BBC Russian

Artificial intelligence (AI) is much more than a research field: it is a ubiquitous future technology with the potential to redefine all areas of our society. At Airbus, we believe AI is a key competitive advantage that enables us to capitalise on the value of our data.

Shaping our business through artificial intelligence

Airbus focuses on six technical areas relating to AI that will shape our business over the next five years:

Knowledge extraction: Extracting value from unstructured documents,
Computer vision: Transforming images and video into objects and activities based on deep-learning detection and decision-making,
Anomaly detection: Finding hidden patterns in data,
Conversational assistance: Designing natural language-interaction systems,
Decision-making: Optimising solutions for very complex constrained problems,
Autonomous flight: Enabling the next generation of aerial vehicles with new capabilities.

AI across Airbus

An autonomous drone focuses on a highway, from the perspective of its on-board camera.

Autonomous flight

Computer vision and machine-learning technologies based on AI are critical to enabling self-piloted commercial aircraft to take off and land, and to navigate and detect ground obstacles autonomously.

CIMON

This AI-based robotic assistant for astronauts aboard the International Space Station is equipped with cameras, sensors and microphones to see, hear, process and display information, as well as speak and fly.

Earth observation

Imagery provided by advanced aerospace technologies – such as high-resolution satellites and drones within an AI environment – can generate customised analyses for applications relating to catastrophe response and damage assessment.

The portability and accessibility of VR-based digital mock-up systems help optimise procedures and reduce onboard physical verification activities

Factory of the Future

This DDMS project aims to standardise and streamline software AI tools used for enterprise resource planning to move from sequential to co-developmental production processes.

Future Combat Air System (FCAS)

This European defence programme aims to connect the next-generation fighter aircraft to other aerial vehicles through a system-of-systems approach that is enabled by advanced analytics and AI.

Skywise

Our open-based data platform leverages AI to analyse disparate data sources that offer powerful new insights benefitting the entire aviation industry.

An aerial view of a city, with lines representing connections between different buildings and systems.

Unmanned Traffic Management

When sharing our airspace, today’s unmanned aerial vehicles, such as drones, exchange vast amounts of mission-critical information – all of which AI can filter, classify and merge.

In this representative image, people cross a bridge while a CityAirbus all-electric multicopter flies in the distance.

Urban Air Mobility

Sense-and-avoid technology, built on AI, leverages mission-critical data to enable self-piloting future air mobility vehicles to predict and react to unforeseen scenarios.