AI-Summer 2022: Hospital-green Apps Keep Level with Army-green

A new Market Study by Zion predicts the global AI market to seven-fold in 7 years, 2021-28. Military ICT and AI fill the headlines since February, ranging from apps such as StarLink or embedded/ avionics (see from 1:28 min. ) to Logistics and C5ISR (Command, control, communications, computers, cyberdefense, Intelligence, Surveillance, Reconnaissance). Yet AI in […]

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.”                                                                  Andreas Buckenhofer, Daimler TSS, in an interview by OODBMS on Big Data, July 2019 In my opinion, he’s spot on. My earlier post mentions why new AI […]

Edge AI: Architects, Keep Edging! Even after the Skiing Season

The current slalom between insecurity, logistics, and volatile energy/material/component supplies, is adding momentum to resource-efficient computing and green AI. Moreover, a recent video presentation by Amazon points out that up to 90% of the infrastructure costs for developing and running ML apps is inference. Train it sometimes, run it a lot of times In plain […]

Leveling Up Life Sciences: AI and In-Silico Research

My post in March focused on AI in vaccine R&D, for obvious reasons. Half a year later, it’s time for a wider perspective: Where do we go from here? How much of R&D experiments do bio-scientists expect to go from “in vivo” to other methods? Their hints indicate that new methods will accelerate, and in […]

Three Big AI News for IT-Architects, and UML or SysML Users

What I wrote about the ways AI affects architects, four years ago, fits into the architectural landscape of 2021 as well. That said, this summer I’m adding one of my “and vice versa-s”, to my quote from AI2 (The Allen Institute of AI, founded by Paul Allen of Microsoft) “Never mistake a clear view for […]

Global AI Index: All Four Nordics in Top 25

Scandinavia is recovering from the harsh AI Winter of the 1990’s. British Tortoise AI index ranks Finland a global #11 plus a “rising star,” as a result of Finland’s ongoing focus on skills development, driven by both government strategy and an excellent ecosystem of academia, AI-accelerators, private AI labs, tech startups, the Tampere AI Hub, […]

Learning for AI, and the other way too

A quote from neither Informator nor Tieturi, but from the Lancet medical journal, April 2021: “particularly deep learning, has changed our lives (…) deep learning systems capable of diagnosing skin cancer and fully autonomous AI approved for diabetic retinopathy screening (…) A key concern is how should clinicians be educated in these advances and what […]

Vaccine R&D: AI works miracles

Med research, biotech, care, as a driver of new AI? Indeed. Over the past few months, this effort has expanded from forecasting, outbreak science, and diagnostics, to treatment and vaccine. The leap in R&D lead time, quality, and cost — a sci-fi just a year ago — is fueled by AI permeating the labs and […]

7 Red flags, in Another Data-Misinterpretation Wave – Will AI Mitigate it?

Statistics climbed from an unpopular school subject to top of the agenda in 2020, and skilled data analysts are in short supply in the year of astoundingly-exponential curves. Although health–related AI and data analysis expand, many surprisingly well-informed academic graduates still get cheated by rush-job presentations of correct data compiled from reliable sources. This incomplete […]