Fidest – Agenzia giornalistica/press agency

Quotidiano di informazione – Anno 31 n° 330

Cortical.io Announces the First Application of Real-time Semantic Supercomputing

Posted by fidest press agency su venerdì, 15 novembre 2019

 

Cortical.io, a leader in AI-based Natural Language Understanding (NLU) solutions, today announced the debut of a new class of high-performance enterprise applications based on “Semantic Supercomputing.” Semantic Supercomputing combines Cortical.io AI-based NLU software inspired by neuroscience with hardware acceleration to create new solutions to understand and process streams of natural language content at massive scale in real time.
The first application of Semantic Supercomputing, a Messaging Classification Appliance that can filter, classify and route streams of messages in real time by understanding the semantic content – the meaning and intent of the messages – was unveiled today at Xilinx Developer Forum (XDF) Europe keynote session at the Xilinx, Inc. developer conference held November 12-13 in The Hague. Building on the strategic relationship announced with Xilinx at last month’s at XDF Americas in San Jose, Cortical.io is developing this first of a series of FPGA-based appliances powered by Xilinx Alveo accelerator cards. Cortical.io also announced it is partnering with Supermicro (SMCI), a global leader in enterprise computing, storage, networking solutions and green computing technology, to deliver the email solution on a pre-loaded server. The appliance will enable enterprises to filter and route massive volumes of email messages in real time with high precision and recall based on the meaning of the message. The product will be available in Q1 2020.
Enterprise system administrators will be able to train the system and customize the filtering and routing based on a small number of sample emails. Once trained, the appliance works across multiple languages (English, Spanish, German, Portuguese, Cantonese, Arabic, French, Italian, Mandarin Chinese, Dutch).
The unique 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 methods 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.

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