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We propose Sketched Online Newton (SON), an online second order learning algorithm that enjoys substantially improved regret guarantees for ill-conditioned data. SON is an enhanced version of the Online Newton Step, which, via sketching techniques enjoys a running time linear in the dimension and sketch size. We further develop sparse forms of the sketching methods (such as Oja's rule), making the computation linear in the sparsity of features. Together, the algorithm eliminates all computational obstacles in previous second order online learning approaches.
Jerry Kaplan does for the future what Jared Diamond did for the past: He pulls together our human (or humanoid) fate in sparkling,often hilarious, prose. Kaplan begins by offering the non scientific reader (me) a clear overview of the AI advances that are poised to make human workers obsolete--offering eye popping examples explaining how the pace of technology is destined to overwhelm the human landscape of life and work. He then charts the changes that span FAR more than driverless cars. Mechanical robots (or what Kaplan calls "forged intelligences") will be more adept (and. of course, far more cost effective) than humans at performing every routine job from collecting our garbage to stocking our grocery shelves (and make those physical stores quaint relics of the past). "Synthetic intelligences" (machines that think and analyze information) will outwit humans at making complex diagnoses or writing legal briefs--automating out many of the hapless law school or medical students spending decades accumulating those mountainous student debts .
SEATTLE--(BUSINESS WIRE)--(NASDAQ: AMZN)--Today, Amazon announced the Alexa Prize, an annual university competition dedicated to accelerating the field of conversational artificial intelligence (AI). The goal of the inaugural competition is to build a "socialbot" on Alexa that will converse with people about popular topics and news events. The team with the highest-performing socialbot will win a 500,000 prize. Additionally, a prize of 1 million will be awarded to the winning team's university if their socialbot achieves the grand challenge of conversing coherently and engagingly with humans for 20 minutes. Teams of university students can submit applications now and the contest will conclude at AWS re:invent in November 2017, where the winners will be announced.
The book is more like a quick compilation of a college student's note. Concepts are presented in a relatively isolated manner; connections between concepts are, for the large part, missing. Furthermore, if the materials presented are rather shallow like in this book, readers will expect to see a strong emphasis on, or hands on exercises of, practical applications. But this book doesn't seem to help much in that regard either, despite what the book claims. The book does give introduction to a bunch of models, which can be useful for a beginner.