Updated: Dec 19, 2019
Let's ring in the weekend with our latest #WeekliiiRoundUp. Explore it now!
When it comes to programming for Artificial Intelligence (AI) and Machine Learning, we need to be aware of teaching wrong or even biased information. This is especially true for spatial data and reasoning. Learn more in this week's #DailyBrainCandiii post.
Just like human learning, things can go wrong [in Artificial Intelligence]. Machines can learn wrong or, more accurately, biased information - creating sometimes large problems and poor conclusions.
We have got a first look just for you. Did you miss our latest email newsletter? Don't sweat it. It is now online - complete with a full tour of our new website! View the June 2019 Newsletter now.
How much do you know about the supermajors within the Oil and Gas industry and their histories? Let's take a look at Saudi Aramco and how the company has evolved within the Natural Resources industry since its start in 1933.
Our team is here to help your business in whatever you need - whether it's answering questions about the Integrated Geodetics Toolkit for seismic data, showing off Integrated Marco Desktop workflows, or developing custom software. Contact us now to learn more.
#DailyBrainCandiii and #WeekliiiRoundUp are inspired by brain candiii, a division of Integrated Informatics that develops Geographic Information System (GIS) training for Energy and Natural Resources professionals.