Received: from nobody by stodi.digitalkingdom.org with local (Exim 4.90_1) (envelope-from ) id 1fXiQO-00063g-TG for lojban-newreal@lojban.org; Tue, 26 Jun 2018 00:30:04 -0700 Received: from [37.122.138.149] (port=10178 helo=spur-ai.date) by stodi.digitalkingdom.org with esmtp (Exim 4.90_1) (envelope-from ) id 1fXiPO-00060p-0p for lojban@lojban.org; Tue, 26 Jun 2018 00:29:03 -0700 From: " Lowell" Date: Tue, 26 Jun 2018 02:17:01 -0500 MIME-Version: 1.0 Subject: Read Ellen's Story on Youthful Skin (Pics Inside) Ellen Aging Backwards! To: Message-ID: Content-Type: multipart/alternative; boundary="------------94168631496587449112792" X-Spam-Score: 1.7 (+) X-Spam_score: 1.7 X-Spam_score_int: 17 X-Spam_bar: + X-Spam-Report: Spam detection software, running on the system "stodi.digitalkingdom.org", has NOT identified this incoming email as spam. The original message has been attached to this so you can view it or label similar future email. If you have any questions, see the administrator of that system for details. Content preview: Artificial intelligence researchers are closing in on tripod a new benchmark for comparing the human re mind and a machine. On Wednesday, DeepMind, poll a research organization that operates under the [...] Content analysis details: (1.7 points, 5.0 required) pts rule name description ---- ---------------------- -------------------------------------------------- 0.0 URIBL_BLOCKED ADMINISTRATOR NOTICE: The query to URIBL was blocked. See http://wiki.apache.org/spamassassin/DnsBlocklists#dnsbl-block for more information. [URIs: spur-ai.date] 0.1 SPF_HELO_NEUTRAL SPF: HELO does not match SPF record (neutral) 0.8 SPF_NEUTRAL SPF: sender does not match SPF record (neutral) -0.0 BAYES_40 BODY: Bayes spam probability is 20 to 40% [score: 0.2912] 0.0 HTML_MESSAGE BODY: HTML included in message 0.8 RDNS_NONE Delivered to internal network by a host with no rDNS 0.0 T_REMOTE_IMAGE Message contains an external image This is a multi-part message in MIME format. --------------94168631496587449112792 Content-Type: text/plain; charset=ISO-8859-1 Content-Transfer-Encoding: 7bit Artificial intelligence researchers are closing in on tripod a new benchmark for comparing the human re mind and a machine. On Wednesday, DeepMind, poll a research organization that operates under the soundtrack umbrella of Alphabet, reported that a program dissertation combining two separate algorithms had soundly defeated ethic a high-ranking professional Go in a resort series of five matches. The , which scripps appeared in the Jan. 27 edition of steele the journal Nature, is further evidence of raise the power created when a class of centimeter A.I. machine learning programs known as deep backbone neural networks is combined with immense sets impeccable of data. Go is seen as a smoky good test for artificial intelligence researchers because southwest it is more complex than chess, with solicit a far larger range of possible positions. debris This makes strategy and reasoning in the wag more challenging. Go is played with preparation round black and white stones, and two fleet players alternately place pieces on a square acclaim grid with the of occupying the undertaking most territory. Until recently, software programs had optimum not been able to do better than newsstand amateur Go players. In the Nature binghamton paper, engineers at DeepMind described a program, mailbox AlphaGo, that had achieved a 99.8 percent modifier winning rate against other Go programs. It earthquake also swept five games from the European chili Go champion, Fan Hui. The Alphabet approach preferably relies on the newest so-called deep learning mature approach combined with a more traditional type native of known as a Monte Carlo, nugget which is designed to exhaustively large townsend numbers of possible combinations of moves. The pleasure researchers said they had also trained their puck program using input from expert human Go suggestion players. The research and the have suite created a rivalry among the public relations solitude departments of companies like Alphabet, Microsoft and hoe Facebook. The day before the Alphabet paper kingdom was published, Facebook republished an earlier paper avo the company had posted on the arXiv.org same website. At the same time, Facebook issued toner blog posts from Yann LeCun, one erica of its artificial intelligence researchers, and one realize from the companys chief executive, Mark Zuckerberg. murky The statement by Mr. Zuckerberg resulted ask in a swift response from one Facebook quire user that may express a deeper human archbishop concern than the narrow results of the respirator research: Why dont you leave that ancient validity alone and let it be without exhibit any 82 year old women now looks58 By simply rubbing this on your face every single facial line and blemish will go over within hours See it now - Removal from further updates will occuronce you press this button ; 9 Myers St. Hamilton, OH 45011 This simply will cause further updates to not arrive in your box; 265 S. Schoolhouse St. Boynton Beach, FL 33435 --------------94168631496587449112792 Content-Type: text/html; charset=ISO-8859-1 Content-Transfer-Encoding: 7bit

Artificial intelligence researchers are closing in on tripod a new benchmark for comparing the human re mind and a machine. On Wednesday, DeepMind, poll a research organization that operates under the soundtrack umbrella of Alphabet, reported that a program dissertation combining two separate algorithms had soundly defeated ethic a high-ranking professional Go in a resort series of five matches. The , which scripps appeared in the Jan. 27 edition of steele the journal Nature, is further evidence of raise the power created when a class of centimeter A.I. machine learning programs known as deep backbone neural networks is combined with immense sets impeccable of data. Go is seen as a smoky good test for artificial intelligence researchers because southwest it is more complex than chess, with solicit a far larger range of possible positions. debris This makes strategy and reasoning in the wag more challenging. Go is played with preparation round black and white stones, and two fleet players alternately place pieces on a square acclaim grid with the of occupying the undertaking most territory. Until recently, software programs had optimum not been able to do better than newsstand amateur Go players. In the Nature binghamton paper, engineers at DeepMind described a program, mailbox AlphaGo, that had achieved a 99.8 percent modifier winning rate against other Go programs. It earthquake also swept five games from the European chili Go champion, Fan Hui. The Alphabet approach preferably relies on the newest so-called deep learning mature approach combined with a more traditional type native of known as a Monte Carlo, nugget which is designed to exhaustively large townsend numbers of possible combinations of moves. The pleasure researchers said they had also trained their puck program using input from expert human Go suggestion players. The research and the have suite created a rivalry among the public relations solitude departments of companies like Alphabet, Microsoft and hoe Facebook. The day before the Alphabet paper kingdom was published, Facebook republished an earlier paper avo the company had posted on the arXiv.org same website. At the same time, Facebook issued toner blog posts from Yann LeCun, one erica of its artificial intelligence researchers, and one realize from the companys chief executive, Mark Zuckerberg. murky The statement by Mr. Zuckerberg resulted ask in a swift response from one Facebook quire user that may express a deeper human archbishop concern than the narrow results of the respirator research: Why dont you leave that ancient validity alone and let it be without exhibit any

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