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Subutai Ahmad
VP Research at Numenta
ai, artificial neural network, brain, central processing unit, computing, convolutional neural network, deep learning, density, efficient energy use, embedded system, graphics processing unit, internet of things, kernel (linear algebra), machine learning, machine learning platform, machine learning tools, mathematical optimization, matrix (mathematics), matrix multiplication, mentorship, ml, numenta, program optimization, research, science, sparse matrix, sparse networks, theory, twitter, vector space, watt
Gwynn Sturdevant
Postdoctoral Researcher at Harvard Business School
accessibility, air traffic control, air traffic controller, automation, aviation, beta, blood, blood sugar level, bootstrapping (statistics), child care, computer vision, covid-19 testing, derivative, diabetes, disability, emotion, equation, ethics, eye, flight, fossil, function (mathematics), function composition, gamma, glucose, human resources, human subject research, ice, instrument meteorological conditions, intelligence, language, lux, machine learning, mathematics, measurement, normal distribution, number, ownership, parameter, perception, pressure, pressure measurement, programming, psychology, replicant, research, rstats, runway, safety, saudi arabia, self-driving car, sensitivity and specificity, survival analysis, system, tesla, inc., traffic, traffic collision, training, validation, and test sets, trolley problem, twitter, vector space, visual impairment, waymo
Matthew Jagielski
Google at Northeastern University
algebraic number field, area, block cipher, cryptography , curve, discrete logarithm, elliptic curve, experiment, exponentiation, field (mathematics), finite field, line (geometry), linear algebra, machine learning, matrix (mathematics), neural network, number, perception, polynomial, rectangle, reverse engineering, secure multi-party computation, square root, time complexity, variance
algebraic number field, area, block cipher, cryptography , curve, discrete logarithm, elliptic curve, experiment, exponentiation, field (mathematics), finite field, line (geometry), linear algebra, machine learning, matrix (mathematics), neural network, number, perception, polynomial, rectangle, reverse engineering, secure multi-party computation, square root, time complexity, variance
Omri Shmueli
Tel Aviv University
absolute value, authentication, central processing unit, correlation and dependence, encryption, euclidean vector, hamiltonian (quantum mechanics), matrix (mathematics), motivation, norm (mathematics), normal distribution, number, overhead (business), prime number, qma, quadratic equation, quantum logic, quantum state, quantum superposition, quantum teleportation, ring (mathematics), self-adjoint operator, variance, vector space, zero-knowledge proof
Zvika Brakerski
Weizmann Institute of Science
absolute value, authentication, central processing unit, correlation and dependence, encryption, euclidean vector, hamiltonian (quantum mechanics), matrix (mathematics), motivation, norm (mathematics), normal distribution, number, overhead (business), prime number, qma, quadratic equation, quantum logic, quantum state, quantum superposition, quantum teleportation, ring (mathematics), self-adjoint operator, variance, vector space, zero-knowledge proof
Weiqiang Wen
Cryptanalyst
absolute value, algebraic number field, algebraic number theory, algorithm, basis (linear algebra), condition number, curve, embedding, field (mathematics), function (mathematics), geometry, lattice (group), linear combination, linear independence, logarithm, modular arithmetic, number, number theory, polynomial, quantity, random walk, rational number, ring (mathematics), time complexity, vector space
Kay McKelly
Freelance Software Developer & Virtual Event Organizer at The International Association for Cryptologic Research (IACR)
active users, black box, blockchain, conceptual model, cryptographic hash function, cryptography , digital signature, exponentiation by squaring, facebook, field (mathematics), game theory, interactive proof system, lattice problem, linear form, logarithm, multiplication, oracle machine, privacy, quantum mechanics, random oracle, secure multi-party computation, time complexity, twitter, vector space, whatsapp
Mohammad Mahmoody
associate professor in the Computer Science Department at University of Virginia (UVA)
active users, black box, blockchain, conceptual model, cryptographic hash function, cryptography , digital signature, exponentiation by squaring, facebook, field (mathematics), game theory, interactive proof system, lattice problem, linear form, logarithm, multiplication, oracle machine, privacy, quantum mechanics, random oracle, secure multi-party computation, time complexity, twitter, vector space, whatsapp
Thomas Attema
Research Scientist at CWI
Junqing Gong
Researcher at East China Normal University
Michel Abdalla
Senior Researcher at CNRS
64-bit computing, algebra, block cipher, block cipher mode of operation, brute-force attack, cryptographic hash function, cryptography , encryption, equation, field (mathematics), field extension, finite field, function (mathematics), hash function, matrix (mathematics), microcontroller, nonlinear system, parameter, polynomial, prime number, quadratic function, ring (mathematics), sponge function, variable (mathematics), wave
Bob Coecke
Professor at Oxford University
algebra, clock, computer, data, diesel engine, dimension, email, encoding (memory), google, information, language, learning, machine, machine learning, mathematics, plane (geometry), quantum computing, question, question answering, sentence (linguistics), space, textbook, the avengers (2012 film), vector space, word
Eric Hansen
Student at Mississippi State University
algorithm, belief, benders decomposition, constraint (mathematics), convex function, convex hull, convex set, dual linear program, euclidean vector, heuristic, knowledge, linear programming, markov chain, mathematical optimization, number, observation, pain, probability, probability distribution, rhythm, sequence, subroutine, two-dimensional space, vector space
Alan Yang
EE PhD at Stanford University
algorithm, artificial neural network, bayesian network, complexity, computational complexity, conditional independence, dependent and independent variables, dimension, distance, estimator, expected value, feature selection, lasso (statistics), likelihood function, mathematical optimization, metric (mathematics), mutual information, parameter, random variable, receiver operating characteristic, regularization (mathematics), statistic, statistics, time series, vector space
Ellen Novoseller
CI Fellow and Postdoctoral Researcher at University of California, Berkeley
algorithm, assignment problem, attention, decision-making, experiment, feedback, function (mathematics), information, information theory, inner product space, iteration, learning, linear regression, mathematical optimization, parrot, probability, race (human categorization), regression analysis, reinforcement learning, sampling (statistics), simulation, space, tax, utility, vector space
Anastasia Marchenkova
Researcher at Bleximo Corp.
breaking rsa, complex number, computational complexity theory, cryptography , elliptic-curve cryptography, factorization, greatest common divisor, grover's algorithm, hilbert space, inner product space, integer factorization, linear algebra, matrix (mathematics), modular arithmetic, prime number, quantum circuit, quantum computing, quantum cryptography, quantum entanglement, quantum superposition, quantum volume, rsa (cryptosystem), shor's algorithm, trapped ion quantum computer, vector space
François Chollet
Artificial Intelligence Researcher at Google
#googleio, abstraction, adolescence, ai researcher, algorithm, android (operating system), api, artificial intelligence, autoencoder, automation, average, boilerplate code, c++, cloud computing, codec, computer, computer programming, computer vision, concept, conceptual model, conjecture, cross entropy, data compression, data model, deep learning, design, distributed computing, email, embedding, experiment, francois chollet, function (mathematics), google, google announcement, google conference, google developer conference, google i/o, google io, graphics processing unit, imagination, ios, javascript, keras, keras vs tensorflow, kullback–leibler divergence, logic, long short-term memory, low level tensorflow, machine learning, machine learning library, mathematical proof, mathematics, matroid, mean, mean squared error, microsoft, mind, ml conference, modern keras, motivation, multi-core processor, music, normal distribution, nothing, perception, physics, piano, pixel, pr_pr: google i/o, probability distribution, purpose: educate, quantization (signal processing), reason, recursion, research, scaledml, scaledml2020, software , standard keras, swift (programming language), switch, system, tax, technical conference, technology, tensorflow, tensorflow 2021, tensorflow and keras, tensorflow code, theorem, truth, type: conference talk (full production), understanding, use case, variance, vector space, what’s new with tensorflow, world wide web, youtube
Martin Görner
Software Engineer at Google
#googleio, activation function, algorithm, alphago, analytics, api, application programming interface, artificial intelligence, artificial neural network, autoencoder, average, boilerplate code, central processing unit, cloud computing, codec, command-line interface, computer, cross entropy, curve, data compression, deepmind, design, email, encoding (memory), entropy (information theory), function (mathematics), google, google announcement, google cloud ml engine, google conference, google developer conference, google i/o, google io, gradient descent, graphics processing unit, histogram, hyperparameter (machine learning), infoq, input/output, javascript, keras, keras vs tensorflow, kullback–leibler divergence, learning, low level tensorflow, machine learning, machine learning library, mean, mean squared error, mode (statistics), modern keras, multi-core processor, music, neural network, neuron, normal distribution, parameter (computer programming), piano, pixel, pr_pr: google i/o, prediction, probability distribution, purpose: educate, python (programming language), qcon, qcon.ai, rail transport modelling, regularization (mathematics), reinforcement, reinforcement learning, sigmoid function, softmax function, standard keras, statistical classification, supervised learning, switch, technology, tensorboard, tensorflow, tensorflow 2021, tensorflow and keras, tensorflow code, training, validation, and test sets, type: conference talk (full production), variance, vector space, visualization (graphics), what’s new with tensorflow
Caroline Uhler
Associate Professor at ETH Zurich
attention, autoencoder, bioc2020, cancer, cell (biology), cellular differentiation, computer vision, coronavirus disease 2019, cytokine, data compression, design of experiments, embedding, experiment, food and drug administration, function (mathematics), gene, gene expression, gene knockdown, graph (discrete mathematics), greedy algorithm, immune system, infection, interactome, intuition, kinase, machine learning, mesenchyme, principal component analysis, protein, protein kinase, protein–protein interaction, receiver operating characteristic, receptor (biochemistry), rna, science, sense, severe acute respiratory syndrome coronavirus 2, statistical classification, statistics, t cell, time, understanding, vector space, viral replication, virus
Hetankshi Desai
Associate Consultant at SAAMA TECHNOLOGIES (INDIA) PrivateLimited.
data science conference 2020, ai, algebra, android (operating system), bank, cash, data science tutorial, design of experiments, equation, experiment, factorization, food delivery, google pay, hypothesis, machine learning, mathematical optimization, mobile app, payment, prediction, question, recommendation systems, recommendation systems example, recommendation systems machine learning, recommendation systems python, recommendation systems types, recommender system, sparse matrix, spotify, utility, vector space, wids 2020, wids ambassadors, wids conference, wids mumbai 2020, woman in data science , women in programming, youtube
Gunjan Dewan
Data Scientist at GO-JEK
data science conference 2020, ai, algebra, android (operating system), bank, cash, data science tutorial, design of experiments, equation, experiment, factorization, food delivery, google pay, hypothesis, machine learning, mathematical optimization, mobile app, payment, prediction, question, recommendation systems, recommendation systems example, recommendation systems machine learning, recommendation systems python, recommendation systems types, recommender system, sparse matrix, spotify, utility, vector space, wids 2020, wids ambassadors, wids conference, wids mumbai 2020, woman in data science , women in programming, youtube
Junsong Yuan
Associate Professor at University at Buffalo
3d computer graphics, accuracy and precision, authentication, computer graphics, computer vision, concept, convolutional neural network, deep learning, discriminative model, evaluation measures (information retrieval), expert, gender, image segmentation, inner product space, knowledge, knowledge base, motivation, rendering (computer graphics), robotics, science, self-driving car, sense, simulation, texture mapping, vector space
Ehsan Elhamifar
Assistant Professor at Northeastern University
3d computer graphics, accuracy and precision, authentication, computer graphics, computer vision, concept, convolutional neural network, deep learning, discriminative model, evaluation measures (information retrieval), expert, gender, image segmentation, inner product space, knowledge, knowledge base, motivation, rendering (computer graphics), robotics, science, self-driving car, sense, simulation, texture mapping, vector space
Marcus Valtonen Ornhag
PhD Student at Lund University
approximation, calibration, camera, computing, distortion (optics), equation, focal length, force, indoor positioning system, lens, mathematics, matrix (mathematics), motion, navigation, pinhole camera, pinhole camera model, plane (geometry), raw image format, rotation, shutter (photography), time, tomography, universe, unmanned aerial vehicle, vector space
Sean Law
Principal Data Scientist, R&D at Charles Schwab
analysis of algorithms, anomaly detection, brute-force search, cluster analysis, data analysis, data science, deep learning, distance, engineering, fast fourier transform, forecasting, graphics processing unit, intelligence, line (geometry), machine learning, memory, metric (mathematics), nearest neighbor search, parameter, pythagorean theorem, python, python tutorial, right triangle, science, scientific computing, scientific computing conference 2021, scipy2021, software tools, time, time series, triangle, unsupervised learning, vector space
Simone Bacchio
High Performance Computing at Computational Scientist
scientific computing, artificial intelligence, attention, brute-force search, central processing unit, css , differential equation, equation, function (mathematics), graph theory, library, map, mathematics, matrix (mathematics), microsoft, microsoft windows, motion, neuroscience, physics, python, python (programming language), science research, scipy tools, scipy tutorial, scipy2021, shortest path problem, software , software engineering, sparse matrix, spotify, tax, technical computing , undo, vector space, wave
Michele Martone
German Aerospace Center (DLR) at Research Scientist
scientific computing, artificial intelligence, attention, brute-force search, central processing unit, css , differential equation, equation, function (mathematics), graph theory, library, map, mathematics, matrix (mathematics), microsoft, microsoft windows, motion, neuroscience, physics, python, python (programming language), science research, scipy tools, scipy tutorial, scipy2021, shortest path problem, software , software engineering, sparse matrix, spotify, tax, technical computing , undo, vector space, wave
Ash Ash
Assistant Professor of Law, Economics, and Data Science at ETH Zürich
computational social science , adjective, artificial intelligence, cluster analysis, cognition, computer vision, cosine similarity, digital humanities, document classification, emotion, encoding (memory), euclidean vector, hashtag, iraq war, k-means clustering, k-nearest neighbors algorithm, motivation, neuroscience, observation, qualitative research, question, rationale for the iraq war, redistribution of income and wealth, research, science, science research, scientific computing, scipy2021, software engineering, statistical classification, topic model, unsupervised learning, vector space, word embedding
Max Köhler
CTO at SMAHO
api, blog, computer, computer network, computer programming, engineering, graphics, index notation, julia (programming language), laptop, learning, mathematics, mechanical engineering, physics, programming language, project jupyter, science, server (computing), structure, vector space, virtual private network, web api, world wide web
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