“It’s been more than 50 years since HAL, the malevolent computer in the movie 2001: A Space Odyssey, first terrified audiences by turning against the astronauts he was supposed to protect. That cinematic moment captures what many of us still fear in AI: that it may gain superhuman powers and subjugate us. But instead of worrying about futuristic sci-fi nightmares, we should instead wake up to an equally alarming scenario that is unfolding before our eyes…” Read more
Date: Wed, February 23, 2022 at 12:00pm EST
Title: “Applying DMN to Model and Execute Legislations”
Presenter: Vincent van Dijk from Pharosius.nl. Recording
Abstract: In this session Vincent van Dijk will share his experience applying DMN for building the Digital System for Environment and Planning Act in the Netherlands described here. Please register for free. Issues to be discussed:
A group of researchers (many of whom are associated with Declarative AI and indirectly with DecisionCAMP) just published the manifesto “Augmented Business Process Management Systems“: “While traditional BPMSs encode pre-defined flows and rules, an ABPMS augmented by AI is able to reason about the current state of the process (or across several processes) to determine a course of action that improves the performance of the process.” This manifesto outlines the lifecycle of processes within an ABPMS, discusses core characteristics of an ABPMS, and derives a set of challenges to realize systems with these characteristics. Link
Today’s post in Google AI Blog “Controlling Neural Networks with Rule Representations” introduces a novel approach that does not require machine learning models retraining to adapt the rule strength. In real-world domains where incorporating rules is critical – such as physics and healthcare – they demonstrate the effectiveness of Controllable Rule Representations in teaching rules for deep learning. Link
Denis Gagne, a member of DMN Task Force and the founder of Trisotech, presented the latest news in the DMN standard during the DecisionCAMP monthly session on Jan 25. Watch the recording at https://youtu.be/3a4-fbhfnTU
On Dec-2021 Melanie Mitchell published “What Does It Mean for AI to Understand“: “Remember IBM’s Watson, the AI Jeopardy! champion? A 2010 promotion proclaimed, “Watson understands natural language with all its ambiguity and complexity.” However, as we saw when Watson subsequently failed spectacularly in its quest to “revolutionize medicine with artificial intelligence,” a veneer of linguistic facility is not the same as actually comprehending human language.” Link
Continue readingForrester Research will run a free webinar on Jan 26 at 2 pm ET and they promise to explain:
Date: Wed, January 26, 2022 at 12:00pm EST
Title: “DMN 1.4 and Beyond”
Presenter: Denis Gagne, Trisotech.
Abstract: In this session Denis will present a summary of the work done by the DMN 1.4 Revision Task Force (RTF) and open discussion on what should come next for the Decision Model and Notation standard.
Please register for free here.
If you are interested in software engineering from a meta trends perspective, here are the most popular programming languages by GitHub repository activity:
You may find more interesting trends in this new Medium’s article “Most in Demand Programming Software Development Languages for 2022“
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