Francisco Webber offers a critical overview of current approaches to artificial intelligence using “brute force” (aka big data machine learning) as well as a practical demonstration of semantic folding, an alternative approach based on computational principles found in the human neocortex. Semantic folding is not just a research prototype—it’s a production-grade enterprise technology.
Francisco explores the theoretical underpinnings of semantic folding, which solves the representational problem and the semantic grounding problem—both well known by AI-researchers since the 1980s, and offers an introduction to the Retina Engine, an Apache Spark library for semantic processing of text. Along the way, Francisco demonstrates functional prototypes of semantic classification, semantic filtering, and semantic searching and explains the applications of semantic folding for the finance, media, automotive, legal, medical, and safety and security industries.
Francisco Webber is the CEO and cofounder of Cortical.io, a company that develops natural language processing solutions for big text data. Francisco’s medical background in genetics combined with his more than two decades of experience in information technology inspired him to create semantic folding, a groundbreaking technology based on the latest findings on the way the human neocortex processes information. Prior to Cortical.io, Francisco founded Matrixware Information Services, a company that developed the first standardized database of patents. Francisco also initiated the Information Retrieval Facility, a nonprofit research institute, with the goal to bridge the gap between science and industry in the information retrieval domain.
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