
ARTIMATION’s workshop – Definition of the Roadmap
During these past months, the ARTIMATION Project has been developing the XAI algorithms to support the ATCOs’ tasks that, according to workshop for task T3.2 –
During these past months, the ARTIMATION Project has been developing the XAI algorithms to support the ATCOs’ tasks that, according to workshop for task T3.2 –
Featured outcome In Air Transportation Management domain, AI and ML algorithms have shown increasable interest. Different AI and ML algorithms are used to provide decision
On Tuesday the 6th of July, the ARTIMATION project held its first Workshop. The meeting lasted two-and-a-half hours and brought together different types of aviation stakeholders
On the 23rd of June ARTIMATION attended its first half-year Consortium meeting. The meeting took place on Zoom and involved all ARTIMATION Consortium: Mälarden University
ARTIMATION project aims at investigating AI methods in predicting air transportation traffic and optimizing traffic flows based on the domain of Explainable Artificial Intelligence (XAI),
Recently, Artificial intelligence (AI) algorithms have shown increasable interest in various application domains including in Air Transportation Management (ATM). Different AI in particular Machine Learning
Recently, Artificial intelligence (AI) algorithms have shown increasable interest in various application
ARTIMATION will end after December 2022, and it is now time to
If the Conflict Detection and Resolution use case was focused on an
As we approach the end of the research project, Artimation will participate
During the first year and a half of the project, we introduced
The ARTIMATION project aims to provide Explainability to Artificial Intelligence outcomes through
From June 21st to June 23rd, Madrid hosted the World ATM Congress.
RT @CORDIS_EU: ✈️ Flying back home❓ Facing delays❓ Find out how 15 #EUFunded projects help to modernise Europe´s air traffic and complemen…
Want to know more about #ARTIMATION? 👀👇🏼
👇🏼 Click here to download the document: https://t.co/GKojbgTHvx
RT @AEONProject1: Wondering what happened at the final event of the #AEON and @ArtimationAI projects? Well, we've a short recap for you! .…
RT @SESAR_JU: Artificial intelligence #AI holds great promise for enabling #Europe to manage its #complex #airspace ✈️🦾 Between 2020-2022,…
RT @EUROCAE1: ✈️ @ArtimationAI : Their focus is to provide a transparent AI model that will enhance automation in the ATM field. 💻@H2020_…
Thanks to @EUROCAE1 for partecipating to our joint event "RPAS and AI in aviation" in Rome, where six @SESAR_JU exploratory research projects were presented to the audience with their latest developments 💪🏼
RT @CORDIS_EU: Destination #DigitalSky? ✈️ Air traffic management (ATM) is an ideal candidate for #automation for more efficiency in its o…
ARTIMATION and @AEONProject1's final event is about to end! 👏 Thanks to @enacfrance for hosting the event, the attendees who joined us and the project coordinator, Mobyen Uddin Ahmed, from @malardalen_uni, who introduced ARTIMATION this morning. Follow us for upcoming news! https://t.co/HMd0IdEFLb
⚖️ He will show the pros and cons of three different kind of #ML models studied during the past two years and how they could be integrated in #ATCOs working ecosystem. #aviation #AI
This project has received founding from the SESAR Joint Undertaking grant agreement No. 699381 under European Union’s Horizon 2020 research and innovation programme
Project coordinator
Mälardalen University
Mobyen Uddin Ahmed
mobyen.ahmed@mdh.se
The opinions expressed herein reflect the author’s view only. Under no circumstances shall the SESAR Joint Undertaking be responsible for any use that may be made of the information contained herein.