What AI Can Learn From Romeo & Juliet

In the Forbe’s article with this name, Doug Lenat, the creator of the Cyc’s Knowledge Base, wrote: “Some of the best AI systems today have already taken one small step in the right direction: they combine right-brain machine learning with some sort of left-brain symbolic representation of knowledge (typically something like a triple-store or knowledge graph) and an inference engine that can mechanically produce some conclusions from those abstract symbolic representations.  Just as you are doing right now, as you read the words in this article.” “Some of the most sophisticated AI programs today go beyond Machine Learning, go beyond statistics, and capture some of the meaning of a piece of text. The meaning is represented in some symbolic structure – for example, OWL ontologies,” – about which you may learn at the Declarative AI conference this and next week. Link

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ML-powered Photo Upscaling

From Google AI Blog: “Natural image synthesis is a broad class of machine learning (ML) tasks with wide-ranging applications that pose a number of design challenges. One example is image super-resolution, in which a model is trained to transform a low resolution image into a detailed high resolution image. Super-resolution has many applications that can range from restoring old family portraits to improving medical imaging systems.Link Video

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Ads, privacy and confusion

Ben Evans: “Privacy is coming to the internet and cookies are going away. This is long overdue – but we don’t know what happens next, we don’t have much consensus on what online privacy actually means, and most of what’s on the table conflicts fundamentally with competition.” Link

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FEEL vs Excel Formulas

In this post Bruce Silver explains why DMN FEEL boxed expressions are more business-friendly than Excel formulas. Here is an example:

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Is SQL for Business or for IT?

Jack Jansonius shared the following article in which he argues that SQL combined with decision tables gives us a friendly 5GL language oriented to the business audience. Recently he provided a solution for our Oct-2016 Challenge “Flight Rebooking” that demonstrates his point. Below is his article:

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Postman Is Now the Largest Public API Hub

Postman Public API Network is now the largest API hub in the world, serving 17 million users and 500,000 organizations worldwide. The global directory hosts thousands of public APIs, connecting international developers and providing a central catalog of APIs built for discovery, exploration, and sharing. Link

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Decisioning Expert Panels at DecisionCAMP

Don’t miss the Decisioning Expert panels “Ask a Practitioner” and “Ask a Vendor” at DecisionCAMP-2021 on Sep 13 and 14:

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DeclarativeAI-2021

Declarative AI is the leading international conference on the blending of rules, reasoning, AI, decisions, rule-based machine learning and explanations. It brings together:

Its program has many interesting papers directly related to BR&DM, e.g.:

  • Learning decision rules or learning decision models?
  • Deep Learning for the Identification of Decision Modelling Components
  • Automatic Generation of Intelligent Chatbots from DMN Decision Models

Register

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DecisionCAMP-2021 starts in a month

This year DecisionCAMP will be held online on September 13-15. Its main theme will be “Intelligent Decision Services” created using different Digital Decisioning Tools that integrate business processes, business rules, decisions, advanced analytics, and events into modern enterprise architectures and directing them all to a common goal – better business decisions!

See DecisionCAMP-2021 Program and Schedule. Register for Free

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Detection of Elusive Polyps via a Large Scale ML System

Colorectal cancer is a leading cause of death. Colonoscopy is the criterion standard for detection and removal of precancerous lesions and has been shown to reduce mortality. The polyp miss rate during colonoscopies is 22% to 28%. DEEP DEtection of Elusive Polyps (DEEP2) is a new polyp detection system based on deep learning, which alerts the operator in real-time to the presence and location of polyps. The primary outcome was the performance of DEEP2 on the detection of elusive polyps. Link More

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