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David Austin
Sr Principal Engineer at Intel
accuracy and precision, attention, brute-force search, convolutional neural network, data science, equinor, experiment, first-order logic, hyperparameter (machine learning), hyperparameter optimization, image classification, image classifier, imagenet, insight, kaggle, kaggle grandmaster, learning rate, machine learning, machine learning platform, machine learning tools, mathematical optimization, memory, ml, outlier, overfitting, parameter, pixel, program optimization, satellite, source lines of code, visualization (graphics), workflow
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
Alan Ho
Product Manager at Google
algorithm, amplifier, application software, artificial neural network, atomic orbital, calibration, capacitor, cartesian coordinate system, central processing unit, cloud computing, cluster state, coherence (physics), compiler, computational complexity theory, computer, computer hardware, computer programming, computing, convolutional neural network, cryptography , david deutsch, deep learning, distributed computing, electron, electronic circuit, engineering, expert, flops, function (mathematics), inductor, innovation, integrated circuit, lc circuit, library, machine learning, map, mathematics, microscope, mind, modular programming, multi-core processor, multiprocessing, neural network, numpy, open source, open-source software, physical and logical qubits, physics, polynomial, programmer, prototype, python (programming language), quantum algorithm, quantum circuit, quantum computing, quantum entanglement, quantum logic gate, quantum machine learning, quantum network, quantum neural network, quantum supremacy, random number generation, scalability, scanning electron microscope, science, semiconductor device fabrication, signal, software , software framework, software release life cycle, stack (abstract data type), startup company, superconducting quantum computing, system, telephone, tensorflow, time, training, validation, and test sets
Jon Krohn
Chief Data Scientist at untapt
#datascience, #datasciencevenndiagram, #investing, #podcast, #r, #superdatascience, algorithm, artificial neuron, automatic differentiation, brain, c++, compiler, computer programming, computer vision, convolutional neural network, deep learning, google brain, input/output, library (computing), linguistics, machine learning, machine translation, machine vision, numpy, pixel, project jupyter, pytorch, software , speech recognition, tensor, tensorflow
Ibrahim Ulukaya
Staff Developer Relations Engineer at Google
analytics, android (operating system), api, app data, application software, artificial neural network, client-side, cloud computing, computer file, content delivery network, convolutional neural network, crashlytics, credit card, dashboard (business), download, encoding (memory), file format, file system, firebase, google, google analytics, google cloud platform, information, ios, javascript, laptop, latency (engineering), machine learning, mobile app, operating system, point of sale, recommender system, server (computing), server-side, sirius satellite radio, slack (software), subscription business model, technology and resources, tensorflow, tensorflow and firebase, training, validation, and test sets, upload, url redirection, use case, web application, web browser, world wide web
Ajay Jain
EECS PhD at UC Berkeley
algorithm, artificial neural network, autoregressive model, bit, color, communication, convolution, convolutional neural network, data compression, deep learning, holography, information, joint probability distribution, lighting, likelihood function, matrix (mathematics), matrix multiplication, maximum likelihood estimation, neural network, parameter, patch (computing), pixel, python (programming language), raster graphics, time series
Ekta Khanna
Staff Engineer at VMware
algorithm, analytics, api, artificial neural network, computer, computer vision, convolutional neural network, database, deep learning, digital image processing, experiment, gradient descent, graphics processing unit, hyperparameter optimization, library (computing), machine learning, mathematical optimization, memory, neural networks, parallel computing, regularization (mathematics), roman empire, smartphone, speech recognition, tensorflow
Swetha Revanur
Founding Engineer at Hebbia.AI
ai, artificial intelligence, computer science, convolutional neural network, data science conference 2020, data science tips, deep learning, diabetic retinopathy, education and research, healthcare, healthcare ai, hyperparameter optimization, intelligence, machine learning, magnetic resonance imaging, medical diagnosis, medical imaging, multiclass classification, natural language processing, pathology, radiology, retina, robotics, self-driving car, sensitivity and specificity, sensor, statistical classification, surveillance, training, validation, and test sets, turing test, understanding, wids 2020, wids mumbai 2020, wids worldwide, woman in data science , women in data science, women in technology
Bhawna Nigam
Advisor at Deepiotics Pvt. Ltd.
ai, artificial intelligence, computer science, convolutional neural network, data science conference 2020, data science tips, deep learning, diabetic retinopathy, education and research, healthcare, healthcare ai, hyperparameter optimization, intelligence, machine learning, magnetic resonance imaging, medical diagnosis, medical imaging, multiclass classification, natural language processing, pathology, radiology, retina, robotics, self-driving car, sensitivity and specificity, sensor, statistical classification, surveillance, training, validation, and test sets, turing test, understanding, wids 2020, wids mumbai 2020, wids worldwide, woman in data science , women in data science, women in technology
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
Cees Snoek
Professor in Artificial Intelligence at University of Amsterdam
algorithmic bias, artificial neural network, central processing unit, computer vision, concept, conceptual model, convolutional neural network, data sheet, deep learning, feature learning, hyperparameter optimization, image quality, image segmentation, imagenet, learning to rank, neural network, overfitting, prediction, programmer, representation (arts), statistical classification, supervised learning, support-vector machine, unsupervised learning, variance
Kuan-Chuan Peng
Research Scientist at Mitsubishi Electric Research Laboratories
algorithmic bias, artificial neural network, central processing unit, computer vision, concept, conceptual model, convolutional neural network, data sheet, deep learning, feature learning, hyperparameter optimization, image quality, image segmentation, imagenet, learning to rank, neural network, overfitting, prediction, programmer, representation (arts), statistical classification, supervised learning, support-vector machine, unsupervised learning, variance
Andrew David Bagdanov
Associate Professor at University of Florence
algorithmic bias, artificial neural network, central processing unit, computer vision, concept, conceptual model, convolutional neural network, data sheet, deep learning, feature learning, hyperparameter optimization, image quality, image segmentation, imagenet, learning to rank, neural network, overfitting, prediction, programmer, representation (arts), statistical classification, supervised learning, support-vector machine, unsupervised learning, variance
Thomas Chen
Chair of the Department of Mathematics, College of Natural Sciences at The University of Texas at Austin
artificial intelligence, artificial neural network, climate change, computer vision, convolutional neural network, crowdsourcing, deep learning, earthquake, forecasting, graphics processing unit, ground truth, imagenet, machine learning, natural language processing, neural network, nvidia, nvidia tesla, prediction, python, python tutorial, python virtual conference 2021, qualitative research, quantitative research, research, science, scientific computing, scipy2021, sentiment analysis, social media, understanding
Gianluigi Botton
Science Director at Canadian Light Source Inc.
artificial intelligence, artificial neural network, autoencoder, charge-coupled device, codec, convolutional neural network, data compression, data science, deconvolution, deep learning, digitization, distortion, electron, electron microscope, image segmentation, machine learning, microscope, modulation, noise reduction, photonics, python 2021, python tutorial, science, science research, scipy library, scipy tools, scipy tutorial, signal, software engineering, spectral density, spectroscopy, spectrum, statistical classification, statistics, transmission electron microscopy
Alexandre Pofelski
Postdoctoral Researcher at McMaster University
artificial intelligence, artificial neural network, autoencoder, charge-coupled device, codec, convolutional neural network, data compression, data science, deconvolution, deep learning, digitization, distortion, electron, electron microscope, image segmentation, machine learning, microscope, modulation, noise reduction, photonics, python 2021, python tutorial, science, science research, scipy library, scipy tools, scipy tutorial, signal, software engineering, spectral density, spectroscopy, spectrum, statistical classification, statistics, transmission electron microscopy
Shayan Mousavi s
Research Assistant at anadian Center of Electron Microscopy
artificial intelligence, artificial neural network, autoencoder, charge-coupled device, codec, convolutional neural network, data compression, data science, deconvolution, deep learning, digitization, distortion, electron, electron microscope, image segmentation, machine learning, microscope, modulation, noise reduction, photonics, python 2021, python tutorial, science, science research, scipy library, scipy tools, scipy tutorial, signal, software engineering, spectral density, spectroscopy, spectrum, statistical classification, statistics, transmission electron microscopy
Matt Bauman
Director of Applications Engineering at Julia Computing Inc.
api, application software, bit, bluetooth, computer file, computing, convolutional neural network, cuda, file system, graphical widget, graphics processing unit, html, iso 9660, julia (programming language), julia hoffman, juliahub, laptop, machine, mathematics, mnist database, neural network, newton's method, pluto, server (computing), software release life cycle, youtube
Connor Burns
Software Developer
accuracy and precision, api, bit, client (computing), convolutional neural network, email, eval, function (mathematics), hypertext transfer protocol, javascript, julia (programming language), mnist database, named parameter, neural network, parameter (computer programming), parsing, prediction, reserved word, return statement, server (computing), statistics, vector space, web apis, web application, world wide web, youtube
Jason Pontin
Partner at DCVC
analytics, antiviral drug, artificial neural network, bioinformatics, biology, bit, clean technology, cloud computing, consumer behaviour, convolutional neural network, creativity, d-wave systems, data science, database, deep learning, deepmind, digital transformation, drive-through, drug design, federated learning, future, innovation, inventory, learning, machine learning, neural network, postmates, prediction, predictive policing, privacy, quantum computing, quantum supremacy, robot, salesforce, science, simulation, sustainability, telecommuting, telehealth, thought, understanding, xilinx, zoom (software)
Konstantinos Sgantzos
CO2 Emissions Registry Department Officer at Lignitiki Megalopolis S.A.
accuracy and precision, alphago, alphago zero, artificial general intelligence, artificial intelligence, big data, bitcoin, bitcoin sv, blockchain, brain, coingeek coinversation, coingeek conference, complexity, convolutional neural network, deep learning, history, human, information, intelligence, internet of things, konstantinos sgantzos, machine learning, neural network, nick bostrom, randomness, simulation, synergy, truth, usability
Emma Strubell
Assistant Professor at Carnegie Mellon University
accuracy and precision, alternating current, analog computer, analog-to-digital converter, artificial neural network, carbon footprint, climate impact, cloud computing, convolutional neural network, deep learning, efficient energy use, electrical resistance and conductance, electricity, graphics processing unit, input/output, kilowatt-hour, low-carbon economy, machine learning, moore's law, ohm's law, performance per watt, precision and recall, resistor, sampling (statistics), voltage
Vivienne Sze
Professor at MIT
accuracy and precision, alternating current, alzheimer's disease, analog computer, analog-to-digital converter, artificial neural network, autonomous robot, binary multiplier, carbon footprint, climate impact, cloud computing, computer, computer vision, convolutional neural network, data compression, deep learning, dementia, efficient energy use, electrical resistance and conductance, electricity, graphics processing unit, image segmentation, inertial measurement unit, inertial navigation system, input/output, kilowatt-hour, low-carbon economy, machine learning, moore's law, neural network, ohm's law, parallel computing, parkinson's disease, performance per watt, precision and recall, resistor, robotics, sampling (statistics), self-driving car, smartphone, speech recognition, unmanned aerial vehicle, voltage
Nicolo Fusi
Principal Researcher at Microsoft Research
accuracy and precision, alternating current, analog computer, analog-to-digital converter, artificial neural network, carbon footprint, climate impact, cloud computing, computer vision, convolutional neural network, data science, deep learning, efficient energy use, electrical resistance and conductance, electricity, expert, gaussian process, google search, graphics processing unit, hyperparameter optimization, image segmentation, input/output, kilowatt-hour, logistic regression, low-carbon economy, machine learning, mathematical optimization, moore's law, neural network, normal distribution, ohm's law, performance per watt, precision and recall, prediction, privacy, project jupyter, random forest, recurrent neural network, regression analysis, resistor, sampling (statistics), science, self-driving car, statistical classification, supervised learning, voltage
Diana Marculescu
Professor and Department Chair at The University of Texas at Austin
computer science event 2021, machine learning 2021, accuracy and precision, acm 2020, alternating current, analog computer, analog-to-digital converter, apple inc., application software, artificial intelligence, artificial neural network, association for computing machinery, augmented reality, carbon footprint, climate impact, cloud computing, computer data storage, computer science 2020, computer science 2021, computer science conference 2021, computer science event, computer science event 2020, computer vision, computing, consumption (economics), convolutional neural network, deep learning, diana marculescu, efficient energy use, electric battery, electrical resistance and conductance, electricity, goal, graphics processing unit, home automation, hypothesis, imagenet, input/output, kdd2020, kilowatt-hour, low-carbon economy, machine learning, memory, mobile phone, moore's law, ohm's law, performance per watt, precision and recall, quantization (signal processing), reason, resistor, sampling (statistics), smartphone, smartwatch, software , system on a chip, tensorflow, tinyml foundation, tinyml2021, tinyml2021 keynote, voltage, wearable technology
Philip Rosenfield
Senior Reseach Program Manager at Microsoft
accuracy and precision, alternating current, analog computer, analog-to-digital converter, artificial neural network, carbon footprint, climate impact, cloud computing, convolutional neural network, deep learning, efficient energy use, electrical resistance and conductance, electricity, graphics processing unit, input/output, kilowatt-hour, low-carbon economy, machine learning, moore's law, ohm's law, performance per watt, precision and recall, resistor, sampling (statistics), voltage
Curtis Langlotz
Professor of Radiology and Biomedical Informatics at Stanford University School of Medicine
active surveillance of prostate cancer, angiography, basal-cell carcinoma, cancer, cardiology, cedars-sinai medical center, convolutional neural network, echocardiography, education, health informatics, heart failure, image segmentation, learning, machine learning, medical imaging, medicine, neural network, prediction, research, science, stroke, surveillance, x-ray
Claire Monteleoni
Associate Professor at University of Colorado Boulder
artificial neural network, climate change, climate model, climatology, computer vision, convolutional neural network, deep learning, downscaling, ensemble forecasting, forecasting, generative model, gradient, machine learning, map, mathematical model, meteorology, numerical weather prediction, proxy (climate), semi-supervised learning, simulation, supervised learning, theory, tropical cyclone, unsupervised learning
David Kanter
Vice President at MLCommons
artificial neural network, benchmarking, best practice, big data, computer vision, convolutional neural network, fugaku (supercomputer), gradient descent, imagenet, innovation, kubernetes , machine learning, natural language processing, neural network, open data, platform, research, scientific method, self-driving car, software testing, speech recognition, stochastic gradient descent, supercomputer, visual impairment
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