{"id":14650,"date":"2019-10-01T14:00:12","date_gmt":"2019-10-01T18:00:12","guid":{"rendered":"https:\/\/blog.tmcnet.com\/blog\/rich-tehrani\/?p=14650"},"modified":"2022-10-14T18:27:45","modified_gmt":"2022-10-14T22:27:45","slug":"cortical-io-and-xilinx-bring-nlu-supercomputing-to-enterprise-apps","status":"publish","type":"post","link":"https:\/\/blog.tmcnet.com\/blog\/rich-tehrani\/fow\/cortical-io-and-xilinx-bring-nlu-supercomputing-to-enterprise-apps.html","title":{"rendered":"Cortical.io and Xilinx Bring NLU Supercomputing to Enterprise Apps"},"content":{"rendered":"\n

Cortical.io says they deliver AI-based Natural Language Understanding (NLU) solutions which are quicker and easier to implement and more capable than current approaches. The company\u2019s patented approach enables enterprises to more effectively search, extract, annotate and analyze key information from any kind of unstructured text. Cortical.io artificial intelligence-based solutions can be quickly trained without supervision in the specialized vocabulary of any business domain and can function across multiple languages. The company\u2019s solutions have been implemented at multiple Fortune 100 businesses, covering a wide spectrum of use cases, and its strategic business partners include PwC Germany. <\/p>\n\n\n\n

The company just announced a strategic relationship with Xilinx, Inc. to deliver next-generation machine learning solutions to unlock the value of enterprise data. They also received a Strategic Investment from Xilinx.<\/p>\n\n\n\n

Cortical.io will unveil its NLU technology running on Xilinx Alveo accelerator cards demonstrating orders-of-magnitude performance increases over standard computing platforms during the Xilinx Developer Conference (XDF) in San Jose<\/a>, Oct 1-2. <\/p>\n\n\n\n

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Francisco Webber, Cortical.io CEO and co-founder <\/figcaption><\/figure><\/div>\n\n\n\n

The Cortical.io approach to NLU is inspired by the latest findings on the way the brain processes information. This approach provides advantages over traditional machine learning approaches and helps businesses solve many open NLU challenges like meaning-based filtering of terabytes of unstructured text data, real-time topic detection in social media, or semantic search over millions of documents across languages.<\/p>\n\n\n\n

Francisco Webber, Cortical.io CEO and co-founder will deliver a talk at XDF on \u201cSemantic Supercomputing<\/a>\u201d \u2013 to discuss how the combination of hardware and software enables a new class of high-performance NLU applications for the future.<\/p>\n\n\n\n

\"\"<\/figure><\/div>\n\n\n\n

\u201cCortical.io NLU solutions running on Xilinx Alveo accelerator cards will enable appliances that deliver unmatched performance for demanding enterprise applications,\u201d commented Thomas Reinemer, COO of Cortical.io. \u00a0\u201cAs FPGAs become common acceleration platforms in the fast-evolving computing environments of modern data centers alongside CPUs, Cortical.io innovative solutions will take full advantage of the power of the Xilinx FPGA-based accelerator cards.\u201d<\/p>\n\n\n\n

Where do organizations go to learn even more? The world\u2019s only\u00a0Future of Work Expo<\/a>\u00a0(collocated with the\u00a0ITEXPO\u00a0<\/a>#TechSuperShow) of course. Feb 12-14, 2020 in Fort Lauderdale, Florida. <\/p>\n\n\n\n

\"\"<\/figure>\n","protected":false},"excerpt":{"rendered":"

Cortical.io says they deliver AI-based Natural Language Understanding (NLU) solutions which are quicker and easier to implement and more capable than current approaches. The company\u2019s patented approach enables enterprises to more effectively search, extract, annotate and analyze key information from any kind of unstructured text. Cortical.io artificial intelligence-based solutions can be quickly trained without supervision<\/p>\n","protected":false},"author":44,"featured_media":14653,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[155],"tags":[1918,2435,1900,2434,2433],"post_mailing_queue_ids":[],"_links":{"self":[{"href":"https:\/\/blog.tmcnet.com\/blog\/rich-tehrani\/wp-json\/wp\/v2\/posts\/14650"}],"collection":[{"href":"https:\/\/blog.tmcnet.com\/blog\/rich-tehrani\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/blog.tmcnet.com\/blog\/rich-tehrani\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/blog.tmcnet.com\/blog\/rich-tehrani\/wp-json\/wp\/v2\/users\/44"}],"replies":[{"embeddable":true,"href":"https:\/\/blog.tmcnet.com\/blog\/rich-tehrani\/wp-json\/wp\/v2\/comments?post=14650"}],"version-history":[{"count":1,"href":"https:\/\/blog.tmcnet.com\/blog\/rich-tehrani\/wp-json\/wp\/v2\/posts\/14650\/revisions"}],"predecessor-version":[{"id":14654,"href":"https:\/\/blog.tmcnet.com\/blog\/rich-tehrani\/wp-json\/wp\/v2\/posts\/14650\/revisions\/14654"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/blog.tmcnet.com\/blog\/rich-tehrani\/wp-json\/wp\/v2\/media\/14653"}],"wp:attachment":[{"href":"https:\/\/blog.tmcnet.com\/blog\/rich-tehrani\/wp-json\/wp\/v2\/media?parent=14650"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/blog.tmcnet.com\/blog\/rich-tehrani\/wp-json\/wp\/v2\/categories?post=14650"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/blog.tmcnet.com\/blog\/rich-tehrani\/wp-json\/wp\/v2\/tags?post=14650"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}