Does this timeframe match the creation timeframe of the data associated with the instances (e.g., recent crawl of old news articles)? . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . LCCS comprises of 23 classes and 14 sub-classes. The dataset, along with its machine-readable metadata, is hosted on CERN-backed Zenodo data repository: https://zenodo.org/record/6810792 Its long-term maintenance is discussed in the Datasheet. This includes reproducible code for the Benchmarks of Section 4 of [Cornebise et al., 2022a], following the ML Reproducibility Checklist [Pineau et al., 2021a,b]. The project also has its own website available at https://worldstrat.github.io/, The authors hereby state that they bear all responsibility in case of violation of rights, etc., and confirm that the data license is as follows: The low-resolution imagery, labels, metadata, and pretrained models are released under Creative Commons with Attribution 4.0 International (CC BY 4.0) The mean of the cloud coverage over the Sentinel 2 product areas is 7.98 %, with a standard deviation of 14.22. The quantiles are: 0.025: 0.00% 0.25: 0.00% 0.5: 0.66% 0.75: 10.05% 0.975: 49.95% It is important to note that this cloud cover percentage, as mentioned in the article and datasheet, is calculated on the entire product size of the provider, which varies in size but is much larger than the 2.5km we target. This means that even an image with a large cloud cover percentage can be cloud free, and in extreme cases (though unlikely), vice-versa. Also there are indeed considerable difference across sampled regions and land cover types. A simple example would be rainforests and non-desert equatorial regions. Using a strict no-cloud policy would make sampling enough low-resolution images either impossible or would make the temporal difference extremely large (up to 7 years for some AOIs). With that in mind, we strived to keep the cloud coverage as low as possible, ideally under 5%, while maintaining the temporal difference as small as possible.

Airbus is testing an autopilot system that it claims can land a plane and taxi to the terminal autonomously in case of an emergency. If aircraft are capable of this, then will we all soon be flying without a human pilot on board? The first autopilot was created in 1912, but was extremely limited.

Chapter 3: Displaying the Market Dynamics- Drivers, Trends and Challenges & Opportunities of the Artificial Intelligence in Aviation Chapter 4: Presenting the Artificial Intelligence in Aviation Market Factor Analysis, Porters Five Forces, Supply/Value Chain, PESTEL analysis, Market Entropy, Patent/Trademark Analysis.

Airbus, the world's largest airplane manufacturer, is expanding its usage of robotic solutions at its Rochefort, France logistics facility. Airbus expects to be manufacturing a staggering 1,000 aircraft a year by 2025, which would significantly increase its requirements for parts picking in its warehouses. Airbus' partners at the Rochefort warehouse are Blondel Group and Scallog. Specifically, logistics company Blondel manages the warehouse and has installed Scallog robotic systems to accelerate operations. Blondel Group plans to deploy the Scallog solution on the Rochefort site, which will include two preparation stations, six "Boby" robots and 160 shelves, in order to "gain in speed and competitiveness" in its picking of parts, while limiting the arduousness, in particular the work in staggered hours.

Were you unable to attend Transform 2022? Check out all of the summit sessions in our on-demand library now! As airline passengers slog through a summer of rampant flight delays and cancellations, airlines are grappling with a massive post-pandemic increase in air travel demand and a long-term pilot shortage – while also prioritizing safety. Aerospace leader Airbus is betting autonomous and AI-driven commercial flight functions can bridge that gap. Wayfinder, a research project within Acubed, the Silicon Valley innovation center of Airbus, is developing autonomous flight and machine learning solutions for the next generation of aircraft. Its core mission is to build a "scalable, certifiable autonomy system capable of powering a range of self-piloted aircraft applications in single pilot operations."

A 20% savings in fuel efficiency for a two-day retrofit is nothing to sneeze at, and that explains why the leading cargo shipper Kawasaki Kisen Kaisha, Ltd. is adding more wind power punch to its existing roster of cargo ships. The company has just ordered another three Seawing sails from the company Airseas on top of a previous order. Better yet, from a carbon-cutting perspective, "K" Line also expects to leverage artificial intelligence to squeeze even more clean power from centuries-old seagoing technology. If the name Airseas rings a bell, that's probably because of the connection to the well known aircraft maker Airbus. Airseas sailed across the CleanTechnica radar last fall, when we noted that it was founded by former engineers at Airbus (for the record, it is also funded and supported by Airbus, the EU, and other partners).

Airbus and the CISPA Helmholtz Center for Information Security have signed a Memorandum of Understanding (MoU) at ILA Berlin 2022 to open a center of excellence for cybersecurity and trustworthy artificial intelligence in Saarland, Germany. The «CISPA-Airbus Digital Innovation Hub» will be located at the CISPA Innovation Campus in St. Ingbert and will start operations this year with the intention to grow to around 100 experts within the next three years. In the long term, Airbus and the CISPA are jointly aiming to grow the competence center to more than 500 experts. "Joining efforts with a renowned German research institution like CISPA is a key step in our strategy to continue strengthening our top-notch cybersecurity capabilities and expertise. At Airbus we are firmly committed to continue investing in the technologies and resources of the present and the future, which will enable us to be at the forefront of tomorrow's challenges, ever more digital. To achieve this ambition we are carefully selecting the right partners, and the creation of this competence center is a great example of our long-term vision and investment in innovation", said Evert Dudok, Executive Vice President Connected Intelligence at Airbus Defence and Space.

Airbus and the CISPA Helmholtz Center for Information Security have signed a Memorandum of Understanding (MoU) at ILA Berlin 2022 to open a center of excellence for cybersecurity and trustworthy artificial intelligence in Saarland, Germany. The "CISPA-Airbus Digital Innovation Hub" will be located at the CISPA Innovation Campus in St. Ingbert and will start operations this year with the intention to grow to around 100 experts within the next three years. In the long term, Airbus and the CISPA are jointly aiming to grow the competence center to more than 500 experts. "Joining efforts with a renowned German research institution like CISPA is a key step in our strategy to continue strengthening our top-notch cybersecurity capabilities and expertise. At Airbus we are firmly committed to continue investing in the technologies and resources of the present and the future, which will enable us to be at the forefront of tomorrow's challenges, ever more digital. To achieve this ambition we are carefully selecting the right partners, and the creation of this competence center is a great example of our long-term vision and investment in innovation", said Evert Dudok, Executive Vice President Connected Intelligence at Airbus Defence and Space.

High-resolution imagery services from the Pléiades and SPOT 6/7 satellites will provide 50cm and 1.5m geospatial imagery into the AGMRI platform as an additional input, so that farmers and ag retailers can make data-driven decisions and proactively manage their operations with confidence. "We are very pleased to be providing high-resolution imagery from Pléiades and SPOT 6/7 satellites, whose complementarity makes them the ideal assets for enriched crop management. They deliver fresh information along with historical insights to help drive decisions in the field. Our data along with powerful machine learning and computer vision from Intelinair will help improve crop yields," said François Lombard, Director of the Intelligence business at Airbus Defense and Space. With satellite and other aerial imagery sources, farmers receive a new perspective of the agronomic conditions in the form of emergence, plant health, weed detection and harvest readiness in their fields throughout the growing season. From this perspective, product performance and crop damage issues become visible so timely management decisions can be made to protect yields and optimize financial returns.