29,259 technical terms and definitions
computational mathematics, numerical computation, numerical error analysis, scientific computing foundations, approximation algorithms, roundoff and truncation error
Numerical analysis studies how continuous and discrete mathematical problems become reliable finite computations. It asks whether a problem is sensitive to its data, whether…
numerical aperture, na, lithography
Numerical Aperture (NA) is the fundamental optical parameter that determines a lithography lens's ability to resolve fine features — defined as NA = n × sin(θ) where n is…
discrete vs continuous numerical data, interval vs ratio scale, quantitative data
Numerical data is data expressed as numbers that measure a quantity — height, revenue, temperature, count of items sold — and the defining property that separates it…
Numerical Linear Algebra: Decompositions and Eigenvalue Computation 1. Why numerical linear algebra matters Scientific computing depends on solving linear systems Ax = b…
Numerical Linear Algebra: Matrix Factorizations, SVD, QR Decomposition, and Iterative Eigensolvers Numerical linear algebra converts the abstract theorems of matrix theory into…
FEM FDM FVM, finite element, finite difference, conjugate gradient, monte carlo, level set, TCAD simulation, computational methods
Every step in a semiconductor process is, underneath, a partial differential equation nobody can solve with pencil and paper. Dopants diffuse, fields settle, plasma etches, light…
Numerical Methods for ODEs: Runge-Kutta, Multistep, and Stiff Solvers Ordinary differential equations (ODEs) model dynamical systems across all scientific disciplines — orbital…
quantitative variable, numeric feature, feature scaling, binning, discretization, measurement variable
A numerical variable is a variable whose values are numbers on which arithmetic is meaningful — height, income, number of children, reaction time, temperature — so differences…
evaluation
NumGLUE is the multi-task benchmark specifically targeting the numerical reasoning capabilities of NLP models — aggregating 8 distinct datasets that require quantitative…
ndarray, numpy array, numpy broadcasting, numpy vectorization, numpy linear algebra, numpy indexing, numpy strides, numpy ufunc, numpy performance, numerical python, numpy vs python list
NumPy is a Python library that stores numerical data in contiguous, typed memory buffers (the ndarray) and dispatches arithmetic over those buffers to optimized C and Fortran…
Nutrition Science: Metabolism, Diet, and Health Nutrition science studies how foods and nutrients support energy balance, growth, repair, and health across the life course. It…
NVIDIA accelerator, H100 GPU, B200 GPU, Blackwell GPU, CUDA GPU, nvidia, nvidia corporation, jensen huang, nvidia ai
NVIDIA GPU. is a massively parallel processor and surrounding platform used for graphics, AI training and inference, scientific computing, simulation, media, and data analytics.…
nvidia a100, what is nvidia a100
NVIDIA A100 is NVIDIA's Ampere-generation data-center GPU, introduced in May 2020 for AI training, inference, scientific computing, and other highly parallel workloads…
nvidia geforce 256, what is nvidia geforce 256
GeForce 256 was NVIDIA’s 1999 graphics processor associated with integrated hardware transform and lighting. Its historical importance is the movement of more geometry work…
nsight compute, nsight systems, gpu profiling nvidia
NVIDIA Nsight is the NVIDIA profiling suite for detailed analysis of GPU kernels, memory behavior, and system-level execution timelines - it enables deep diagnosis of performance…
nvidia rubin, what is nvidia rubin
NVIDIA Rubin names both a specific data-center GPU generation following Blackwell and the broader Vera Rubin platform that pairs that Rubin GPU with a Vera CPU, NVLink 6…
nvidia tesla, what is nvidia tesla
NVIDIA Tesla was a GPU-computing product line introduced in 2007. The company’s June 2007 product literature positioned it for scientific and engineering computation…
nvidia volta, what is nvidia volta
Volta is an NVIDIA GPU architecture introduced commercially with the Tesla V100 in 2017. The architecture is a design generation rather than a single board configuration or one…
gb200 nvl72, rack scale, rack scale computing, nvlink fabric, nvlink switch fabric
Rack-scale computing is the recognition that a single AI training or inference job has outgrown any one server, so the unit of design has moved from the chip to the entire rack.…
pcie, interconnect, bandwidth, gpu, nvswitch, nccl
NVLink is NVIDIA's high-bandwidth interconnect for GPU-to-GPU and GPU-to-CPU communication — providing 600-900 GB/s bidirectional bandwidth compared to PCIe's 64 GB/s, enabling…
infrastructure
NVLink is NVIDIA's high-bandwidth interconnect that wires GPUs directly to one another so they can read and write each other's memory far faster than over the standard PCIe bus.…
gpu interconnect, peer to peer gpu, p2p access, multi-gpu communication
NVLink is NVIDIA's high-bandwidth GPU-to-GPU interconnect — providing substantially higher bandwidth and lower latency than PCIe for multi-GPU systems, enabling efficient…
nvlink bandwidth topology, nvswitch fabric architecture, nvlink vs pcie performance, multi gpu nvlink
NVLink Interconnect is NVIDIA's proprietary high-bandwidth, low-latency GPU-to-GPU interconnect that provides 10-15× higher bandwidth than PCIe — enabling direct GPU memory access…
gpu interconnect comparison, pcie gpu, nvlink bandwidth, gpu to gpu communication
GPU Interconnect Technologies (NVLink vs. PCIe vs. NVSwitch) are the communication fabrics that connect GPUs to each other and to CPUs — where the bandwidth, latency, and topology…
gpu interconnect nvlink, nvlink bandwidth, nvswitch all to all, multi gpu communication
NVLink and NVSwitch are NVIDIA's proprietary high-bandwidth, low-latency interconnect technologies that connect GPUs within a server at bandwidths far exceeding PCIe — where…
nvm write disturb prediction, nvm write disturb, write disturb prediction, nvm write, write disturb, disturb prediction
NVM Write Disturb Prediction with Machine Learning Introduction & Motivation NVM Write Disturb Prediction with Machine Learning addresses a central problem in non-volatile memory…
infrastructure
NVSwitch is the switching fabric that interconnects multiple GPUs with high-bandwidth non-blocking communication inside accelerated systems - it provides uniform, scalable…
nvswitch topology design, gpu fabric nvswitch, nvswitch routing protocol, multi nvswitch configuration
NVSwitch Fabric Architecture is the switched interconnect topology that provides full non-blocking, all-to-all connectivity among GPUs using dedicated NVSwitch chips — each switch…
llm architecture
Nyströmformer is an efficient Transformer architecture that approximates the full softmax attention matrix using the Nyström method—a classical technique for approximating large…
architecture
Nystromformer is transformer variant using Nystrom low-rank approximation to estimate full attention matrices - It is a core method in modern semiconductor AI serving…
oasis, design
OASIS (Open Artwork System Interchange Standard) is the next-generation IC layout file format designed to replace GDSII — offering superior compression, no file size limits…
oauth2 authorization protocol, oauth2 authorization, authorization protocol
OAuth2 Authorization Protocol Introduction & Motivation OAuth2 Authorization Protocol addresses a central problem in security-protocols process control…
adversarial defense, gradient attack
Obfuscated gradients are a class of adversarial defense mechanisms that make gradient-based attacks harder by breaking or masking the gradient signal used to craft adversarial…
ai safety
Obfuscation attacks is the prompt-attack method that hides harmful intent using encoding, misspelling, or transformation tricks to evade filters - it targets weaknesses in lexical…
obirch, failure analysis advanced
OBIRCH (optical beam induced resistance change) scans a laser across a biased device and monitors current changes caused by localized heating altering resistance at the laser's…
optical beam induced resistance change, failure analysis, laser scanning, resistive defect localization, electromigration void detection, non-destructive analysis, EMMI complementary technique, interconnect failure analysis
Optical beam induced resistance change (OBIRCH) is a laser-based failure analysis technique that scans a focused laser beam across a powered, functioning chip while continuously…
robotics
Object affordances are the action possibilities that objects offer to agents — representing what actions can be performed with objects (grasp, push, pour, sit on, etc.), enabling…
computer vision
Object-Centric Learning is a paradigm in machine learning that aims to learn representations where individual objects in a scene are represented as separate, structured entities…
slot attention, binding problem, compositional scene, object discovery
Object-Centric Learning is the unsupervised or self-supervised approach to learning representations that decompose visual scenes into individual object representations (slots)…
multimodal ai
Object-Centric NeRF is a NeRF formulation that models scenes as separate object-level radiance components - It supports compositional editing and independent object manipulation.…
yolo, rt-detr, faster r-cnn, ssd, bounding box detection
Object detection answers two questions at once that image classification answers only one of: not just what is in the image, but where it is and how many instances there are.…
yolo, detr, anchor box, feature pyramid network
Object Detection is the computer vision task of localizing and classifying all objects in an image — outputting bounding boxes and class labels, and serving as the foundation…
yolo detection, anchor free detection, one stage two stage detector, detr detection
Deep Learning Object Detection is the computer vision task where neural networks identify and localize multiple objects within an image by predicting both class labels…
object detection faster rcnn, object detection faster, detection faster rcnn, object detection, detection faster, faster rcnn
Object Detection Faster RCNN Introduction & Motivation Object Detection Faster RCNN addresses a central problem in vision process control and region-proposal-network-rpn…
object detection, detection frameworks, cnn coco nms ssd voc yolo
Object Detection Frameworks Introduction & Motivation Object detection: localize and classify objects. YOLO, R-CNN, SSD. Applications: surveillance, autonomous driving.…
data analysis
Object Detection on Wafers is the application of object detection algorithms to locate and classify multiple defects or features in a single wafer image — predicting both…
object detection retinanet, object detection, detection retinanet
Object Detection RetinaNet Introduction & Motivation Object Detection RetinaNet addresses a central problem in vision process control and focal-loss-class-imbalance prediction…
object detection, detection semantic, 2d 3d ade20k ce cnn coco, object detection & semantic segmentation, object detection semantic, detection semantic segmentation, semantic segmentation
Object Detection & Semantic Segmentation Introduction & Motivation Object detection and semantic segmentation extend basic image classification, which assigns a single label to…
anchor based detection, single shot detector, object detection real time, detection backbone neck head
Real-Time Object Detection is the computer vision task of simultaneously locating and classifying all objects in an image within milliseconds — where the YOLO (You Only Look Once)…
object detection, detection yolo, 16k 1k 330k 5m cnn coco, object detection & yolo
Object Detection & YOLO Introduction & Motivation Object Detection: localize and classify objects in images. Real-time detection; single-stage detectors. Applications: autonomous…