Bryan HouseinDeep SparseTrends in Machine Learning Algorithm Training: Gaming EnvironmentsEver since IBM’s Deep Blue beat world chess champion Garry Kasparov in 1997, AI researchers have been training algorithms to beat humans at…Jul 31, 2019Jul 31, 2019
Bryan HouseinDeep SparseWhy Am I Using GPUs for Deep Learning Inference?Or other domain-specific chipsets, for that matter?Jul 23, 2019Jul 23, 2019
Bryan HouseinDeep Sparse2012: A Breakthrough Year for Deep LearningNeural networks have been around for decades, with seminal early work pioneered by Geoffrey Hinton, Yann Lecun and others serving as major…Jul 17, 2019Jul 17, 2019
Bryan HouseinDeep SparseA Brief History of GPUsGraphics processing units (GPUs) were popularized in the late 1990s and early 2000s by Nvidia and ATI (now a part of AMD), but according to…Jul 9, 2019Jul 9, 2019
Bryan HouseinDeep SparseWhy Software Will Eat the Machine Learning WorldSeven years ago, Marc Andreessen wrote his now-infamous Wall Street Journal op-ed, “Why Software is Eating the World,” ushering in the…Jun 25, 20191Jun 25, 20191
Bryan HouseinDeep SparseThe Fallacy of the FLOPSChallenging Memory Requirements and Performance Standards in Machine LearningJun 19, 20191Jun 19, 20191
Bryan HouseinDeep SparseWelcome to Limitless AIThroughout history, there have been two ways of solving problems: work within limits, or find ways to overcome them.Jun 14, 2019Jun 14, 2019
