Cortical.io announced its breakthrough prototype for classifying high volumes of unstructured text. Classifying documents or messages constitutes one of the most fundamental Natural Language Understanding (NLU) functions for business artificial intelligence (AI). The benchmark was carried out on two similar system setups using the same, off-the-shelve, dual AMD-Epyc server hardware. The “BERT” system, a transformer-based machine learning technique for natural language processing, was augmented by a NVidia GPU. The “Semantic Folding” approach utilized a cost comparable number of Xilinx Alveo FPGA accelerator cards.
Cortical.io Semantic Folding Approach Demonstrates a 2,800x Acceleration and 4,300x Increase in Energy Efficiency over BERT
The World’s Most Ambitious Knowledge Graph
In this contributed article, editorial consultant Jelani Harper highlights how knowledge graphs have become one of the foremost expressions of Artificial Intelligence today. Almost everyone—from vendors to organizations, analysts to regulators—relies on these applications at some point to compile, harmonize, and scrutinize specialized business information.
Cortical.io Demonstrates Real-time Semantic Supercomputing for NLU
Today Cortical.io 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. “We are taking the concept of supercomputing to the next level with the introduction of Semantic Supercomputing and the ability to deliver real-time processing of semantic content.”
Cortical.io Demonstrates Natural Language Understanding Inspired by Neuroscience
In this video, Cortical.io CEO Francisco Webber demonstrates how the company’s software running on Xilinx FPGAs breaks new ground in the field of natural language understanding (NLU). “Cortical.io delivers AI-based Natural Language Understanding solutions which are quicker and easier to implement and more capable than current approaches. The company’s patented approach enables enterprises to more effectively search, extract, annotate and analyze key information from any kind of unstructured text.”







