

Interposers are the substrates that carry 2.5D integration: a die-to-die wiring layer dense enough to route thousands of connections between chiplets that sit side by side.…

interposer

silicon interposer, packaging interposer, cowos, 2.5d packaging, business and strategy

Interposers are the substrates that carry 2.5D integration: a die-to-die wiring layer dense enough to route thousands of connections between chiplets that sit side by side.…

interposer crack propagation prediction machine learning

25d interposer crack propagation prediction, 25d interposer crack, interposer crack propagation, crack propagation prediction, 25d interposer, interposer crack

2.5D Interposer Crack Propagation Prediction with Machine Learning Introduction & Motivation 2.5D Interposer Crack Propagation Prediction with Machine Learning addresses a central…

interposer redistribution crosstalk coupling prediction machine learning

interposer redistribution layer crosstalk coupling prediction, interposer redistribution layer, redistribution layer crosstalk, layer crosstalk coupling

Interposer Redistribution Layer Crosstalk Coupling Prediction with Machine Learning Introduction & Motivation Interposer Redistribution Layer Crosstalk Coupling Prediction…

interposer redistribution layer defect prediction with machine learning

interposer redistribution layer defect prediction machine learning, interposer redistribution, layer defect prediction, rdl, interposer redistribution layer

Interposer Redistribution Layer Defect Prediction with Machine Learning Introduction & Motivation Interposer Redistribution Layer Defect Prediction with Machine Learning addresses…

interposer through via stress keep out zone prediction machine learning

interposer through-via stress keep-out zone prediction, interposer through-via stress, through-via stress keep-out, stress keep-out zone, interposer through-via

Interposer Through-Via Stress Keep-Out Zone Prediction with Machine Learning Introduction & Motivation Interposer Through-Via Stress Keep-Out Zone Prediction with Machine Learning…

interposer warpage thermal cycling prediction machine learning

interposer warpage thermal cycling prediction, interposer warpage thermal, warpage thermal cycling, thermal cycling prediction, interposer warpage, warpage thermal

Interposer Warpage Thermal Cycling Prediction with Machine Learning Introduction & Motivation Interposer Warpage Thermal Cycling Prediction with Machine Learning addresses…

interpretability

explainability, xai

Interpretability asks why a model produced a specific output, and the field's central, uncomfortable tension is between an explanation that looks convincing and an explanation…

interpretability

model interpretability, ml interpretability, mechanistic interpretability, probing, attribution, circuit analysis

Interpretability asks why a model produced a specific output, and the field's central, uncomfortable tension is between an explanation that looks convincing and an explanation…

interpretability

ai safety

Interpretability asks why a model produced a specific output, and the field's central, uncomfortable tension is between an explanation that looks convincing and an explanation…

interpretability

ai safety

Interpretability asks why a model produced a specific output, and the field's central, uncomfortable tension is between an explanation that looks convincing and an explanation…

interpretability and explainability

interpretability explainability, ai lime mnist shap

Interpretability and Explainability Introduction & Motivation Interpretability: understanding model decisions. Explainability: communicating model behavior. Critical for trust…

interpretability explainability

ai lime passed rgb shap, interpretability & explainability

Interpretability asks why a model produced a specific output, and the field's central, uncomfortable tension is between an explanation that looks convincing and an explanation…

interpretability-explainability-methods machine learning

interpretability and explainability methods, interpretability explainability methods, interpretability explainability, explainability methods

Interpretability and Explainability Methods Introduction & Motivation Interpretability and Explainability Methods addresses a central problem in ml-analysis process control…

interpretability-explanation-model machine learning

interpretability explanation model, interpretability explanation, explanation model

Interpretability Explanation Model Introduction & Motivation Interpretability Explanation Model addresses a central problem in systems process control…

interpretability-nlp-explanation machine learning

interpretability nlp explanation, interpretability nlp, nlp explanation

Interpretability NLP Explanation Introduction & Motivation Interpretability NLP Explanation addresses a central problem in nlp process control…

interpretable-anomaly machine learning

Interpretable Anomaly Detection Models Introduction & Motivation Interpretable Anomaly Detection Models addresses a central problem in anomaly detection and {target} scoring: how…

interpretable reasoning

reasoning

Interpretable Reasoning refers to AI reasoning processes and outputs that are transparent, understandable, and verifiable by humans, enabling users to inspect the model's logic…

interquartile range

IQR, 1.5 IQR outlier rule, John Tukey, box plot whiskers, median and IQR pairing

The interquartile range (IQR) is the difference between the third quartile (Q3) and the first quartile (Q1) of a dataset — the span covered by the middle 50% of observations…

interrupt controller

arm gic, apic, ioapic, pic, msi, msi-x, interrupt routing

Interrupt controller collects interrupt events, prioritizes them and routes them to eligible processor cores or execution contexts. It lets CPUs respond efficiently to timers…

interrupt-driven-polling machine learning

interrupt driven polling, interrupt driven, driven polling

Interrupt Driven Polling Introduction & Motivation Interrupt Driven Polling addresses a central problem in systems process control and interrupt-overhead-latency prediction: how…

interrupt-handling-instruction-overhead machine learning

interrupt handling instruction overhead and latency, interrupt handling instruction, handling instruction overhead, instruction overhead latency, interrupt handling

Interrupt Handling Instruction Overhead and Latency Introduction & Motivation Interrupt Handling Instruction Overhead and Latency addresses a central problem in isa process…

interrupt-handling-real-time machine learning

interrupt handling and isr latency, interrupt handling isr, handling isr latency, interrupt handling, handling isr, isr latency

Interrupt Handling and ISR Latency Introduction & Motivation Interrupt Handling and ISR Latency addresses a central problem in real-time process control…

interrupt-latency-predictability machine learning

interrupt latency and predictability in real-time soc, interrupt latency predictability, latency predictability real-time, predictability real-time soc, interrupt latency

Interrupt Latency and Predictability in Real-Time SoC Introduction & Motivation Interrupt Latency and Predictability in Real-Time SoC addresses a central problem in real-time…

interrupt-priority-system-design machine learning

system-level interrupt priority and handling, system-level interrupt priority, interrupt priority handling, system-level interrupt, interrupt priority, priority handling

System-Level Interrupt Priority and Handling Introduction & Motivation System-Level Interrupt Priority and Handling addresses a central problem in integration process control…

intersection over union iou prediction machine learning

intersection over union (iou) prediction and bounding box evaluation, intersection over union, over union (iou), union (iou) prediction, (iou) prediction bounding, intersection over

Intersection over Union (IoU) Prediction and Bounding Box Evaluation Introduction & Motivation Intersection over Union (IoU) Prediction and Bounding Box Evaluation addresses…

interstitial

defects

Interstitial is the point defect formed by an extra atom squeezed into the spaces between regular lattice sites — in silicon it is created by ion implantation at concentrations…

interstitial impurity

defects

Interstitial Impurity is the foreign atom residing between regular lattice sites rather than at a crystal lattice position — small atoms such as transition metals, oxygen…

interstitial space

facility

Interstitial space is the gap between the cleanroom ceiling and building structural ceiling, housing mechanical equipment and utilities. Purpose: Contain HVAC equipment, ductwork…

interval bound propagation

ibp, ai safety

IBP (Interval Bound Propagation) is a neural network verification technique that propagates input intervals through each layer of the network — computing guaranteed lower…

interval scale

interval data, Stevens 1946, arbitrary zero, Celsius, Fahrenheit, levels of measurement, equal intervals

The interval scale is the third level in Stanley Smith Stevens's 1946 typology: values are ordered and the distances between them are equal and meaningful, but the zero point is…

intervention-identification machine learning

Intervention Identification in Causal Graphs Introduction & Motivation Intervention Identification in Causal Graphs addresses a central problem in causal inference and {target}…

interview

prepare, practice

AI Interview Preparation Overview AI is an excellent tool for mock interviews. It can simulate the interviewer, ask follow-up questions, and provide detailed feedback on your…

intest

intest, advanced test & probe

INTEST is a boundary-scan instruction used to test internal logic through boundary-scan infrastructure - Test vectors are routed inward to exercise core logic while responses are…

intra-pair skew

signal & power integrity

Intra-Pair Skew is timing mismatch between the positive and negative conductors of one differential pair - It directly degrades differential signal quality and increases mode…