Artificial Intelligence is changing our life

Self-learning systems represent the next step of digitalisation. They independently solve tasks given by humans and react to their environment. The relationship of man and machine is thus changing fundamentally – and has to be designed according to human needs.

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Self-learning systems have become part of everyday life: Robots, assistance and software systems are already tackling complex problems and adapting to a wide variety of situations. Self-learning systems are based on methods in Artificial Intelligence such as machine learning. These methods signal a paradigm shift in that programmers are no longer coding every work step of a system but rather learning methods. They are teaching machines to learn from input information. Self-learning systems use this information to recognize the structure of an environment, to continuously expand their knowledge based on experience, and are able to execute tasks in a complex environment.

Topics

Technologies and Data Science

Artificial Intelligence and Data Science form the basis for self-learning systems and are essential for their design from the data collection and analysis stage through to the development of key technologies.

Human-Machine Interaction

Machines and digital devices have become a part of our private and work lives. Their benefit for people must be a paramount consideration in their design.

Work and Skilling

Self-learning systems bring about fundamental changes to the world of work: Artificial Intelligence will be supporting humans in all spheres of life.

T Security

Self-learning systems have the potential to make numerous processes more efficient and more comfortable and secure for humans, for example in road traffic or work life.

Law and Ethics

As with nearly all technical innovations, self-learning systems raise new issues which must be discussed in public and put into a legal framework.

Business Models

Artificial Intelligence and self-learning systems process data into knowledge, enabling burgeoning volumes of data to be utilized for the development of goods and services.

Mobility

Application

Self-learning systems will form part of the mobility of tomorrow. Transport systems on land, water and in the air will become increasingly automated.

Medicine and Care

Application

Smart data holds the promise of great progress in medical research, diagnostics and preventative medicine. Acceptance and security are essential prerequisites.

Learning Robotic Systems

Application

Whether as a cleaning robot or as a portable application in rehabilitation: Learning robotic systems can relieve humans in a variety of ways.