Data Science InsightsData Science Insights

2021
12/
28

Visualizing AI: PDP Reliability using d-ICE

IntroductionHelloeveryone,thisisYushiro,adatascientistatHACARUS. Thesedays,withlibrariessuchasScikit-learn,TensorFlow,andPyTorch,itisbecomingincreasinglyeasytocreatemachinelearningmodelsusingdata.Thesemodelsarecommonlyusedtomakepredictionsfornewdatabasedondatafromthepast. However,asthesemodelsbecomemorecomplex,theissuesofblack-boxingbecomemoreprevalent.Thismakesitdifficultforuserstounderstandthereasoningbehindthemodel’sdecision-making.Black-boxingis…

2021
11/
16

Edge AI Evangelist’s Thoughts Vol.15: Bluetooth Microcomputers – Part 2

Helloeveryone,thisisHaruyukiTago,EdgeEvangelistatHACARUS'TokyoR&Dcenter.Inthisseriesofarticles,IwillsharesomeinsightsfrommydecadesofexperienceinthesemiconductorindustryandIwillcommentonvariousAIindustry-relatedtopicsfrommyuniqueperspective.Inthisvolume,Iwillcontinuemydiscussionaboutmicrocomputers.Inparticular,IwouldliketotalkaboutitsBluetoothfunctionalityfordatacollectioninanedgeAIsystem. BluetoothEnabledMicrocomputersInpart1…

2021
11/
09

Edge AI Evangelist’s Thoughts Vol.14: Bluetooth Microcomputers – Part 1

Helloeveryone,I’mHaruyukiTago,EdgeEvangelistattheHACARUSTokyoR&Dcenter.Inthisseriesofarticles,IwillsharesomeinsightsfrommydecadesofexperienceinthesemiconductorindustryandIwillcommentonvariousAIindustry-relatedtopicsfrommyuniqueperspective.Inthisvolume,IwouldliketotalkalittleaboutmicrocomputerswithBluetoothfunctionality.ThemicrocomputerswewillcovertodayarealsodesignedfordatacollectioninedgeAIsystems.MicrocomputerswithBluetoothFunctionality…

2021
7/
19

Edge AI Evangelist’s Thoughts Vol. 11: An Emerging Trend in Semiconductor Industry – Chiplets

Helloeveryone,I’mHaruyukiTago,EdgeEvangelistatHACARUSTokyoR&Dcenter.Inthisseriesofarticles,IwillsharesomeinsightsfrommydecadesofexperienceinthesemiconductorindustryandIwillcommentonvariousAIindustry-relatedtopicsfrommyuniqueperspective.Intoday’sarticle,Iamexcitedtoshareinformationaboutchipletsandhowtheyhavebeenchangingthesemiconductorindustrysince2011.Chipletshavebeeninstrumentalinbreakingthroughmanyofthetraditionallimitationssurroundingchip…

2021
5/
14

Edge AI Evangelist’s Thoughts Vol.9: Xilinx’s New FPGA Versal Platform

Helloeveryone,I’mHaruyukiTago,EdgeEvangelistatHACARUSTokyoR&Dcenter.Inthisseriesofarticles,IwillsharesomeinsightsfrommydecadesofexperienceinthesemiconductorindustryandIwillcommentonvariousAIindustryrelatedtopicsfrommyuniqueperspective.Involumeeightofthisseries,wetalkedaboutSony’sSPRESENSEdeviceandafewpotentialusesforthesystem.InparticularwediscussedanexperimentwhereSPRESENSEwasusedtoanalyzevariousfactorsaffecting…

2021
4/
06

Edge AI Evangelist’s Thoughts Vol.7: Secrets of Fugaku, the World’s Best CPU

Helloeveryone,I’mHaruyukiTago,EdgeEvangelistatHACARUSTokyoR&Dcenter.Inthisseriesofarticles,IwillsharesomeinsightsfrommydecadesofexperienceinthesemiconductorindustryandIwillcommentonvariousAIindustryrelatedtopicsfrommyuniqueperspective.Today,let’sdiscussthesecretsofFugaku,theworld’sbestperformingCPUanditsuniquedesign.IwasonceamemberoftheSoCdesignteamforembeddedmicroprocessorsandgameconsoles,whichheavilyrelied…

2021
3/
17

Histopathological Image Analysis using HistoSegNet Vol.1

Helloeveryone,mynameisHarutoTanaka,DataScientistatHACARUS.Recently,Ihavehadtheopportunitytoresearchthesegmentationofhistopathologicalimages(automaticregiondetection).Intoday'sarticle,IwouldliketointroduceyoutoHistoSegNet,adeeplearningmodelthatiscapableofdetectingpixel-levelsegmentationthroughsemi-supervisedlearning.Beforewebegin,let'stalkaboutwhatsemi-supervisedlearningis.Semi-supervisedlearningisamethodwherepreviouslycollectedincompleteorinaccuratedataisstudiedbyadeeplearning…

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