Google AI Blog: septiembre 2017

The Google Brain Team’s Approach to Research

miércoles, 13 de septiembre de 2017

Posted by Jeff Dean, Google Senior FellowGoogle Brain teamTranslateMapsblog postpaperhundreds of papersNIPSICMLICLRDistill.publaunched byTensorFlow PlaygroundPAIRdeeplearn.jsGoogle Brain Residency Programits inaugural yearBrain team membersGoogle Research

Highlights from the Annual Google PhD Fellowship Summit, and Announcing the 2017 Google PhD Fellows

martes, 12 de septiembre de 2017

Posted by Susie Kim, Program Manager, University RelationsPhD Fellowship ProgramAustraliaChina and East AsiaIndiaNorth America, Europe and the Middle EastMaggie JohnsonEd ChiDouglas EckÚlfar ErlingssonDina PapagiannakiViren JainIan GoodfellowKevin MurphyGalen Andrew

Google Fellows attending the 2017 Global PhD Fellowship Summit

Domagoj BabicKathryn McKinleyNina TaftRoy WantSunny Colsalvo

Fellows share their work with Google researchers during the poster session

2017 Google PhD FellowsAlgorithms, Optimizations and MarketsUniversity of California, BerkeleyHarvard UniversityUniversity of Southern CaliforniaHuman-Computer InteractionUniversity of Illinois, Urbana-ChampaignNorthwestern UniversityUniversity of Minnesota - Twin CitiesThe University of MelbourneMachine LearningFondation Sciences Mathématiques de ParisColumbia UniversityUniversity College LondonSeoul National UniversityThe University of SydneyNew York UniversityIndian Institute of ScienceTsinghua UniversityUniversity of AmsterdamUniversity of TorontoPeking UniversityCornell UniversityMachine Perception, Speech Technology and Computer VisionInternational Institute of Information Technology - HyderabadSaarland University - Saarbrücken GSCS and Max Planck Institute for InformaticsImperial College LondonStanford UniversityUniversity of California, San DiegoUniversity of Texas, AustinMobile ComputingKorea Advanced Institute of Science and TechnologyShanghai Jiao Tong UniversityNatural Language ProcessingIndian Institute of Technology KharagpurThe University of MelbourneThe University of EdinburghStanford UniversityTsinghua UniversityIndian Institute of Technology MadrasUniversity College LondonPrivacy and SecurityENS - École Normale SupérieureDuke UniversityUniversity of Maryland, College ParkProgramming Languages, Algorithms and Software EngineeringAarhus UniversityUniversity of California, Los AngelesTel-Aviv UniversityStructured Data and Database ManagementEPFL CSUniversity of Illinois, Urbana-ChampaignSystems and NetworkingGeorgia Institute of TechnologyUniversity of California, IrvineUniversity of California, BerkeleyPrinceton UniversityAustralian National University

Build your own Machine Learning Visualizations with the new TensorBoard API

lunes, 11 de septiembre de 2017

Posted by Chi Zeng and Justine Tunney, Software Engineers, Google Brain Teamwe open-sourced TensorFlow in 2015TensorBoardexploring clusters in high-dimensional spacesset of APIstensorboard/plugins directory on GitHubprecision-recall curves

A TensorFlow summary op used to collect data for later visualization. [GitHub]

A Python backend that serves custom data. [GitHub]

A dashboard within TensorBoard built with TypeScript and polymer. [GitHub]

provides a demoTensorBoard “Greeter” pluginexisting pluginsBeholder,Chris Andersonhere

issue trackerAcknowledgements

Seminal Ideas from 2007

miércoles, 6 de septiembre de 2017

Posted by Anna Ukhanova, Technical Program Manager, Google Research EuropeICML Test-of-Time AwardSylvain GellyGoogle Brain teamZurich officeDavid SilverDeepMindAlphaGoCombining Online and Offline Knowledge in UCTGame of GoDeep BlueAlphaGoinnovations and technological advances123tree searchMonte-Carlo Tree Searchsearch tree^*MoGoreinforcement learning
* As a side note, that’s why machine learning as a whole is such a powerful tool: replacing expert knowledge with algorithms that can more fully explore potential outcomes.^↩

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The Google Brain Team’s Approach to Research

Highlights from the Annual Google PhD Fellowship Summit, and Announcing the 2017 Google PhD Fellows

Build your own Machine Learning Visualizations with the new TensorBoard API

Seminal Ideas from 2007

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