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Adam Draper
Founder and Managing Director at Boost VC Accelerator
2020 elections, aaron burr, abra, adam draper, adam levy, alon goren, aly madhavji, america, ballot access, bank, bitcoin, blockchain, blockchain founders fund, blockchain valley ventures, boost vc, boostvc, brock pierce, candidate, central bank, coinbase, common sense, conference, conscience, crowded media group, crypto, cryptocurrencies, cryptocurrency, cryptocurrency wallet, customer experience, data analytics, david grider, decentralization, decentralized finance, deepak ghosh, deepfake, defi, democracy, democrate, democratic party (united states), digital currency, digital economy, digital security, draper goren holm, draper venture network, economics, economy, election, ethereum, ethereum andrew dix, ethereum brock pierce, etoro, event, existentialism, finance, financial technology, george kushner, global catastrophic risk, grayscale, h2crypto, hedge fund, heinrich zetlmayer, high-yield debt, independence party of new york, infrastructure, interest, interest rate, internet, james putra, joe vezzani, josef holm, kanye west, la blockchain summit, la blockchain week, leadership, lesser of two evils principle, loan, loyal vc, lunarcrush, market (economics), matt boseo, metaverse, middle, mixed reality, money, music, non-fungible token, oculus (brand), political spectrum, president, reason, regulatory compliance, regulatory technology, republican, republican party (united states), risk, ross perot, security (finance), smart contract, social media, stablecoin, startup company, stock, summit, swing stage, synergy, theory, thomas jefferson, tim draper, tokenization (data security), topps, tradestation crypto, twitter, undecided, undecided party, united states electoral college, united states house of representatives, united states of america, usa, virtual reality, virtual reality headset, voting
Deepak Ghosh
Vice President/Head of Product & Design at Abra
abra, adam draper, alon goren, bitcoin, blockchain, boost vc, coinbase, conference, crypto, cryptocurrencies, cryptocurrency, cryptocurrency wallet, data analytics, david grider, decentralized finance, deepak ghosh, defi, digital economy, digital security, draper goren holm, draper venture network, economics, economy, ethereum, event, finance, george kushner, grayscale, h2crypto, high-yield debt, infrastructure, internet, james putra, joe vezzani, josef holm, la blockchain summit, la blockchain week, lunarcrush, market (economics), matt boseo, metaverse, mixed reality, money, music, non-fungible token, oculus (brand), social media, stablecoin, stock, summit, theory, tim draper, tokenization (data security), tradestation crypto, virtual reality, virtual reality headset
David Grider
Head of Research at Grayscale Investments
abra, adam draper, alon goren, bitcoin, blockchain, boost vc, coinbase, conference, crypto, cryptocurrencies, cryptocurrency, cryptocurrency wallet, data analytics, david grider, decentralized finance, deepak ghosh, defi, digital economy, digital security, draper goren holm, draper venture network, economics, economy, ethereum, event, finance, george kushner, grayscale, h2crypto, high-yield debt, infrastructure, internet, james putra, joe vezzani, josef holm, la blockchain summit, la blockchain week, lunarcrush, market (economics), matt boseo, metaverse, mixed reality, money, music, non-fungible token, oculus (brand), social media, stablecoin, stock, summit, theory, tim draper, tokenization (data security), tradestation crypto, virtual reality, virtual reality headset
George Kushner
CEO at H2cryptO
abra, adam draper, alon goren, android (operating system), android (robot), bank, bitcoin, blockchain, boost vc, brand, coinbase, conference, creativity, crypto, crypto exchange, cryptocurrencies, cryptocurrency, cryptocurrency wallet, currency, data analytics, david grider, decentralized finance, deepak ghosh, defi, digital economy, digital security, do it yourself, draper goren holm, draper venture network, economics, economy, ethereum, event, exchanges, finance, george kushner, grayscale, h2crypto, health, high-yield debt, infrastructure, intelligence, internet, investor, ios, james putra, joe vezzani, josef holm, la blockchain summit, la blockchain week, landscape, lunarcrush, market (economics), marketplace, matt boseo, metaverse, mixed reality, mobile app, money, music, news, non-fungible token, oculus (brand), research, social media, spanish language, stablecoin, stock, summit, theory, tim draper, tokenization (data security), tradestation crypto, universe, user experience, value proposition, virtual reality, virtual reality headset
James Putra
Head of Product Strategy at TradeStation
abra, adam draper, alon goren, amber group, annabelle huang, bank, bitcoin, bitcoin conference 2022, blockchain, blockchain conference, blockchain week, blockchain.com, boost vc, brand, broker, btcmiami, btcmiami2022, capital market, capitalism, central bank, clearing house (finance), cloud computing, coinbase, commodity futures trading commission, computer security, conference, confirmation bias, contract, credit, crypto, cryptocurrencies, cryptocurrency, cryptocurrency wallet, currency, dark pool, data analytics, david grider, debt, decentralization, decentralized finance, deepak ghosh, defi, derivative (finance), deven nemer, digital currency, digital economy, digital security, dogecoin, draper goren holm, draper venture network, economics, economy, education, efficient-market hypothesis, entrepreneurship, equity (finance), ethereum, event, exchange-traded fund, federal reserve, fedwire, fee, fiat money, finance, financial transaction, futures contract, futures exchange, george kushner, grayscale, h2crypto, haider rafique, hedge (finance), hedge fund, high-yield debt, imessage, infrastructure, innovation, interest, internet, investment, jake ryan, james putra, joe vezzani, jon farjo, josef holm, keynote, kraken (company), la blockchain summit, la blockchain week, leapfrogging, leverage (finance), libra (digital currency), lunarcrush, market (economics), market liquidity, market maker, market sentiment, market trend, matt boseo, medium of exchange, metaverse, miami blockchain week, mixed reality, monetary policy, monetization, money, money laundering, motivation, music, new deal, non-fungible token, north american bitcoin conference, oculus (brand), okcoin, option (finance), over-the-counter (finance), passive management, password, peter schiff, price, problem solving, proprietary trading, real estate faster, reliability engineering, repurchase agreement, satoshi nakamoto, skype, social media, speculation, stablecoin, startup company, stock, stock market, stock trader, storytelling, subscription business model, summit, the north american bitcoin conference 2022, theory, tim draper, tnabc, tnabc 2022, tnabc miami, tokenization (data security), tradecraft capital, tradestation crypto, twitter, united states dollar, virtual reality, virtual reality headset, warren buffett, wealth management, wells fargo
Joe Vezzani
CEO at LunarCRUSH
aaron stanley, abra, adam draper, adam levy, algorithmic trading, alon goren, analytics, apple inc., art, asset, assets under management, average, bank, bitcoin, blockchain, boost vc, cash, caty tedman, coinbase, coindesk, competitive advantage, conference, conversation, crypto, cryptocurrencies, cryptocurrency, cryptocurrency wallet, crystal rose, currency, cybercrime, dapperlabs, data analytics, david grider, debt, decentralization, decentralized finance, deepak ghosh, defi, digital economy, digital security, dogecoin, dollar, draper goren holm, draper venture network, economics, economy, el salvador, elon musk, entrepreneurship, ethereum, ethereum crypto community, etoro, event, facebook, finance, foreign exchange market, generation, george kushner, governance, grayscale, h2crypto, hashtag, hedge (finance), hedge fund, high-yield debt, hollyoaks: enjoy the ride, human nature, infrastructure, initial coin offering, innovation, instagram, insurance, interest, internet, investment, jack dorsey, james putra, joe vezzani, jon farjo, josef holm, la blockchain summit, la blockchain week, law, legal tender, loan, loan-to-value ratio, lunarcrush, machine learning, mark cuban, market (economics), market liquidity, mass, matt boseo, messaging apps, metaverse, michael j. saylor, mixed reality, money, money market, music, non-fungible token, number, oculus (brand), over-the-counter (finance), popular culture, privacy, reddit, refinancing, retail, sense chat, shit, social media, space, speculation, stablecoin, startup company, stock, stock market, streaming data, summit, target audience, team, technical analysis, telegram (software), tesla, inc., theory, tim draper, tokenization (data security), touchpoint, tradestation crypto, trading room, twitter, united states, united states dollar, utility, valuation (finance), venture capital, virtual reality, virtual reality headset, wechat, whatsapp, wheat, witchcraft
Rahul Choudhury
UX Engineer at Google
api, artificial intelligence, central processing unit, communication protocol, computer data storage, cuda, deep learning, exposure (photography), geforce 10 series, graphics processing unit, grayscale, histogram equalization, image segmentation, interface (computing), interoperability, library (computing), machine learning, modular programming, numpy, package manager, parallel computing, python, python (programming language), python tutorial, python virtual conference, retinopathy, science, scientific computing, scipy tutorial, software bug, software engineering, software framework, solid-state drive, technical computing
John Kirkham
Senior System Software Engineer at NVIDIA
data science, software engineering, accent (sociolinguistics), algorithms, anaconda (python distribution), api, arm architecture, array data structure, artificial intelligence, big data, camera, central processing unit, color, communication protocol, compiler, computer, computer data storage, computer programming, computer science, conda, condom, control flow, convolution, correlation and dependence, cuda, dask, dask image, deep learning, desktop computer, e-governance, education, engineer, english as a second or foreign language, english language, experience, exposure (photography), facial recognition system, fast fourier transform, feeling, for loop, function (mathematics), geforce 10 series, gpu, graphics processing unit, grayscale, histogram equalization, hyperspectral imaging, image processing, image segmentation, instagram, interface (computing), interoperability, kodi (software), language, library, library (computing), machine learning, machine learning 2021, mathematics, memory, mentorship, microscope, mind, modular programming, netflix, numpy, nvidia, onboarding, open source, open-source-software movement, operating system, package manager, parallel computing, poverty, powerpc, programming language, python, python (programming language), python tutorial, python virtual conference, python virtual conference 2021, reason, retinopathy, runtime system, science, science, technology, engineering, and mathematics, scientific computing, scipy, scipy ecosystem, scipy tutorial, second language, snapchat, social media, software , software bug, software engineering, software framework, solid-state drive, space, stack (abstract data type), statistics, streaming media, technical computing , theory, thread (computing), twitter, understanding, vlog, workflow
Benjamin Zaitlen
System Software Manage at NVIDIA
api, artificial intelligence, central processing unit, communication protocol, computer data storage, cuda, deep learning, exposure (photography), geforce 10 series, graphics processing unit, grayscale, histogram equalization, image segmentation, interface (computing), interoperability, library (computing), machine learning, modular programming, numpy, package manager, parallel computing, python, python (programming language), python tutorial, python virtual conference, retinopathy, science, scientific computing, scipy tutorial, software bug, software engineering, software framework, solid-state drive, technical computing
Gigon Bae
Senior Software Engineer at NVIDIA
api, artificial intelligence, central processing unit, communication protocol, computer data storage, cuda, deep learning, exposure (photography), geforce 10 series, graphics processing unit, grayscale, histogram equalization, image segmentation, interface (computing), interoperability, library (computing), machine learning, modular programming, numpy, package manager, parallel computing, python, python (programming language), python tutorial, python virtual conference, retinopathy, science, scientific computing, scipy tutorial, software bug, software engineering, software framework, solid-state drive, technical computing
Gregory R. Lee
Senior Software Engineer at Quansight
engineering, 3d computer graphics, api, apple inc., artificial intelligence, central processing unit, color, color blindness, color vision, communication protocol, computer data storage, cuda, deep learning, documentation, exposure (photography), feedback, geforce 10 series, github, google, graphics processing unit, grayscale, histogram equalization, image segmentation, interface (computing), internet, interoperability, julia (programming language), library (computing), machine learning, macintosh, macos, memory, metadata, microscopy, modular programming, numpy, package manager, parallel computing, pdf, python, python (programming language), python conference 2021, python tutorial, python virtual conference, retinopathy, scheduling (computing), science, scientific computing, scientific computing conference 2021, scipy library, scipy tools, scipy tutorial, scipy2021, skipy conferences, slack (software), software bug, software engineering, software framework, solid-state drive, statistics, technical computing , web application, web browser, web framework, world wide web
Liang Zhang
Global Sales Strategy & Operations at LinkedIn
before deep learning , artificial intelligence , artificial intelligence tutorial, computer science conference , feed and ads modeling, introduction to multimedia, visio-lingual representations, 3d cnns, accent (sociolinguistics), accuracy and precision, acm 2020 tutorial, acoustic model, action recognition, ads recommendation, advertising, algorithm, angle, apache hadoop, apache spark, api, application software, applications at linkedin, array data structure, array data type, art, artificial intelligence tutorial, artificial neural network, assembly language, association for computing machinery, attention, attention (machine learning), average, baby talk, bag-of-words model, bangalore, beef, before deep learning , bible, bichon frise, cartesian coordinate system, castle, central processing unit, click-through rate, closed captioning, code-division multiple access, codec, coherence (physics), color, common technologies for feed and ads recommendation, compass, computer, computer graphics, computer performance, computer science tutorial, computer science tutorials, computer vision, computer vision 2020, computing, concept, convolution, convolutional neural network, cosine similarity, data, data compression, data conversion, data science tutorial, data type, debugging, deconvolution, deep learning, deep learning and cnns, deep learnning, deep learnning tutorial, definition, depiction, design, desk, diagram, diamond, digital image processing, dimension, dsgmm and deep cluster-and-aggregate method, dynamic programming, education, email spam, energy, engine, enzyme kinetics, equation, essay, euclidean vector, experiment, extract, transform, load, feature (machine learning), feature extraction, feature learning, feed recommendation , file system, film frame, finite set, function (mathematics), gas, gender, gradient, grayscale, hidden markov model, histogram, history, hyperparameter optimization, image embeddings, image representations , image segmentation, image understanding, imagenet, improvements on 3d cnn, improvements on 3d cnns and two-stream, infection, information, information retrieval, input/output, inspection, instagram, intelligence, interface (computing), internet, introduction - feed, ads, search and spam, inverted index, k-means clustering, kdd2020 tutorials, language, language model, learning, lecture-style tutorials, letter case, library (computing), likelihood function, linear combination, linearity, linkedin, literature, loader (computing), logic, long short-term memory, machine, machine learning, map, markov chain, markov model, mathematical optimization, matrix (mathematics), mean, meme, memory, metric learning for images, metric space, microsoft, mixture model, mobile app, monotonic function, motivation, moving average, mp3, multimedia, multimedia infrastructure, multimedia search, multimodality, multivariate random variable, music, nature, navigation, neural network, news, non-local networks and slowfast, nothing, number, object detection, online and offline, optical character recognition, optical flow, optimization for cnns, oracle corporation, parameter, parameter (computer programming), parity bit, phoneme, pixel, plasterwork, podcast, precision and recall, prediction, preprocessor, protein–protein interaction, python (programming language), radio, reason, recommender system, recurrent neural network, research, robust statistics, satya nadella, search algorithm, search engine, search engine indexing, self-supervised learning, self-supervised video embeddings, sense, signal, similarity learning, simulation, sms, social media, social networking service, softmax function, software , source lines of code, space, spam detection, spamming, spectral density, spectrogram, speech, speech recognition, speech technologies for video understanding, spotify, statistical classification, statistics, streaming media, string (computer science), subroutine, summation, supervised learning, support-vector machine, temporal topic localization, tensor, texas, three-dimensional space, training, validation, and test sets, transcription (linguistics), transformer (machine learning model), transmission (mechanics), truck, two-stream networks, typing, understanding, unsupervised learning, upload, use case, variance, vector graphics, vector space, video, video captioning, video classification, video embeddings and networks, video game, video game console, video game live streaming, video representations used in production, video search, video search engine, video understanding, weight, youtube
Di Wen
Staff Software Engineer at LinkedIn
before deep learning , artificial intelligence , artificial intelligence tutorial, computer science conference , feed and ads modeling, introduction to multimedia, visio-lingual representations, 3d cnns, accent (sociolinguistics), accuracy and precision, acm 2020 tutorial, acoustic model, action recognition, ads recommendation, advertising, algorithm, angle, apache hadoop, api, application software, applications at linkedin, art, artificial intelligence tutorial, artificial neural network, association for computing machinery, attention, attention (machine learning), average, baby talk, bag-of-words model, bangalore, beef, before deep learning , bible, bichon frise, cartesian coordinate system, castle, central processing unit, click-through rate, closed captioning, code-division multiple access, codec, coherence (physics), common technologies for feed and ads recommendation, compass, computer, computer graphics, computer performance, computer science tutorial, computer science tutorials, computer vision, computer vision 2020, computing, concept, convolution, convolutional neural network, cosine similarity, data, data compression, data science tutorial, deconvolution, deep learning, deep learning and cnns, deep learnning, deep learnning tutorial, definition, depiction, design, desk, diagram, diamond, digital image processing, dimension, dsgmm and deep cluster-and-aggregate method, dynamic programming, education, email spam, energy, engine, enzyme kinetics, equation, essay, euclidean vector, experiment, extract, transform, load, feature (machine learning), feature extraction, feature learning, feed recommendation , film frame, finite set, function (mathematics), gas, gender, gradient, grayscale, hidden markov model, histogram, history, hyperparameter optimization, image embeddings, image representations , image segmentation, image understanding, imagenet, improvements on 3d cnn, improvements on 3d cnns and two-stream, infection, information, information retrieval, input/output, inspection, instagram, intelligence, interface (computing), internet, introduction - feed, ads, search and spam, inverted index, k-means clustering, kdd2020 tutorials, language, language model, learning, lecture-style tutorials, letter case, likelihood function, linear combination, linearity, linkedin, literature, logic, long short-term memory, machine, machine learning, map, markov chain, markov model, mathematical optimization, matrix (mathematics), mean, meme, memory, metric learning for images, metric space, microsoft, mixture model, mobile app, monotonic function, motivation, moving average, mp3, multimedia, multimedia infrastructure, multimedia search, multimodality, multivariate random variable, music, nature, navigation, neural network, news, non-local networks and slowfast, nothing, number, object detection, online and offline, optical character recognition, optical flow, optimization for cnns, oracle corporation, parameter, parity bit, phoneme, pixel, plasterwork, podcast, precision and recall, prediction, protein–protein interaction, radio, reason, recommender system, recurrent neural network, research, robust statistics, satya nadella, search algorithm, search engine, search engine indexing, self-supervised learning, self-supervised video embeddings, sense, signal, similarity learning, simulation, sms, social media, social networking service, softmax function, software , space, spam detection, spamming, spectral density, spectrogram, speech, speech recognition, speech technologies for video understanding, spotify, statistical classification, statistics, streaming media, summation, supervised learning, support-vector machine, temporal topic localization, texas, three-dimensional space, transcription (linguistics), transmission (mechanics), truck, two-stream networks, typing, understanding, unsupervised learning, upload, use case, variance, vector graphics, vector space, video, video captioning, video classification, video embeddings and networks, video game, video game console, video game live streaming, video representations used in production, video search, video search engine, video understanding, weight, youtube
Yijie Dylan Wang
Software Engineering Manager at LinkedIn
before deep learning , artificial intelligence , artificial intelligence tutorial, computer science conference , feed and ads modeling, introduction to multimedia, visio-lingual representations, 3d cnns, accent (sociolinguistics), accuracy and precision, acm 2020 tutorial, acoustic model, action recognition, advertising, algorithm, angle, apache hadoop, api, application software, applications at linkedin, art, artificial intelligence tutorial, artificial neural network, association for computing machinery, attention, attention (machine learning), average, baby talk, bag-of-words model, bangalore, beef, before deep learning , bible, bichon frise, cartesian coordinate system, castle, central processing unit, closed captioning, code-division multiple access, codec, coherence (physics), compass, computer, computer graphics, computer performance, computer science tutorial, computer science tutorials, computer vision, computer vision 2020, computing, concept, convolution, convolutional neural network, data, data compression, data science tutorial, deconvolution, deep learning, deep learning and cnns, deep learnning, deep learnning tutorial, definition, depiction, design, desk, diagram, diamond, digital image processing, dimension, dsgmm and deep cluster-and-aggregate method, dynamic programming, education, email spam, energy, engine, enzyme kinetics, equation, essay, euclidean vector, experiment, extract, transform, load, feature (machine learning), feature extraction, feature learning, film frame, function (mathematics), gas, gender, gradient, grayscale, hidden markov model, histogram, history, hyperparameter optimization, image embeddings, image representations , image segmentation, imagenet, improvements on 3d cnn, improvements on 3d cnns and two-stream, infection, information, information retrieval, input/output, inspection, instagram, intelligence, interface (computing), internet, inverted index, k-means clustering, kdd2020 tutorials, language, language model, learning, lecture-style tutorials, likelihood function, linearity, linkedin, literature, long short-term memory, machine, machine learning, map, markov chain, markov model, mathematical optimization, matrix (mathematics), mean, meme, memory, metric learning for images, metric space, microsoft, mixture model, mobile app, monotonic function, motivation, moving average, mp3, multimedia, multimedia infrastructure, multimodality, music, nature, navigation, neural network, news, non-local networks and slowfast, nothing, number, object detection, online and offline, optical character recognition, optical flow, optimization for cnns, oracle corporation, parameter, parity bit, phoneme, pixel, plasterwork, podcast, precision and recall, prediction, protein–protein interaction, radio, reason, recommender system, recurrent neural network, research, robust statistics, satya nadella, search algorithm, search engine, search engine indexing, self-supervised learning, self-supervised video embeddings, sense, signal, similarity learning, sms, social networking service, softmax function, space, spam detection, spamming, spectral density, spectrogram, speech, speech recognition, speech technologies for video understanding, spotify, statistical classification, statistics, streaming media, supervised learning, support-vector machine, temporal topic localization, texas, three-dimensional space, transcription (linguistics), transmission (mechanics), truck, two-stream networks, typing, understanding, unsupervised learning, upload, use case, variance, vector graphics, vector space, video, video captioning, video classification, video embeddings and networks, video game, video game console, video game live streaming, video search, video search engine, video understanding, weight, youtube
Bharat Jain
Data Scientist at LinkedIn
before deep learning , artificial intelligence , artificial intelligence tutorial, computer science conference , feed and ads modeling, introduction to multimedia, visio-lingual representations, 3d cnns, accent (sociolinguistics), accuracy and precision, acm 2020 tutorial, acoustic model, action recognition, ads recommendation, advertising, algorithm, angle, apache hadoop, api, application software, applications at linkedin, art, artificial intelligence tutorial, artificial neural network, association for computing machinery, attention, attention (machine learning), average, baby talk, bag-of-words model, bangalore, beef, before deep learning , bible, bichon frise, cartesian coordinate system, castle, central processing unit, click-through rate, closed captioning, code-division multiple access, codec, coherence (physics), common technologies for feed and ads recommendation, compass, computer, computer graphics, computer performance, computer science tutorial, computer science tutorials, computer vision, computer vision 2020, computing, concept, convolution, convolutional neural network, cosine similarity, data, data compression, data science tutorial, deconvolution, deep learning, deep learning and cnns, deep learnning, deep learnning tutorial, definition, depiction, design, desk, diagram, diamond, digital image processing, dimension, dsgmm and deep cluster-and-aggregate method, dynamic programming, education, email spam, energy, engine, enzyme kinetics, equation, essay, euclidean vector, experiment, extract, transform, load, feature (machine learning), feature extraction, feature learning, feed recommendation , film frame, finite set, function (mathematics), gas, gender, gradient, grayscale, hidden markov model, histogram, history, hyperparameter optimization, image embeddings, image representations , image segmentation, image understanding, imagenet, improvements on 3d cnn, improvements on 3d cnns and two-stream, infection, information, information retrieval, input/output, inspection, instagram, intelligence, interface (computing), internet, introduction - feed, ads, search and spam, inverted index, k-means clustering, kdd2020 tutorials, language, language model, learning, lecture-style tutorials, letter case, likelihood function, linear combination, linearity, linkedin, literature, logic, long short-term memory, machine, machine learning, map, markov chain, markov model, mathematical optimization, matrix (mathematics), mean, meme, memory, metric learning for images, metric space, microsoft, mixture model, mobile app, monotonic function, motivation, moving average, mp3, multimedia, multimedia infrastructure, multimedia search, multimodality, multivariate random variable, music, nature, navigation, neural network, news, non-local networks and slowfast, nothing, number, object detection, online and offline, optical character recognition, optical flow, optimization for cnns, oracle corporation, parameter, parity bit, phoneme, pixel, plasterwork, podcast, precision and recall, prediction, protein–protein interaction, radio, reason, recommender system, recurrent neural network, research, robust statistics, satya nadella, search algorithm, search engine, search engine indexing, self-supervised learning, self-supervised video embeddings, sense, signal, similarity learning, simulation, sms, social media, social networking service, softmax function, software , space, spam detection, spamming, spectral density, spectrogram, speech, speech recognition, speech technologies for video understanding, spotify, statistical classification, statistics, streaming media, summation, supervised learning, support-vector machine, temporal topic localization, texas, three-dimensional space, transcription (linguistics), transmission (mechanics), truck, two-stream networks, typing, understanding, unsupervised learning, upload, use case, variance, vector graphics, vector space, video, video captioning, video classification, video embeddings and networks, video game, video game console, video game live streaming, video representations used in production, video search, video search engine, video understanding, weight, youtube
Nikita Gupta
Senior Applied Research Engineer at LinkedIn
before deep learning , artificial intelligence , artificial intelligence tutorial, computer science conference , feed and ads modeling, introduction to multimedia, visio-lingual representations, 3d cnns, accent (sociolinguistics), accuracy and precision, acm 2020 tutorial, acoustic model, action recognition, ads recommendation, advertising, algorithm, angle, apache hadoop, api, application software, applications at linkedin, art, artificial intelligence tutorial, artificial neural network, association for computing machinery, attention, attention (machine learning), average, baby talk, bag-of-words model, bangalore, beef, before deep learning , bible, bichon frise, cartesian coordinate system, castle, central processing unit, click-through rate, closed captioning, code-division multiple access, codec, coherence (physics), common technologies for feed and ads recommendation, compass, computer, computer graphics, computer performance, computer science tutorial, computer science tutorials, computer vision, computer vision 2020, computing, concept, convolution, convolutional neural network, cosine similarity, data, data compression, data science tutorial, deconvolution, deep learning, deep learning and cnns, deep learnning, deep learnning tutorial, definition, depiction, design, desk, diagram, diamond, digital image processing, dimension, dsgmm and deep cluster-and-aggregate method, dynamic programming, education, email spam, energy, engine, enzyme kinetics, equation, essay, euclidean vector, experiment, extract, transform, load, feature (machine learning), feature extraction, feature learning, feed recommendation , film frame, finite set, function (mathematics), gas, gender, gradient, grayscale, hidden markov model, histogram, history, hyperparameter optimization, image embeddings, image representations , image segmentation, image understanding, imagenet, improvements on 3d cnn, improvements on 3d cnns and two-stream, infection, information, information retrieval, input/output, inspection, instagram, intelligence, interface (computing), internet, introduction - feed, ads, search and spam, inverted index, k-means clustering, kdd2020 tutorials, language, language model, learning, lecture-style tutorials, letter case, likelihood function, linear combination, linearity, linkedin, literature, logic, long short-term memory, machine, machine learning, map, markov chain, markov model, mathematical optimization, matrix (mathematics), mean, meme, memory, metric learning for images, metric space, microsoft, mixture model, mobile app, monotonic function, motivation, moving average, mp3, multimedia, multimedia infrastructure, multimedia search, multimodality, multivariate random variable, music, nature, navigation, neural network, news, non-local networks and slowfast, nothing, number, object detection, online and offline, optical character recognition, optical flow, optimization for cnns, oracle corporation, parameter, parity bit, phoneme, pixel, plasterwork, podcast, precision and recall, prediction, protein–protein interaction, radio, reason, recommender system, recurrent neural network, research, robust statistics, satya nadella, search algorithm, search engine, search engine indexing, self-supervised learning, self-supervised video embeddings, sense, signal, similarity learning, simulation, sms, social media, social networking service, softmax function, software , space, spam detection, spamming, spectral density, spectrogram, speech, speech recognition, speech technologies for video understanding, spotify, statistical classification, statistics, streaming media, summation, supervised learning, support-vector machine, temporal topic localization, texas, three-dimensional space, transcription (linguistics), transmission (mechanics), truck, two-stream networks, typing, understanding, unsupervised learning, upload, use case, variance, vector graphics, vector space, video, video captioning, video classification, video embeddings and networks, video game, video game console, video game live streaming, video representations used in production, video search, video search engine, video understanding, weight, youtube
Suhit Sinha
Senior Applied Research Engineer at LinkedIn
before deep learning , artificial intelligence , artificial intelligence tutorial, computer science conference , feed and ads modeling, introduction to multimedia, visio-lingual representations, 3d cnns, accent (sociolinguistics), accuracy and precision, acm 2020 tutorial, acoustic model, action recognition, ads recommendation, advertising, algorithm, angle, apache hadoop, api, application software, applications at linkedin, art, artificial intelligence tutorial, artificial neural network, association for computing machinery, attention, attention (machine learning), average, baby talk, bag-of-words model, bangalore, beef, before deep learning , bible, bichon frise, cartesian coordinate system, castle, central processing unit, click-through rate, closed captioning, code-division multiple access, codec, coherence (physics), common technologies for feed and ads recommendation, compass, computer, computer graphics, computer performance, computer science tutorial, computer science tutorials, computer vision, computer vision 2020, computing, concept, convolution, convolutional neural network, cosine similarity, data, data compression, data science tutorial, deconvolution, deep learning, deep learning and cnns, deep learnning, deep learnning tutorial, definition, depiction, design, desk, diagram, diamond, digital image processing, dimension, dsgmm and deep cluster-and-aggregate method, dynamic programming, education, email spam, energy, engine, enzyme kinetics, equation, essay, euclidean vector, experiment, extract, transform, load, feature (machine learning), feature extraction, feature learning, feed recommendation , film frame, finite set, function (mathematics), gas, gender, gradient, grayscale, hidden markov model, histogram, history, hyperparameter optimization, image embeddings, image representations , image segmentation, image understanding, imagenet, improvements on 3d cnn, improvements on 3d cnns and two-stream, infection, information, information retrieval, input/output, inspection, instagram, intelligence, interface (computing), internet, introduction - feed, ads, search and spam, inverted index, k-means clustering, kdd2020 tutorials, language, language model, learning, lecture-style tutorials, letter case, likelihood function, linear combination, linearity, linkedin, literature, logic, long short-term memory, machine, machine learning, map, markov chain, markov model, mathematical optimization, matrix (mathematics), mean, meme, memory, metric learning for images, metric space, microsoft, mixture model, mobile app, monotonic function, motivation, moving average, mp3, multimedia, multimedia infrastructure, multimedia search, multimodality, multivariate random variable, music, nature, navigation, neural network, news, non-local networks and slowfast, nothing, number, object detection, online and offline, optical character recognition, optical flow, optimization for cnns, oracle corporation, parameter, parity bit, phoneme, pixel, plasterwork, podcast, precision and recall, prediction, protein–protein interaction, radio, reason, recommender system, recurrent neural network, research, robust statistics, satya nadella, search algorithm, search engine, search engine indexing, self-supervised learning, self-supervised video embeddings, sense, signal, similarity learning, simulation, sms, social media, social networking service, softmax function, software , space, spam detection, spamming, spectral density, spectrogram, speech, speech recognition, speech technologies for video understanding, spotify, statistical classification, statistics, streaming media, summation, supervised learning, support-vector machine, temporal topic localization, texas, three-dimensional space, transcription (linguistics), transmission (mechanics), truck, two-stream networks, typing, understanding, unsupervised learning, upload, use case, variance, vector graphics, vector space, video, video captioning, video classification, video embeddings and networks, video game, video game console, video game live streaming, video representations used in production, video search, video search engine, video understanding, weight, youtube
Sumit Srivastava
Staff Applied Research Engineer at LinkedIn
before deep learning , artificial intelligence , artificial intelligence tutorial, computer science conference , feed and ads modeling, introduction to multimedia, visio-lingual representations, 3d cnns, accent (sociolinguistics), accuracy and precision, acm 2020 tutorial, acoustic model, action recognition, ads recommendation, advertising, algorithm, angle, apache hadoop, api, application software, applications at linkedin, art, artificial intelligence tutorial, artificial neural network, association for computing machinery, attention, attention (machine learning), average, baby talk, bag-of-words model, bangalore, beef, before deep learning , bible, bichon frise, cartesian coordinate system, castle, central processing unit, click-through rate, closed captioning, code-division multiple access, codec, coherence (physics), common technologies for feed and ads recommendation, compass, computer, computer graphics, computer performance, computer science tutorial, computer science tutorials, computer vision, computer vision 2020, computing, concept, convolution, convolutional neural network, cosine similarity, data, data compression, data science tutorial, deconvolution, deep learning, deep learning and cnns, deep learnning, deep learnning tutorial, definition, depiction, design, desk, diagram, diamond, digital image processing, dimension, dsgmm and deep cluster-and-aggregate method, dynamic programming, education, email spam, energy, engine, enzyme kinetics, equation, essay, euclidean vector, experiment, extract, transform, load, feature (machine learning), feature extraction, feature learning, feed recommendation , film frame, finite set, function (mathematics), gas, gender, gradient, grayscale, hidden markov model, histogram, history, hyperparameter optimization, image embeddings, image representations , image segmentation, image understanding, imagenet, improvements on 3d cnn, improvements on 3d cnns and two-stream, infection, information, information retrieval, input/output, inspection, instagram, intelligence, interface (computing), internet, introduction - feed, ads, search and spam, inverted index, k-means clustering, kdd2020 tutorials, language, language model, learning, lecture-style tutorials, letter case, likelihood function, linear combination, linearity, linkedin, literature, logic, long short-term memory, machine, machine learning, map, markov chain, markov model, mathematical optimization, matrix (mathematics), mean, meme, memory, metric learning for images, metric space, microsoft, mixture model, mobile app, monotonic function, motivation, moving average, mp3, multimedia, multimedia infrastructure, multimedia search, multimodality, multivariate random variable, music, nature, navigation, neural network, news, non-local networks and slowfast, nothing, number, object detection, online and offline, optical character recognition, optical flow, optimization for cnns, oracle corporation, parameter, parity bit, phoneme, pixel, plasterwork, podcast, precision and recall, prediction, protein–protein interaction, radio, reason, recommender system, recurrent neural network, research, robust statistics, satya nadella, search algorithm, search engine, search engine indexing, self-supervised learning, self-supervised video embeddings, sense, signal, similarity learning, simulation, sms, social media, social networking service, softmax function, software , space, spam detection, spamming, spectral density, spectrogram, speech, speech recognition, speech technologies for video understanding, spotify, statistical classification, statistics, streaming media, summation, supervised learning, support-vector machine, temporal topic localization, texas, three-dimensional space, transcription (linguistics), transmission (mechanics), truck, two-stream networks, typing, understanding, unsupervised learning, upload, use case, variance, vector graphics, vector space, video, video captioning, video classification, video embeddings and networks, video game, video game console, video game live streaming, video representations used in production, video search, video search engine, video understanding, weight, youtube
Sirjan Kafle
Senior Machine Learning Engineer, Multimedia AI at LinkedIn
before deep learning , artificial intelligence , artificial intelligence tutorial, computer science conference , feed and ads modeling, introduction to multimedia, visio-lingual representations, 3d cnns, accent (sociolinguistics), accuracy and precision, acm 2020 tutorial, acoustic model, action recognition, ads recommendation, advertising, algorithm, angle, apache hadoop, api, application software, applications at linkedin, art, artificial intelligence tutorial, artificial neural network, association for computing machinery, attention, attention (machine learning), average, baby talk, bag-of-words model, bangalore, beef, before deep learning , bible, bichon frise, cartesian coordinate system, castle, central processing unit, click-through rate, closed captioning, code-division multiple access, codec, coherence (physics), common technologies for feed and ads recommendation, compass, computer, computer graphics, computer performance, computer science tutorial, computer science tutorials, computer vision, computer vision 2020, computing, concept, convolution, convolutional neural network, cosine similarity, data, data compression, data science tutorial, deconvolution, deep learning, deep learning and cnns, deep learnning, deep learnning tutorial, definition, depiction, design, desk, diagram, diamond, digital image processing, dimension, dsgmm and deep cluster-and-aggregate method, dynamic programming, education, email spam, energy, engine, enzyme kinetics, equation, essay, euclidean vector, experiment, extract, transform, load, feature (machine learning), feature extraction, feature learning, feed recommendation , film frame, finite set, function (mathematics), gas, gender, gradient, grayscale, hidden markov model, histogram, history, hyperparameter optimization, image embeddings, image representations , image segmentation, image understanding, imagenet, improvements on 3d cnn, improvements on 3d cnns and two-stream, infection, information, information retrieval, input/output, inspection, instagram, intelligence, interface (computing), internet, introduction - feed, ads, search and spam, inverted index, k-means clustering, kdd2020 tutorials, language, language model, learning, lecture-style tutorials, letter case, likelihood function, linear combination, linearity, linkedin, literature, logic, long short-term memory, machine, machine learning, map, markov chain, markov model, mathematical optimization, matrix (mathematics), mean, meme, memory, metric learning for images, metric space, microsoft, mixture model, mobile app, monotonic function, motivation, moving average, mp3, multimedia, multimedia infrastructure, multimedia search, multimodality, multivariate random variable, music, nature, navigation, neural network, news, non-local networks and slowfast, nothing, number, object detection, online and offline, optical character recognition, optical flow, optimization for cnns, oracle corporation, parameter, parity bit, phoneme, pixel, plasterwork, podcast, precision and recall, prediction, protein–protein interaction, radio, reason, recommender system, recurrent neural network, research, robust statistics, satya nadella, search algorithm, search engine, search engine indexing, self-supervised learning, self-supervised video embeddings, sense, signal, similarity learning, simulation, sms, social media, social networking service, softmax function, software , space, spam detection, spamming, spectral density, spectrogram, speech, speech recognition, speech technologies for video understanding, spotify, statistical classification, statistics, streaming media, summation, supervised learning, support-vector machine, temporal topic localization, texas, three-dimensional space, transcription (linguistics), transmission (mechanics), truck, two-stream networks, typing, understanding, unsupervised learning, upload, use case, variance, vector graphics, vector space, video, video captioning, video classification, video embeddings and networks, video game, video game console, video game live streaming, video representations used in production, video search, video search engine, video understanding, weight, youtube
Aman Gupta
Senior Machine Learning Scientist at LinkedIn Multimedia AI
before deep learning , artificial intelligence , artificial intelligence tutorial, computer science conference , feed and ads modeling, introduction to multimedia, visio-lingual representations, 3d cnns, accent (sociolinguistics), accuracy and precision, acm 2020 tutorial, acoustic model, action recognition, ads recommendation, advertising, algorithm, angle, apache hadoop, api, application software, applications at linkedin, art, artificial intelligence tutorial, artificial neural network, association for computing machinery, attention, attention (machine learning), average, baby talk, bag-of-words model, bangalore, beef, before deep learning , bible, bichon frise, cartesian coordinate system, castle, central processing unit, click-through rate, closed captioning, code-division multiple access, codec, coherence (physics), common technologies for feed and ads recommendation, compass, computer, computer graphics, computer performance, computer science tutorial, computer science tutorials, computer vision, computer vision 2020, computing, concept, convolution, convolutional neural network, cosine similarity, data, data compression, data science tutorial, deconvolution, deep learning, deep learning and cnns, deep learnning, deep learnning tutorial, definition, depiction, design, desk, diagram, diamond, digital image processing, dimension, dsgmm and deep cluster-and-aggregate method, dynamic programming, education, email spam, energy, engine, enzyme kinetics, equation, essay, euclidean vector, experiment, extract, transform, load, feature (machine learning), feature extraction, feature learning, feed recommendation , film frame, finite set, function (mathematics), gas, gender, gradient, grayscale, hidden markov model, histogram, history, hyperparameter optimization, image embeddings, image representations , image segmentation, image understanding, imagenet, improvements on 3d cnn, improvements on 3d cnns and two-stream, infection, information, information retrieval, input/output, inspection, instagram, intelligence, interface (computing), internet, introduction - feed, ads, search and spam, inverted index, k-means clustering, kdd2020 tutorials, language, language model, learning, lecture-style tutorials, letter case, likelihood function, linear combination, linearity, linkedin, literature, logic, long short-term memory, machine, machine learning, map, markov chain, markov model, mathematical optimization, matrix (mathematics), mean, meme, memory, metric learning for images, metric space, microsoft, mixture model, mobile app, monotonic function, motivation, moving average, mp3, multimedia, multimedia infrastructure, multimedia search, multimodality, multivariate random variable, music, nature, navigation, neural network, news, non-local networks and slowfast, nothing, number, object detection, online and offline, optical character recognition, optical flow, optimization for cnns, oracle corporation, parameter, parity bit, phoneme, pixel, plasterwork, podcast, precision and recall, prediction, protein–protein interaction, radio, reason, recommender system, recurrent neural network, research, robust statistics, satya nadella, search algorithm, search engine, search engine indexing, self-supervised learning, self-supervised video embeddings, sense, signal, similarity learning, simulation, sms, social media, social networking service, softmax function, software , space, spam detection, spamming, spectral density, spectrogram, speech, speech recognition, speech technologies for video understanding, spotify, statistical classification, statistics, streaming media, summation, supervised learning, support-vector machine, temporal topic localization, texas, three-dimensional space, transcription (linguistics), transmission (mechanics), truck, two-stream networks, typing, understanding, unsupervised learning, upload, use case, variance, vector graphics, vector space, video, video captioning, video classification, video embeddings and networks, video game, video game console, video game live streaming, video representations used in production, video search, video search engine, video understanding, weight, youtube
Ananth Sankar
Principal Staff Engineer at LinkedIn
before deep learning , artificial intelligence , artificial intelligence tutorial, computer science conference , feed and ads modeling, introduction to multimedia, visio-lingual representations, 3d cnns, accent (sociolinguistics), accuracy and precision, acm 2020 tutorial, acoustic model, action recognition, ads recommendation, advertising, ai, algorithm, angle, apache hadoop, api, application software, applications at linkedin, art, artificial intelligence tutorial, artificial neural network, association for computing machinery, attention, attention (machine learning), automatic summarization, average, baby talk, backpropagation, bag-of-words model, bangalore, beef, before deep learning , bible, bichon frise, black box, cartesian coordinate system, castle, central processing unit, click-through rate, closed captioning, code-division multiple access, codec, coherence (physics), common technologies for feed and ads recommendation, compass, computer, computer graphics, computer performance, computer science tutorial, computer science tutorials, computer vision, computer vision 2020, computing, concept, convolution, convolutional neural network, cosine similarity, cross entropy, data, data compression, data science, data science tutorial, deconvolution, deep learning, deep learning and cnns, deep learnning, deep learnning tutorial, definition, depiction, design, desk, diagram, diamond, digital image processing, dimension, dsgmm and deep cluster-and-aggregate method, dynamic programming, education, email spam, encoding (memory), energy, engine, english language, enzyme kinetics, equation, essay, euclidean vector, experiment, extract, transform, load, feature (machine learning), feature extraction, feature learning, feed recommendation , feedforward neural network, film frame, finite set, four-dimensional space, function (mathematics), gas, gender, gradient, grayscale, hidden markov model, histogram, history, hyperparameter optimization, image embeddings, image representations , image segmentation, image understanding, imagenet, improvements on 3d cnn, improvements on 3d cnns and two-stream, infection, information, information retrieval, input/output, inspection, instagram, intelligence, interface (computing), internet, introduction - feed, ads, search and spam, inverted index, k-means clustering, kdd2020 tutorials, language, language model, learning, lecture-style tutorials, letter case, likelihood function, linear combination, linearity, linkedin, literature, logic, long short-term memory, machine, machine learning, map, markov chain, markov model, mathematical optimization, matrix (mathematics), mean, meme, memory, metric learning for images, metric space, microsoft, mind, mixture model, mobile app, monotonic function, motivation, moving average, mp3, multimedia, multimedia infrastructure, multimedia search, multimodality, multivariate random variable, music, natural language processing, nature, navigation, neural network, neural networks, news, non-local networks and slowfast, nothing, number, object detection, odsc, odsc india, online and offline, optical character recognition, optical flow, optimization for cnns, oracle corporation, parameter, parity bit, phoneme, pixel, plasterwork, podcast, precision and recall, prediction, protein–protein interaction, radio, reason, recommender system, recurrent neural network, research, robust statistics, satya nadella, search algorithm, search engine, search engine indexing, self-supervised learning, self-supervised video embeddings, semantics, sense, signal, similarity learning, simulation, sms, social media, social networking service, softmax function, software , space, spam detection, spamming, spectral density, spectrogram, speech, speech recognition, speech technologies for video understanding, spotify, statistical classification, statistics, streaming media, summation, supervised learning, support-vector machine, temporal topic localization, texas, three-dimensional space, transcription (linguistics), transmission (mechanics), truck, two-stream networks, typing, understanding, unsupervised learning, upload, use case, vanishing gradient problem, variance, vector graphics, vector space, video, video captioning, video classification, video embeddings and networks, video game, video game console, video game live streaming, video representations used in production, video search, video search engine, video understanding, vocabulary, weight, youtube
Naomi Teng
Digital Innovation Program Manager, ANZ at AWS
ai, amazon, amazon web services, artificial intelligence, artificial neural network, aws, aws machine learning summit, aws ml summit, cartesian coordinate system, convolutional neural network, distance, dog, grayscale, intelligence, learning, machine learning, mle202, no expertise required, pet, pixel, prediction, python (programming language), race (human categorization), reinforcement, reinforcement learning, robot, simulation, statistics, unsupervised learning, waypoint
Semir Haddad
Senior Director Product Marketing at Eta Compute
accelerometer, active-pixel sensor, algorithm, amazon alexa, api, application software, artificial intelligence 2020, bluetooth, camera, car, central processing unit, cloud computing, cmos, compiler, computer, computer hardware, computer science, computer science 2021, computer science event 2021, computer vision, deep learning, digital signal processor, electrical connector, engine, eye, google, graphics display resolution, grayscale, himax, home theater pc, inference, information technology, information technology & services , information technology conference , integrated circuit, intelligence, interface (computing), latency (engineering), library (computing), lighting, linkedin, low-power electronics, machine, machine learning, machine learning 2021, machine learning techniques, machine learning technologie, machine learning technologies , machine learning tools, microphone, mind, music, open-source software, pixel, pleasure, program optimization, relay, semir haddad, sense, sensor, serial port, smartphone, snapchat, software , space, speech recognition, spotify, talk by semir haddad, tampa, florida, tinyml asia 2020, tinyml conference 2020, tinyml foundation, tinyml2021, tinyml2021 talk, toyota prius, twitter, usb, use case, vibration, wikipedia
Hunter Carlisle
Senior Manager at Bambee
adversarial machine learning, algorithmic bias, census, chatbot, complexity, computer vision, credit score, deep learning, general data protection regulation, grayscale, imagenet, information privacy, information security, internet privacy, machine learning, ml/ai projects, practices and techniques, prediction, privacy, real-time computer graphics, recidivism, regulatory compliance, self-driving car, sentiment analysis, training, validation, and test sets, twitter
Dan Kuhlken
Lead Illustrator at DKNG Studios
#acctags, #adobecc, #makeadobecc, 3d computer graphics, adobe cc, adobe cloud, adobe creative cloud, adobe creative suite, adobe photoshop, anchor, angle, art/creative director, bitmap, brand, concept development, creative cloud, cubic crystal system, design, design thinking, digital painting, dkng, drawing, font, graphic design, graphic designer, grayscale, hexagon, how to, illustration, illustrator, inspiration, isometric projection, jpeg, lock (water navigation), mathematics, palette (computing), print designer, raster graphics, silver, social media, tessellation, texture mapping, tiff, transparency (graphic), vector graphics, web designer, yellow
Nathan Goldman
Creative Director at DKNG Studios
#acctags, #adobecc, #makeadobecc, 3d computer graphics, adobe cc, adobe cloud, adobe creative cloud, adobe creative suite, adobe photoshop, anchor, angle, art/creative director, bitmap, brand, concept development, creative cloud, cubic crystal system, design, design thinking, digital painting, dkng, drawing, font, graphic design, graphic designer, grayscale, hexagon, how to, illustration, illustrator, inspiration, isometric projection, jpeg, lock (water navigation), mathematics, palette (computing), print designer, raster graphics, silver, social media, tessellation, texture mapping, tiff, transparency (graphic), vector graphics, web designer, yellow
Julieanne Kost
Photoshop & Lightroom at Adobe
#acctags, #adobecc, #makeadobecc, adobe cc, adobe cloud, adobe creative cloud, adobe creative suite, adobe inc., adobe lightroom, adobe photoshop, blend modes, blending, camera, cloud, collage, color, colorfulness, composite, composites, compositing, creative cloud, cursor (user interface), digital imaging, educator, exposure (photography), game developer, glass, graphic design, grayscale, halo (optical phenomenon), how to, ice, inspiration, jpeg, landscape, lasso tool, photographer, photography, photoshop, print designer, rainbow, raw image format, selection, shadow, texture mapping, tints and shades, web designer, white
Mark Heaps
Head of Brand & Creative at Groq
#acctags, #adobecc, #makeadobecc, adobe bridge, adobe cc, adobe cloud, adobe creative cloud, adobe creative suite, adobe illustrator, adobe inc., adobe indesign, adobe photoshop, art direction, artboards, automation, batch processing, best practice, black and white, blend modes, brushes, color photography, communication, creative cloud, creative cloud libraries, creative direction, creative director, cut, copy, and paste, design, double-click, drag (physics), facebook, font, gradients, graphic design, graphic designer, graphics, grayscale, illustrator, infographic, ink, instagram, jpeg, layers (digital image editing), libraries, machine learning, mirror, mural, optima, perspective (graphical), photograph, photoshop, print designer, production, shadow, social media, sphere, storytelling, styles, tax, technology, textures, tiff, tile, time, twitter, ui and ux, vortex, web designer
Atul Deshpande
Postdoctoral Researcher at The Johns Hopkins University
accessibility, art, bias, bioc2020, bioconductor, bioinformatics, brainstorming, cielab color space, color, color blindness, color difference, color space, color vision, conference, crowdsourcing, data science, data visualization , distance, education, future, geographic information system, google docs, google hangouts, graphics, grayscale, interpreter (computing), ishihara test, language, map, motivation, palette (computing), pdf, prediction, reason, reddit, research, rgb color model, screen reader, sense, training, usability, user experience, virtual conference, visual acuity, visual impairment, visual perception, wikipedia, world wide web
Surya Ganguli
Assistant Professor at Stanford
artificial neural network, brain–computer interface, color, dopamine, echo chamber (media), education, educational technology, grayscale, humanism, idea, mathematics, memory, mind, mit schwarzman college of computing, parkinson's disease, personalized learning, psychology, reason, reinforcement learning, retina, speech recognition, university, visual perception
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