Speakers

accuracy and precision, ai, algorithm, android (operating system), apache hive, artificial intelligence, asynchronous i/o, attention, automatic differentiation, automation, big data, bigquery, binary classification, book, business event, business intelligence, cloud bigquery, cloud computing, command-line interface, compiler, compressed sensing, computer, computer data storage, computer programming, computer vision, concept, conference, continuous integration, convolutional neural network, coursera, data loss prevention software, data model, data type, data warehouse, data-flow diagram, database, deep learning, derivative, directory (computing), emerging tech, entrepreneur conference, entry point, explainable artificial intelligence, extract, transform, load, f1 score, facebook, feature engineering, feature engineering in bigquery, feature engineering in tensorflow 2.0, generative model, geographic information system, github, google, google brain, google developers, google knowledge graph, hash function, inverse problem, java (programming language), json, keras, kirkland ml summit, kubernetes , lak lakshmanan, law, learning, machine learning, machine learning developments, machine learning news, machine learning recent developments, machine learning summit, mapreduce, mean squared error, metadata, ml, ml conference, ml summit, motion planning, natural language processing, optical character recognition, optics, pdf, pipeline (computing), prediction, privacy, programmer, project jupyter, raw data, reality, receipt, regression analysis, regularization (mathematics), reinforcement learning, research, robotics, serverless computing, softmax function, software , software development, statistical classification, statistics, system, tensorflow, tensorflow 2.0, tensorflow keras, training, validation, and test sets, using ai, web hosting service, what’s going on in machine learning, world wide web

ai, android (operating system), asynchronous i/o, attention, business event, business intelligence, cloud computing, computer data storage, computer programming, conference, data loss prevention software, data model, database, deep learning, emerging tech, entrepreneur conference, explainable artificial intelligence, google knowledge graph, json, machine learning, ml, optical character recognition, optics, pdf, programmer, project jupyter, receipt, research, web hosting service, world wide web

cloud computing, cognitive bias, computational complexity theory, concept, credit card, credit card fraud, data center, dave vellante, deep learning, explainable artificial intelligence, facebook, federated learning, inference, innovation, john furrier, machine learning, mortgage loan, privacy, reason, redlining, risk, siliconangle, siliconangle inc, siliconangle media inc, social media, statistical inference, thecube, twitter, use case, wikibon, zip code

abraham maslow, algorithm, automation, black box, color, computer vision, credit card, decision-making, dog, engineering, explainable artificial intelligence, food, human, intelligence, machine learning, motivation, neural network, research, robot, security, self-driving car, team, twitter, understanding

automation, bias, causality, compressor, credibility, engineer, expert, explainable artificial intelligence, intelligence, laboratory, learning, leverage (finance), machine learning, memory, personal computer, reason, research, risk, science, simulation, society, software , system, trust (social science)

5g, adversarial machine learning, ai hackers, algorithm, alphago, alphago versus lee sedol, apple inc., authentication, automation, bailout, best practice, big data, blockchain, business, capitalism, censorship, clipper chip, cloud computing, common good, computer security, con, conference speakers, conscience, creativity, crime, critical infrastructure, cryptography , cyber security, cybersecurity, dc27, decentralization, decision-making, def, def con 2019, def con 27, defcon, determinism, digital divide, disinformation, economic growth, economics, edward snowden, encryption, evolution, expert, explainable artificial intelligence, fake news/influence operations, file system, freedom of speech, general data protection regulation, google nest, google play, governance, government regulations, hacker, hacker community, hacker conference, hackers, hackers & threats, hacking conference, huawei, human element, indeterminism, information, information privacy, infosec, innovation, institution, intelligence, internet, internet of things, internet privacy, iso/iec 27001, justice, legislation, market (economics), market system, mind, mobile & iot security, mobile app, mootness, national security, national security agency, net neutrality, outsourcing, patch (computing), penetration test, persuasion, philosophy, phrases from the hitchhiker's guide to the galaxy, policy & government, privacy, property, protecting data & the supply chain ecosystem, reality, risk & vulnerability assessment, risk management & governance, robot, rsa, rsac, rsaconference, security, security conference, security conference 2019, security hacker, simulation, social engineering, social media, software , software bug, startup company, supply chain, surveillance, system, tax avoidance, technological singularity, technology, technology infrastructure & operations, thought, transparency (behavior), trust (social science), understanding, vulnerability (computing), wall street, white hat (computer security), world wide web

#googleio, #tfworld, 32-bit computing, ai accelerator, algorithm, analytics, android (operating system), ankur narang, anna roth, anusha ramesh, apple inc., application programming interface, arm architecture, artificial intelligence, artificial neural network, automation, c++, central processing unit, chris lattner, cloud computing, cluster analysis, command-line interface, computer vision, cross-platform software, ct scan, data validation, deep learning, device driver, digital signal processor, embedded system, emotion, end-to-end machine learning pipeline, explainable artificial intelligence, general-purpose input/output, google, google ai, google announcement, google assistant, google cloud platform updates, google conference, google developer conference, google i/o, google io, google machine learning updates, google ml updates, google play services, google search, gradient boosting, graphics processing unit, hike, image segmentation, interpreter (computing), ios, jared duke, java (programming language), javascript, joseph paul cohen, konstantinos katsiapis, library (computing), linkedin, linux, machine learning, metadata, microcontroller, microsoft, mike liang, ml from google 2021, mobile app, mobile device, numpy, nvidia, o'reilly, open-source software, opencl, opengl, pr_pr: google i/o, product lifecycle, profiling (computer programming), program optimization, prototype, purpose: inform, radiology, raspberry pi, real-time computing, reliability engineering, responsible ai, runtime system, sandeep gupta, sarah sirajuddin, scripting language, serverless computing, simulation, smartwatch, software testing, spotify, spotify home, statistical classification, streaming media, tatiana shpeisman, tensorflow, tensorflow 2.0, tensorflow 2.5, tensorflow hub, tensorflow lite, tensorflow world, tensorflow world 2019, tensorflow.js, tony jebara, type: conference talk (full production), ujval kapasi, university of montreal, web application, web browser, webgl, wechat, what's new in machine learning 2021

#googleio, #tfworld, ai, android (operating system), api, apple inc., artificial intelligence, artificial neural network, attention, automation, big data, brand, cloud computing, computer programming, computer vision, continuous delivery, craig wiley, cross-platform software, customer relationship management, data model, deep learning, diabetes, diabetic retinopathy, embedded system, end-to-end machine learning pipeline, explainable artificial intelligence, frederick reiss, fundus photography, google, google ai, google announcement, google cloud platform updates, google conference, google developer conference, google i/o, google io, google machine learning updates, google ml updates, google play services, graphics processing unit, ibm, imagenet, innovation, insight, ios, javascript, jeff dean, kemal el moujahid, kubernetes , library, linkedin, machine learning, megan kacholia, metadata, microcontroller, ml, ml from google 2021, mobile app, moore's law, o'reilly, o'reilly tensorflow world, ophthalmology, patch (computing), pr_pr: google i/o, prediction, product lifecycle, profiling (computer programming), prototype, purpose: inform, python (programming language), reliability engineering, responsible ai, retail, retinopathy, santa clara convention center, science, screening (medicine), self-driving car, serverless computing, simulation, software bug, software testing, speech recognition, speech synthesis, strategic management, tensorflow, tensorflow 2.0, tensorflow 2.5, tensorflow world, tensorflow world 19, tensorflow world 2019, tf world, tf world 19, tf world 2019, tfworld, tfworld 19, tfworld 2019, theodore summe, twitter, type: conference talk (full production), type: conference talk (full production);, usability, visual impairment, visual perception, waymo, what's new in machine learning 2021

#googleio, android (operating system), apple inc., automation, chrome os, chromebook, cloud computing, crashlytics, cross-platform software, developer keynote io 2021, developer products 2021, embedded system, end-to-end machine learning pipeline, explainable artificial intelligence, fitbit, google, google announcement, google chrome, google cloud platform updates, google conference, google dev, google developer conference, google developer platform updates 2021, google developer product updates 2021, google developer products 2021, google developers, google i/o, google io, google machine learning updates, google maps, google ml updates, google play, google play services, google product areas, google product releases, http cookie, ios, javascript, json, linkedin, linux, machine learning, messaging apps, metadata, microcontroller, ml from google 2021, mobile app, pr_pr: google i/o, product lifecycle, profiling (computer programming), progressive web application, prototype, purpose: inform, reliability engineering, responsible ai, serverless computing, simulation, sms, software testing, spotify, tablet computer, tensorflow, tensorflow 2.5, top 10 google products, top google products, type: conference talk (full production), wear os, webgl, webrtc, website, what's new in machine learning 2021

acm 2020, artificial intelligence, artificial intelligence in healthcare, computer science 2020, computer science event 2020, computer vision, conceptual model, convolutional neural network, correlation and dependence, data science, deep learning, electronic health record, evidence-based medicine, expert, explainable artificial intelligence, health informatics, hidden markov model, international classification of diseases, kdd2020, kdd2020 tutorials, machine learning, medical diagnosis, medical ethics, medical history, neural network, pharmacovigilance, physician burnout, regression analysis, regularization (mathematics), reliability engineering, sensitivity analysis, user-centered design, visualization (graphics)

acm 2020, artificial intelligence, artificial intelligence in healthcare, computer science 2020, computer science event 2020, computer vision, conceptual model, convolutional neural network, correlation and dependence, data science, deep learning, electronic health record, evidence-based medicine, expert, explainable artificial intelligence, health informatics, hidden markov model, international classification of diseases, kdd2020, kdd2020 tutorials, machine learning, medical diagnosis, medical ethics, medical history, neural network, pharmacovigilance, physician burnout, regression analysis, regularization (mathematics), reliability engineering, sensitivity analysis, user-centered design, visualization (graphics)

acm 2020, artificial intelligence, artificial intelligence in healthcare, computer science 2020, computer science event 2020, computer vision, conceptual model, convolutional neural network, correlation and dependence, data science, deep learning, electronic health record, evidence-based medicine, expert, explainable artificial intelligence, health informatics, hidden markov model, international classification of diseases, kdd2020, kdd2020 tutorials, machine learning, medical diagnosis, medical ethics, medical history, neural network, pharmacovigilance, physician burnout, regression analysis, regularization (mathematics), reliability engineering, sensitivity analysis, user-centered design, visualization (graphics)

acm 2020, artificial intelligence, artificial intelligence in healthcare, computer science 2020, computer science event 2020, computer vision, conceptual model, convolutional neural network, correlation and dependence, data science, deep learning, electronic health record, evidence-based medicine, expert, explainable artificial intelligence, health informatics, hidden markov model, international classification of diseases, kdd2020, kdd2020 tutorials, machine learning, medical diagnosis, medical ethics, medical history, neural network, pharmacovigilance, physician burnout, regression analysis, regularization (mathematics), reliability engineering, sensitivity analysis, user-centered design, visualization (graphics)

acm 2020, artificial intelligence, artificial intelligence in healthcare, computer science 2020, computer science event 2020, computer vision, conceptual model, convolutional neural network, correlation and dependence, data science, deep learning, electronic health record, evidence-based medicine, expert, explainable artificial intelligence, health informatics, hidden markov model, international classification of diseases, kdd2020, kdd2020 tutorials, machine learning, medical diagnosis, medical ethics, medical history, neural network, pharmacovigilance, physician burnout, regression analysis, regularization (mathematics), reliability engineering, sensitivity analysis, user-centered design, visualization (graphics)

acm 2020, artificial intelligence, artificial intelligence in healthcare, computer science 2020, computer science event 2020, computer vision, conceptual model, convolutional neural network, correlation and dependence, data science, deep learning, electronic health record, evidence-based medicine, expert, explainable artificial intelligence, health informatics, hidden markov model, international classification of diseases, kdd2020, kdd2020 tutorials, machine learning, medical diagnosis, medical ethics, medical history, neural network, pharmacovigilance, physician burnout, regression analysis, regularization (mathematics), reliability engineering, sensitivity analysis, user-centered design, visualization (graphics)

acm 2020, artificial intelligence, artificial intelligence in healthcare, computer science 2020, computer science event 2020, computer vision, conceptual model, convolutional neural network, correlation and dependence, data science, deep learning, electronic health record, evidence-based medicine, expert, explainable artificial intelligence, health informatics, hidden markov model, international classification of diseases, kdd2020, kdd2020 tutorials, machine learning, medical diagnosis, medical ethics, medical history, neural network, pharmacovigilance, physician burnout, regression analysis, regularization (mathematics), reliability engineering, sensitivity analysis, user-centered design, visualization (graphics)

acm 2020, artificial intelligence, artificial intelligence in healthcare, computer science 2020, computer science event 2020, computer vision, conceptual model, convolutional neural network, correlation and dependence, data science, deep learning, electronic health record, evidence-based medicine, expert, explainable artificial intelligence, health informatics, hidden markov model, international classification of diseases, kdd2020, kdd2020 tutorials, machine learning, medical diagnosis, medical ethics, medical history, neural network, pharmacovigilance, physician burnout, regression analysis, regularization (mathematics), reliability engineering, sensitivity analysis, user-centered design, visualization (graphics)

acm 2020, alphago, artificial general intelligence, artificial intelligence 2020, artificial neural network, association for computing machinery, climate change, climate variability and change, computer programming, computer science 2020, computer science event 2020, deep learning 2020, deepmind, drake equation, earth day at kdd, el niño–southern oscillation, energy development, explainable artificial intelligence, general circulation model, heuristic (computer science), instrumental temperature record, kdd2020, machine learning, machine learning 2020, numerical weather prediction, ocean, ocean acidification, pesticide, reverse engineering, seawater, software , superintelligence, weather forecasting

ai, algorithm, apple inc., attention, bias, blockchain, business, business event, businessevent, car, ceo, chief executive officer, child, cloud, cognition, compiler, computer programming, computer vision, covid-19 pandemic, credit, credit score in the united states, customer experience, cybersecurity, data model, data science, debt, deep learning, devops, digital transformation, emerging tech, emergingtech, engineering, enterprise, entrepreneur conference, entrepreneurconference, entrepreneurship, explainable artificial intelligence, facebook, fiddler labs, financial technology, fintech, founder, gender, gender role, healthtech, human capital, income, information, innovation, intelligence, iot, jaywalking, knowledge, korea, kpmg, krishna gade, learning, light, machine, machine gun, machine learning, manoj shinde, martech, mathematical optimization, mind, ml, mother, operating model, outlier, perception, prediction, pump, ratio, reason, regulatory compliance, revenue model, risk, robotics, salience (language), san francisco bay area, self-driving car, servicenow, severe acute respiratory syndrome coronavirus 2, sreekar krishna, startup company, technology, tie, tie silicon valley, tie sv, tiecon, tiecon 2019, tiesv, tiewomen, tieyouth, touchpoint, training, validation, and test sets, transparency (behavior), understanding, vehicular automation, venturebeat, water, womenentrepreneurs, wordsofwisdom, youngentrepreneurs

apple inc., attention, bias, cognition, computer vision, credit score in the united states, deep learning, explainable artificial intelligence, gender, gender role, information, jaywalking, light, machine learning, perception, reason, regulatory compliance, risk, robotics, salience (language), self-driving car, training, validation, and test sets, transparency (behavior), vehicular automation

aisle, algorithm, android (operating system), apple inc., attention, bias, cognition, complexity, computer vision, covid-19 pandemic, credit score in the united states, deep learning, energy, experiment, explainable artificial intelligence, gender, gender role, highway, human, hydrogen, information, jaywalking, kitchen, labour economics, lane, learning, light, machine learning, matter, moscow, muscle, patient, perception, prediction, rapid transit, reason, regulatory compliance, risk, robotics, salience (language), salt, sanitation, self-driving car, sinkhole, training, validation, and test sets, transparency (behavior), vehicle, vehicular automation

abuse, attitude (psychology), belief, bias, credit, develop strategies, disability, discrimination, employment discrimination, environment, equal opportunity, events, explainable artificial intelligence, gender, identity (social science), implicit stereotype, in-group favoritism, life-changing decisions, machine learning, mathematical optimization, non-binary gender, programmer, protected group, racism, social equality, social exclusion, social issue, transgender

abuse, attitude (psychology), belief, bias, credit, develop strategies, disability, discrimination, employment discrimination, environment, equal opportunity, events, explainable artificial intelligence, gender, identity (social science), implicit stereotype, in-group favoritism, life-changing decisions, machine learning, mathematical optimization, non-binary gender, programmer, protected group, racism, social equality, social exclusion, social issue, transgender

computer science event, machine learning tools, 8-bit computing, algorithm, amazon alexa, android (operating system), arm architecture, arm cortex-m, artificial intelligence, artificial neural network, automation, biology, bit, central processing unit, clinical decision support system, cloud computing, computer, computer hardware, computer programming, computer science, computer science 2021, computer science conference, computer science event 2021, computer vision, computer vision conference, computing, deep learning, device driver, digital signal processor, distributed computing, ecological niche, edx, end user, explainable artificial intelligence, field-programmable gate array, floating-point arithmetic, gesture recognition, github, graphics processing unit, harvard architecture, health system, hindsight bias, instruction set architecture, integrated circuit, intel, internet of things, language, learning, learning curve, library (computing), machine learning, machine learning techniques, machine learning technologie, marine biology, metaphor, microcontroller, neural network, open source, open-source software, profiling (computer programming), program optimization, python (programming language), radiology, raspberry pi, runtime system, simulation, software , software testing, tensorflow, tinyml foundation, tinyml talks 2021, tinyml2021, usability, user interface, wii

android (operating system), arm architecture, artificial neural network, automation, clinical decision support system, computing, deep learning, device driver, explainable artificial intelligence, github, graphics processing unit, health system, hindsight bias, library (computing), machine learning, open-source software, profiling (computer programming), program optimization, python (programming language), radiology, runtime system, software , software testing, tensorflow

android (operating system), arm architecture, artificial neural network, automation, clinical decision support system, computing, deep learning, device driver, explainable artificial intelligence, github, graphics processing unit, health system, hindsight bias, library (computing), machine learning, open-source software, profiling (computer programming), program optimization, python (programming language), radiology, runtime system, software , software testing, tensorflow

ai, ai accelerator, algorithm, analytics, automation, autonomy, big data, blockchain, business process, central processing unit, climate change, cloud computing, computing, creativity, database, decision-making, deep learning, digital transformation, disease, driver's license, emerging technologies, exascale computing, exescale day, explainable artificial intelligence, future, graphics processing unit, human, information, intelligence, justice, machine learning, mathematics, medical diagnosis, mind, news, prediction, real-time computing, reason, retail, sense, simulation, software , solution group, system, technology, thecube, time, understanding

ai, algorithm, approximation, artificial intelligence, captum, computer, computer hardware, computer vision, dependent and independent variables, education, evaluation, explainable artificial intelligence, facebook, function (mathematics), library, machine learning, mathematical optimization, mean squared error, ml, model interpretability, monte carlo method, multimodality, narine kokhlikyan, neuron, openai, perturbation theory (quantum mechanics), prediction, ptd2, pytorch, pytorch 1.7, pytorch developer day, reason, research, sensitivity and specificity, source lines of code

accounting, best practice, causality, decision-making, evaluation, expert, explainable artificial intelligence, facial recognition system, governance, inventory, leadership, life-cycle assessment, machine learning, policy, prediction, retail, risk, science, stereotype, system, team, thought, type: conference talk (full production);, use case

analytics, central processing unit, cloud computing, computer, deep learning, disruptive innovation, evaluation, explainable artificial intelligence, feature engineering, google, graphics processing unit, intelligence, ipod, machine learning, mathematical optimization, mobile app, numpy, open-source software, product lifecycle, project jupyter, technology, tensorflow, type: conference talk (full production);, version control