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Event

Autonomous Reply at the Air.con Regensburg

09 October 2024
TechBase Regensburg

The AI conference Air.con takes place on 9 October at TechBase Regensburg. In four parallel forums, everything will revolve around the current status of artificial intelligence in the fields of automotive & industry, construction, start-ups and art & culture. You can look forward to exciting panel discussions with Regensburg AI experts on topics from business and science.

Meet our experts on site and find out how Autonomus Reply can support you in the fields of industry, automotive and new mobility - from sensors to infrastructure.

In the lecture AI conquers the sky - challenges and solutions using AI in drones’on 9 October, Peter Schiekofer, Partner Autonomous Reply, Partner Autonomous Reply, will present use cases for the use of AI in drones.

SPEECH

09 October 2024, 1:30 pm
AI conquers the sky - challenges and solutions using AI in drones
In the modern world, Artificial Intelligence (AI) has taken on a significant role in the advancement of drone technologies. This talk will highlight the challenges and solutions associated with the use of AI in drones and present two specific use cases: the use of AI to monitor and maintain solar farms and AI in logistics to deliver goods quickly and efficiently even in hard-to-reach areas.
Speaker: Peter Schiekofer

You can find more information about Air.con in Regensburg here.

Autonomous Reply
Within the Reply Group, Autonomous Reply is the specialised company for the software and system integration of autonomous things. The experts advise companies in the industrial, automotive and new mobility sectors from the sensor to the infrastructure. The portfolio includes holistic solutions across the entire value chain – from strategy definition and advice on application possibilities to design and implementation. The offer includes edge computing, embedded software, cloud services and integration into different eco-systems. State-of-the-art technologies and methods from the fields of deep learning, machine learning and computer vision are used.