...

Robotics

Increasing efficiency in facility management through hyper-automation

Hyperautomation in facility management is an advanced approach to process optimisation through the integration of modern technologies. Artificial intelligence, Internet of Things (IoT) and automation technologies are combined to improve processes and increase efficiency. This method enables the automation of recurring tasks, real-time data collection and analysis, and data-driven decision-making. The main benefits of hyperautomation in facility management include Increased efficiency through automation of manual processes Improved use of data for informed decisions Cost reduction through optimised [...]

Increasing efficiency in facility management through hyper-automation Read more »

What are the challenges of maintaining buildings and systems?

The maintenance of buildings and facilities is an essential part of facility management. It comprises all technical, administrative and organisational measures to maintain or restore the functional condition of properties and technical facilities. The main tasks include preventive maintenance, inspection, repair and improvement. The importance of maintenance extends to various sectors such as industry, commerce and public facilities. It contributes significantly to value retention, operational safety and energy efficiency. Modern maintenance concepts take into account

What are the challenges of maintaining buildings and systems? Read more »

Reinforcement learning: the future of machine learning

Reinforcement learning is a method of machine learning in which an agent learns to fulfil a specific task by interacting with its environment. The agent receives rewards or punishments for its actions, enabling it to optimise its actions and achieve goals. This method is based on the principle of trial and error, in which the agent learns to make optimal decisions through experience. Reinforcement learning has become increasingly popular in recent years due to its wide range of possible applications and

Reinforcement learning: the future of machine learning Read more »

Deep Q-Networks: machine learning on steroids

Deep Q-Networks (DQN) are an advanced method of machine learning based on the combination of deep neural networks and Q-learning. They are designed to solve complex sequential decision problems where an agent acts in an environment and learns to perform optimal actions. DQNs use a deep neural network to approximate the Q-function, which represents the expected future utility of an action in a given state. Through iterative training

Deep Q-Networks: machine learning on steroids Read more »

What is DeepTech: a head start through scientific expertise

Are you curious about what makes deep tech companies different from traditional technology companies? Wondering what challenges they face, the benefits of investing in them and how they can overcome obstacles to achieve growth and global influence? This article explores the world of deep tech companies that use cutting-edge technology to solve complex problems, require significant capital investment and have high potential for growth and scale. Discover some examples,

What is DeepTech: a head start through scientific expertise Read more »

Dark Mode
de_DE
de_DE
Scroll to Top