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    Eva MarieEva Marie Y. MorescoXiaohong LiBruce BeutlerDavid P. HajjarAntonio M. GottoAndré N. TiadenPeter J. RichardsPhilip FurmanskiKyle C. KurekTwinkal C. PansuriyaMaayke van RulerBrendy van den AkkerValerie L. LuksSofie VerbekeHarry KozakewichRaf SciotDina LevAlexander J. LazarChristopher FletcherJudith V.M.G. BovéeLiza J. RaggattKylie A. AlexanderSimranpreet KaurAndy WuKelli P. A. MacDonaldAllison R. PettitChristophe HourdéPierre JoanneFadia MedjaNathalie MougenotAdeline JacquetÉtienne MouiselAlice PannérecStéphane N. HatemGillian Butler‐BrowneOnnik AgbulutArnaud FerryYang LiuJennifer A. BartlettMarissa E. DiJennifer M. BombergerYvonne ChanLokesh GakharRama K. MallampalliPaul B. McCrayDi YangMark L. OrmistonYupu DengNatalie T. RundleFarid BendjelloulJames N. TsoporisThomas ParkerDuncan StewartDavid CourtmanChunjun LiYu LiuYan ChenDemin YuKevin WilliamsMing‐Lin LiuUrsula HidenNassim Ghaffari‐Tabrizi‐WizsyMartin GausterCarmen Tam‐AmersdorferIrene CetinMartina Dieber‐RothenederUwe LangGernot DesoyéQiang DingGuoqiang CaiMeng HuYoufeng YangAnni ZhengQinjiu TangCandece L. GladsonHaruko HayasakaHongju WuZhiying YouBrian D. SouthernL. GroveS.M.W. RahamanHaotian FangMitchell A. OlmanYuan LiPing HeQianqian SunJie LiuLu GaoXingji YouHang GuXin NiKelly R. BergmannShirley LiuRunlan TianAnna KushnirJerrold R. TurnerHonglin LiPauline ChouChristopher R. WeberIsabelle G. De PlaenMin CongTianhui LiuPing WangFan XuAiting YangYanfeng BaiZhen PengPeng WuXiaofei TongJing ChenHao LiRui CongShuzhen TangBao-en WangJia Ji-dongHong YouYuchen ZhangÉmilie ViennoisBo XiaoMark A. BakerStephen C. YangIjeoma Solomon OkoroYutao YanJinqiang ZhangChang HanHanqing ZhuKyoungsub SongTong WuSohshi MorimuraMakoto SugayaShinichi SatoPrince AwuahKari Nejak‐BowenSatdarshan P. MongaSteven PennockDavid KimShizuo MukaiMatthew KuhnleDal ChunJoanne A. MatsubaraJing CuiPatrick MaDavid MaberleyArif SamadR. van der GeestSarit L. ObersteinReinier O. SchlingemannAndrius KazlauskasSofia HelmerssonAnette SundstedtAdnan DeronicTomas LeandersonFredrik Ivars
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    We present a method to classify objects in video streams using a brain-inspired Hierarchical Temporal Memory (HTM) algorithm. Object classification is a challenging task where humans still significantly outperform machine learning algorithms due to their unique capabilities. We have implemented a system which achieves very promising performance in terms of recognition accuracy. Unfortunately, conducting more advanced experiments is very computationally demanding; some of the trials run on a standard CPU may take as long as several days for 960x540 video streams frames. Therefore we have decided to accelerate selected parts of the system using OpenCL. In particular, we seek to determine to what extent porting selected and computationally demanding parts of a core may speed up calculations. The classification accuracy of the system was examined through a series of experiments and the performance was given in terms of F1 score as a function of the number of columns, synapses, $min\_overlap$ and $winners\_set\_size$. The system achieves the highest F1 score of 0.95 and 0.91 for $min\_overlap=4$ and 256 synapses, respectively. We have also conduced a series of experiments with different hardware setups and measured CPU/GPU acceleration. The best kernel speed-up of 632x and 207x was reached for 256 synapses and 1024 columns. However, overall acceleration including transfer time was significantly lower and amounted to 6.5x and 3.2x for the same setup.
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    The nationally-recognized Susquehanna Chorale will delight audiences of all ages with a diverse mix of classic and contemporary pieces. The ChoraleAƒÂƒA‚ƒAƒÂ‚A‚ƒAƒÂƒA‚‚AƒÂ‚A‚ƒAƒÂƒA‚ƒAƒÂ‚A‚‚AƒÂƒA‚‚AƒÂ‚A‚ƒAƒÂƒA‚ƒAƒÂ‚A‚ƒAƒÂƒA‚‚AƒÂ‚A‚‚AƒÂƒA‚ƒAƒÂ‚A‚‚AƒÂƒA‚‚AƒÂ‚A‚¢AƒÂƒA‚ƒAƒÂ‚A‚ƒAƒÂƒA‚‚AƒÂ‚A‚ƒAƒÂƒA‚ƒAƒÂ‚A‚‚AƒÂƒA‚‚AƒÂ‚A‚‚AƒÂƒA‚ƒAƒÂ‚A‚ƒAƒÂƒA‚‚AƒÂ‚A‚‚AƒÂƒA‚ƒAƒÂ‚A‚‚AƒÂƒA‚‚AƒÂ‚A‚€AƒÂƒA‚ƒAƒÂ‚A‚ƒAƒÂƒA‚‚AƒÂ‚A‚ƒAƒÂƒA‚ƒAƒÂ‚A‚‚AƒÂƒA‚‚AƒÂ‚A‚‚AƒÂƒA‚ƒAƒÂ‚A‚ƒAƒÂƒA‚‚AƒÂ‚A‚‚AƒÂƒA‚ƒAƒÂ‚A‚‚AƒÂƒA‚‚AƒÂ‚A‚™s performances have been described as AƒÂƒA‚ƒAƒÂ‚A‚ƒAƒÂƒA‚‚AƒÂ‚A‚ƒAƒÂƒA‚ƒAƒÂ‚A‚‚AƒÂƒA‚‚AƒÂ‚A‚ƒAƒÂƒA‚ƒAƒÂ‚A‚ƒAƒÂƒA‚‚AƒÂ‚A‚‚AƒÂƒA‚ƒAƒÂ‚A‚‚AƒÂƒA‚‚AƒÂ‚A‚¢AƒÂƒA‚ƒAƒÂ‚A‚ƒAƒÂƒA‚‚AƒÂ‚A‚ƒAƒÂƒA‚ƒAƒÂ‚A‚‚AƒÂƒA‚‚AƒÂ‚A‚‚AƒÂƒA‚ƒAƒÂ‚A‚ƒAƒÂƒA‚‚AƒÂ‚A‚‚AƒÂƒA‚ƒAƒÂ‚A‚‚AƒÂƒA‚‚AƒÂ‚A‚€AƒÂƒA‚ƒAƒÂ‚A‚ƒAƒÂƒA‚‚AƒÂ‚A‚ƒAƒÂƒA‚ƒAƒÂ‚A‚‚AƒÂƒA‚‚AƒÂ‚A‚‚AƒÂƒA‚ƒAƒÂ‚A‚ƒAƒÂƒA‚‚AƒÂ‚A‚‚AƒÂƒA‚ƒAƒÂ‚A‚‚AƒÂƒA‚‚AƒÂ‚A‚œemotionally unfiltered, honest music making, successful in their aim to make the audience feel, to be moved, to be part of the performance - and all this while working at an extremely high musical level.AƒÂƒA‚ƒAƒÂ‚A‚ƒAƒÂƒA‚‚AƒÂ‚A‚ƒAƒÂƒA‚ƒAƒÂ‚A‚‚AƒÂƒA‚‚AƒÂ‚A‚ƒAƒÂƒA‚ƒAƒÂ‚A‚ƒAƒÂƒA‚‚AƒÂ‚A‚‚AƒÂƒA‚ƒAƒÂ‚A‚‚AƒÂƒA‚‚AƒÂ‚A‚¢AƒÂƒA‚ƒAƒÂ‚A‚ƒAƒÂƒA‚‚AƒÂ‚A‚ƒAƒÂƒA‚ƒAƒÂ‚A‚‚AƒÂƒA‚‚AƒÂ‚A‚‚AƒÂƒA‚ƒAƒÂ‚A‚ƒAƒÂƒA‚‚AƒÂ‚A‚‚AƒÂƒA‚ƒAƒÂ‚A‚‚AƒÂƒA‚‚AƒÂ‚A‚€AƒÂƒA‚ƒAƒÂ‚A‚ƒAƒÂƒA‚‚AƒÂ‚A‚ƒAƒÂƒA‚ƒAƒÂ‚A‚‚AƒÂƒA‚‚AƒÂ‚A‚‚AƒÂƒA‚ƒAƒÂ‚A‚ƒAƒÂƒA‚‚AƒÂ‚A‚‚AƒÂƒA‚ƒAƒÂ‚A‚‚AƒÂƒA‚‚AƒÂ‚A‚ Experience choral singing that will take you to new heights!
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