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Huang's algorithm is an algorithm for detecting termination in a distributed system. The algorithm was proposed by Shing-Tsaan Huang in 1989 in Information
Huang's_algorithm
Taiwanese and American businessman (born 1963)
"The Jen-Hsun Huang and Lori Mills Huang Collaborative Innovation Complex was made possible by two $50 million gifts, from the Huangs and the Wayne and
Jensen_Huang
Sequence of operations for a task
In mathematics and computer science, an algorithm (/ˈælɡərɪðəm/ ) is a finite sequence of mathematically rigorous instructions, typically used to solve
Algorithm
An algorithm is a fundamental set of rules or defined procedures that are typically designed and used to be a simpler way to solve a specific problem
List_of_algorithms
Sequence of locally optimal choices
A greedy algorithm is an algorithm which, at each step, makes the choice that is locally optimal, and subsequently does not reconsider past choices. Greedy
Greedy_algorithm
Recursive algorithm for matrix multiplication
Strassen algorithm, named after Volker Strassen, is an algorithm for matrix multiplication. It is faster than the standard matrix multiplication algorithm for
Strassen_algorithm
Unproven computational hardness assumption
of the hypothesis asserts the existence of a number s3>0 such that all algorithms that correctly solve 3-SAT require time at least 2s3n. ETH is a computational
Exponential_time_hypothesis
Procedure for finding a stable matching
Gale–Shapley algorithm (also known as the deferred acceptance algorithm, propose-and-reject algorithm, or Boston Pool algorithm) is an algorithm for finding
Gale–Shapley_algorithm
Algorithm for determining whether a number is prime
A primality test is an algorithm for determining whether an input number is prime. Among other fields of mathematics, it is used for cryptography. Unlike
Primality_test
Algorithm to multiply matrices
central operation in many numerical algorithms, much work has been invested in making matrix multiplication algorithms efficient. Applications of matrix
Matrix multiplication algorithm
Matrix_multiplication_algorithm
Dijkstra–Scholten algorithm (named after Edsger W. Dijkstra and Carel S. Scholten) is an algorithm for detecting termination in a distributed system. The algorithm was
Dijkstra–Scholten_algorithm
Mathematical and computational problem
produced with sophisticated algorithms. In addition, many approximation algorithms exist. For example, the first fit algorithm provides a fast but often
Bin_packing_problem
Subset of artificial intelligence
intelligence concerned with the development and study of statistical algorithms that can learn from data and generalize to unseen data, and thus perform
Machine_learning
Algorithm for determining similar regions between two molecular sequences
The Smith–Waterman algorithm performs local sequence alignment; that is, for determining similar regions between two strings of nucleic acid sequences
Smith–Waterman_algorithm
Signal processing algorithm
extension of the one-dimensional (1-D) EMD algorithm to a signal encompassing multiple dimensions. The Hilbert–Huang empirical mode decomposition (EMD) process
Multidimensional empirical mode decomposition
Multidimensional_empirical_mode_decomposition
Computer science observation
CPU transistors, Huang's law describes a combination of advances in architecture, interconnects, memory technology, and algorithms. Bharath Ramsundar
Huang's_law
Technological phenomenon with social implications
Algorithmic bias describes the systematic and repeatable harmful tendency in a computerized sociotechnical system to create "unfair" outcomes, such as
Algorithmic_bias
Divide and conquer sorting algorithm
merge-sort) is an efficient, general-purpose, comparison-based sorting algorithm. Most implementations of merge sort are stable, which means that the relative
Merge_sort
Optimization algorithm
computer science and operations research, the ant colony optimization algorithm (ACO) is a probabilistic technique for solving computational problems
Ant colony optimization algorithms
Ant_colony_optimization_algorithms
Chinese-American engineer and computer scientist (1936–2020)
became repeated events. Huang's research tended to focus on the development of general concepts, methodologies, theories, and algorithms which have wide application
Thomas_Huang
Property of an algorithm
science, algorithmic efficiency is a property of an algorithm which relates to the amount of computational resources used by the algorithm. Algorithmic efficiency
Algorithmic_efficiency
Algorithmic runtime requirements for matrix multiplication
Unsolved problem in computer science What is the fastest algorithm for matrix multiplication? More unsolved problems in computer science In theoretical
Computational complexity of matrix multiplication
Computational_complexity_of_matrix_multiplication
Book by Pedro Domingos
The Master Algorithm: How the Quest for the Ultimate Learning Machine Will Remake Our World is a book by Pedro Domingos released in 2015. Domingos wrote
The_Master_Algorithm
Algorithm to estimate signal frequency
A pitch detection algorithm (PDA) is an algorithm designed to estimate the pitch or fundamental frequency of a quasiperiodic or oscillating signal, usually
Pitch_detection_algorithm
Field of machine learning
unsupervised learning. While supervised learning and unsupervised learning algorithms respectively attempt to discover patterns in labeled and unlabeled data
Reinforcement_learning
In computer vision and image processing
used to perform automatic image thresholding. In the simplest form, the algorithm returns a single intensity threshold that separate pixels into two classes –
Otsu's_method
Machine learning algorithm
The junction tree algorithm (also known as 'Clique Tree') is a method used in machine learning to extract marginalization in general graphs. In essence
Junction_tree_algorithm
Artificial intelligence system for discovering matrix multiplication algorithms
developed by DeepMind for discovering efficient matrix multiplication algorithms using reinforcement learning. Introduced in 2022, the system was based
AlphaTensor
Hidden Markov model algorithm
The forward algorithm, in the context of a hidden Markov model (HMM), is used to calculate a 'belief state': the probability of a state at a certain time
Forward_algorithm
Shared independent set of two matroids
(1+\log {W}))} . The second algorithm runs in time O ( n r ⋅ ( log n + r + T ) ) {\displaystyle O(nr\cdot (\log {n}+r+T))} . Huang, Kakimura and Kamiyama
Matroid_intersection
Signal analysis tool
improved EMD was an appropriate algorithm to be used for analyzing biological signals. Biomedical applications: Huang et al. [1999b] analyzed the pulmonary
Hilbert–Huang_transform
2023 short story by Naomi Kritzer
"Better Living Through Algorithms" is a 2023 science fiction short story by Naomi Kritzer. It was first published in Clarkesworld and was the winner of
Better Living Through Algorithms
Better_Living_Through_Algorithms
Optimization algorithm
quasi-Newton algorithm was proposed by William C. Davidon, a physicist working at Argonne National Laboratory. He developed the first quasi-Newton algorithm in
Quasi-Newton_method
Task of computing complete subgraphs
time algorithm is known for this problem, more efficient algorithms than the brute-force search are known. For instance, the Bron–Kerbosch algorithm can
Clique_problem
Algorithm
Iterative closest point (ICP) is a point cloud registration algorithm employed to minimize the difference between two clouds of points. ICP is often used
Iterative_closest_point
1038/s41586-021-04086-x. Fawzi, Alhussein; Balog, Matej; Huang, Aja (2022). "Discovering faster matrix multiplication algorithms with reinforcement learning". Nature. 610:
List of mathematical discoveries made with artificial intelligence
List_of_mathematical_discoveries_made_with_artificial_intelligence
Estimate object properties from a finite number of projections
reconstruction algorithms have been developed to implement the process of reconstruction of a three-dimensional object from its projections. These algorithms are
Tomographic_reconstruction
Soviet American mathematician
American mathematician and computer scientist, known for his research on algorithms for polynomials and matrix multiplication. Pan earned his Ph.D. at Moscow
Victor_Pan
Machine learning technique
reward function to improve an agent's policy through an optimization algorithm like proximal policy optimization. RLHF has applications in various domains
Reinforcement learning from human feedback
Reinforcement_learning_from_human_feedback
Unsolved problem in computational complexity theory
exist an algorithm that always produces an exact solution in polynomial time (as postulated by the P versus NP problem), but even an algorithm that always
Unique_games_conjecture
Subfield of convex optimization
solutions from exact solvers but in only 10-20 algorithm iterations. Hazan has developed an approximate algorithm for solving SDPs with the additional constraint
Semidefinite_programming
Color reconstruction algorithm
Demosaicing, also known as color reconstruction, is a digital image processing algorithm used to reconstruct a full color image from the incomplete color samples
Demosaicing
efficiency A property of an algorithm which relates to the number of computational resources used by the algorithm. An algorithm must be analyzed to determine
Glossary_of_computer_science
Grouping a set of objects by similarity
analysis refers to a family of algorithms and tasks rather than one specific algorithm. It can be achieved by various algorithms that differ significantly
Cluster_analysis
Class of reinforcement learning algorithm
In reinforcement learning (RL), a model-free algorithm is an algorithm which does not estimate the transition probability distribution (and the reward
Model-free (reinforcement learning)
Model-free_(reinforcement_learning)
Combinatorial game theory concept to represent all possible game states
a deterministic algorithm, such as backward induction or retrograde analysis can be used. Randomized algorithms and minmax algorithms such as MCTS can
Game_tree
Pairing where no unchosen pair prefers each other over their choice
the Gale–Shapley algorithm". American Mathematical Monthly. 88 (7): 485–494. doi:10.2307/2321753. JSTOR 2321753. MR 0628016. Huang, Chien-Chung (2006)
Stable_matching_problem
Polygonal region of all points visible from a given point in a plane
July 2012). "2d Visibility Algorithm". Retrieved 9 May 2014. Bungiu, Francisc; Hemmer, Michael; Hershberger, John; Huang, Kan; Kröller, Alexander (2014)
Visibility_polygon
Concept in mathematics
is an iterative optimization algorithm for finding a local minimum of a differentiable function. It generalizes algorithms such as gradient descent and
Mirror_descent
Experimental technology level
approximate optimization algorithm (QAOA), which use NISQ devices but offload some calculations to classical processors. These algorithms have been successful
Noisy intermediate-scale quantum computing
Noisy_intermediate-scale_quantum_computing
Computer backgammon program (1992)
innovation was in how it learned its evaluation function. TD-Gammon's learning algorithm consists of updating the weights in its neural net after each turn to
TD-Gammon
Classical quantization technique from signal processing
sparse coding models used in deep learning algorithms such as autoencoder. One simple training algorithm for vector quantization is: Pick a sample point
Vector_quantization
The Shapiro—Senapathy algorithm (S&S) is a computational method for identifying splice sites in eukaryotic genes. The algorithm employs a Position Weight
Shapiro–Senapathy_algorithm
Chinese mathematician (born 1945)
optimum algorithm. He's also on medical image. At present, Huang is leading several national and provincial key scientific projects. ChinaVitae - Huang Daren
Huang_Daren
Heuristic search algorithm for evaluating game trees
computer science, Monte Carlo tree search (MCTS) is a heuristic tree search algorithm for some kinds of decision processes, most notably those employed in software
Monte_Carlo_tree_search
metaheuristics and swarm intelligence algorithms, sorted by decade of proposal. Simulated annealing is a probabilistic algorithm inspired by annealing, a heat
List of metaphor-based metaheuristics
List_of_metaphor-based_metaheuristics
Type of artificial neural network
Liang, N.Y.; Huang, G.B.; Saratchandran, P.; Sundararajan, N. (November 2006). "A fast and accurate online sequential learning algorithm for feedforward
Extreme_learning_machine
System to predict users' preferences
sometimes informally but erroneously be referred to as the service's "algorithm". The use of recommender systems is pervasive, with commonly recognised
Recommender_system
Computational complexity class of problems
decision problem is a member of BQP if there exists a quantum algorithm (an algorithm that runs on a quantum computer) that solves the decision problem
BQP
Prediction of protein structures
updated from a current dataset, along with modifications to the initial algorithm. The Chou–Fasman method takes into account only the probability that each
Chou–Fasman_method
Set of methods for supervised statistical learning
vector network is a supervised max-margin model with associated learning algorithms that analyze data for classification and regression analysis. Developed
Support_vector_machine
Science fiction author
Shi Lian Huang (published as S. L. Huang) is an American science fiction author. Huang was born in New Jersey and completed a Bachelor of Mathematics
S._L._Huang
Non-linear digital filtering technique to remove noise
18287/2412-6179-CO-1388. Huang, Thomas S.; Yang, George J.; Tang, Gregory Y. (February 1979). "A fast two-dimensional median filtering algorithm" (PDF). IEEE Transactions
Median_filter
Development platform for rendering graphics
OptiX is a high-level, or "to-the-algorithm" API, meaning that it is designed to encapsulate the entire algorithm of which ray tracing is a part, not
Nvidia_RTX
Computational problem
time on a non-parallel computer using a stack-based algorithm. Later researchers have studied algorithms to solve it in other models of parallel computation
All_nearest_smaller_values
Field associated with machine learning and transfer learning
the output space (or label space). The objective of a machine learning algorithm is to learn a mathematical model (a hypothesis) h : X → Y {\displaystyle
Domain_adaptation
Mathematical algorithm
In the field of streaming algorithms, Misra–Gries summaries are used to solve the frequent elements problem in the data stream model. That is, given a
Misra–Gries_summary
Maximal subgraph whose vertices can reach each other
connected components have been used to study algorithms with limited space complexity, and sublinear time algorithms can accurately estimate the number of components
Component_(graph_theory)
Statistical Markov model
maximum likelihood estimation. For linear chain HMMs, the Baum–Welch algorithm can be used to estimate parameters. Hidden Markov models are known for
Hidden_Markov_model
American market making firm
further claimed that Jane Street raked in Rs 36,000 crore from undetected algorithmic trading. Jane Street denied all wrongdoing, stating it was basic index
Jane_Street_Capital
different algorithm called multifit algorithm, using techniques from bin packing, which has an approximation factor of 13/11≈1.182. Huang and Lu presented
Identical-machines_scheduling
A genetic operator is an operator used in evolutionary algorithms (EA) to guide the algorithm towards a solution to a given problem. There are three main
Genetic_operator
Efficient sorting algorithm that combines insert and merge operations
Block sort, or block merge sort, is a sorting algorithm combining at least two merge operations with an insertion sort to arrive at O(n log n) (see Big
Block_sort
The brain storm optimization algorithm is a heuristic algorithm that focuses on solving multi-modal problems, such as radio antennas design worked on by
Brain storm optimization algorithm
Brain_storm_optimization_algorithm
Optimization algorithm in computer science
The multifit algorithm is an algorithm for multiway number partitioning, originally developed for the problem of identical-machines scheduling. It was
Multifit_algorithm
Algorithm in queueing theory
within the mathematical theory of probability, the backpressure routing algorithm is a method for directing traffic around a queueing network that achieves
Backpressure_routing
1967 short story by Harlan Ellison
(2022) "Rabbit Test" by Samantha Mills (2023) "Better Living Through Algorithms" by Naomi Kritzer (2024) "Stitched to Skin Like Family Is" by Nghi Vo
I Have No Mouth, and I Must Scream
I_Have_No_Mouth,_and_I_Must_Scream
Family of algorithms for sampling from discrete probability distributions
In computing, the alias method is a family of efficient algorithms for sampling from a discrete probability distribution, published in 1974 by Alastair
Alias_method
Class of fingerprinting algorithm
Perceptual hashing is the use of a fingerprinting algorithm that produces a snippet, hash, or fingerprint of various forms of multimedia. A perceptual
Perceptual_hashing
British-Canadian computer scientist (born 1947)
highly cited paper published in 1986 that popularised the backpropagation algorithm for training multi-layer neural networks, although they were not the first
Geoffrey_Hinton
polytime algorithm that finds a (1-1/e)-approximation with high probability. Their algorithm uses a continuous-greedy algorithm - an algorithm that extends
Welfare_maximization
Chinese artificial intelligence company
Due to U.S. chip restrictions, DeepSeek has continuously refined its algorithms to maximize computational efficiency, leveraging older hardware and reducing
DeepSeek
Set of cryptographic hash functions
SHA-3 (Secure Hash Algorithm 3) is the latest member of the Secure Hash Algorithm family of standards, released by NIST on August 5, 2015. Although part
SHA-3
AI that generates content
consumption that is estimated to be growing steadily. The origins of algorithmically generated media can be traced to the development of the Markov chain
Generative_AI
Volume rendering technique
"SPLATTING: A Parallel, Feed-Forward Volume Rendering Algorithm" (PDF). Retrieved October 18, 2023. Huang, Jian (Spring 2002). "Splatting" (PPT). Retrieved
Gaussian_splatting
Branch of machine learning
transform the data into a more suitable representation for a classification algorithm to operate on. In the deep learning approach, features are not hand-crafted
Deep_learning
iterative scaling (GIS) and improved iterative scaling (IIS) are two early algorithms used to fit log-linear models, notably multinomial logistic regression
Generalized_iterative_scaling
AI research laboratory
(MuZero, AlphaStar), for mathematics (AlphaGeometry, FunSearch), and for algorithm discovery (AlphaEvolve, AlphaDev, AlphaTensor). In 2020, DeepMind made
Google_DeepMind
Slovenian-Canadian computer vision researcher
received popular press coverage, including a pop-song generator and an algorithm to suggest fashion improvements. Prior to joining U of T, she was an assistant
Sanja_Fidler
French computer scientist (born 1960)
Bengio, Jensen Huang, Geoffrey Hinton, and Fei-Fei Li for their groundbreaking contributions to neural networks and deep learning algorithms. In 2025, he
Yann_LeCun
Machine learning that combines deep learning and reinforcement learning
unstructured input data without manual engineering of the state space. Deep RL algorithms are able to take in very large inputs (e.g. every pixel rendered to the
Deep_reinforcement_learning
Technique to mark material as AI-generated
deployed text watermarking algorithms use a secret only known to the specific model provider, and the detection algorithm requires knowing the secret
AI_watermarking
Hypothetical charge of an atom if all its bonds to different atoms were fully ionic
IUPAC recommendation and the Gold Book entry list two entirely general algorithms for the calculation of the oxidation states of elements in chemical compounds
Oxidation_state
Chinese businessman (born 1985)
2010. His master's dissertation was titled "Study on Object Tracking Algorithm Based on Low-Cost PTZ camera" (基于低成本PTZ摄像机的目标跟踪算法研究). In his college years
Liang_Wenfeng
Problem in computer science
1937 that the halting problem is undecidable, meaning that no general algorithm exists that can correctly solve the problem for all possible program–input
Halting_problem
Tree-based ensemble machine learning methods
decision trees' habit of overfitting to their training set. The first algorithm for random decision forests was created in 1995 by Tin Kam Ho using the
Random_forest
Image upscaling technology by Nvidia
a few video games, namely Battlefield V, or Metro Exodus, because the algorithm had to be trained specifically on each game on which it was applied and
Deep_Learning_Super_Sampling
Texture compression algorithm
called DXTn, DXTC, or BCn) is a group of related lossy texture compression algorithms originally developed by Iourcha et al. of S3 Graphics, Ltd. for use in
S3_Texture_Compression
Computing the fixed point of a function
proof is not constructive. Various algorithms have been devised for computing an approximate fixed point. Such algorithms are used in various tasks, such
Fixed-point_computation
Method of analyzing variables in software
cycles, a more advanced algorithm is required. The most common way of solving the data-flow equations is by using an iterative algorithm. It starts with an
Data-flow_analysis
travel, tourism, insurance
HUANGS ALGORITHM
HUANGS ALGORITHM
HUANGS ALGORITHM
HUANGS ALGORITHM
HUANGS ALGORITHM
HUANGS ALGORITHM
HUANGS ALGORITHM
HUANGS ALGORITHM
HUANGS ALGORITHM
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