Machine learning
3 x ML in Public Health and Care
Health, pharma, and care expose Machine Learning to yet another stress test in practice, which adds another vital quality attribute to architects’ QA-list (along with explainability, security, safety, accuracy, etc.) – privacy-friendly ML. Three current examples from the health realm 1. Most public authorities worldwide are using outdated analytics tools …
Intelligible Intelligence: Deep XAI still more R&D than toolbox
Most architectural tradeoffs are hard. So is the one between the accuracy of Deep Machine Learning (ML) and explainability/transparency of explainable AI (XAI). Therefore, DARPA’s initial XAI program is expected to run through 2021.
Twin examples of multiple trees: 1. UML models, 2. Machine Learning
“Today, professionals get trained in using tools… there’s a lack of education of fundamentals like modeling, architecture, methods, or concepts… Getting value out of data needs professionalization based on education and practical experience.”
6 Things AI and Machine Learning Reshape in SW
In my recent post, I mentioned that AI and ML challenge architecture, but also offer tools to tackle the challenges. Needless to say, automation of repetitive tasks will change our job descriptions, just like those of our end users.
On Smart Configurators, for IT Architects
Manufacturing is the key player in applied intelligent configuration, but software businesses are catching up too. Factoring out dependencies between components (or classes, services etc.) to separate configuration issues from application logic, is a well-tried SW-variability principle likely to evolve further in the era of machine learning (ML).
Konsument-IT som liknar företags-IT
Christer Norströms presentation under SICS Open House 2018 handlade om hans intelligenta träningstjänst Racefox. Den stödjer individanpassad uthållighetsträning för löpare och längdåkare. Arkitekturen och kraven på Intelligenta träningsassistenter ligger ungefär halvvägs mellan ”vanlig” konsument-IT (gadgets) och företags-IT (mission critical).Expertanvändare i gränslandet
Animators, Auditability, AI: high-tech history and a near future
When the audience doesn’t get your message, why not “send the text to Hollywood”… An idea almost as old as engineering itself. Even in the past, movie components boosted transparency and accelerated the mass adoption of new technologies, or logic, that had seemed too black-box before.
Leveled up: Auditability of AI and Machine Learning
Architects and many others remember the tightrope walk between flexibility/performance and testability/predictability/V&V in systems with many run-time parameters, or parallelism, or late binding time ranging from polymorphism to SOA-UDDI and ad-hoc computing. Now, it’s leveled up by ML (machine learning).