Training data for AI: There is more to it than quantity

19.03.2019

Training data for AI

Artificial intelligence is being used in an increasing number of areas of application. Machines require large amounts of data to perform similarly to human beings. Quantity is what counts. That makes sense, in particular when addressing challenging problems and complex issues. However, the quality of the data is also significant – especially for training data that is used in machine learning. With this information the algorithms can develop themselves and machines learn how to learn.

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Artificial intelligence in the economy

12.03.2019

Artificial intelligence in the economy

We come into contact with artificial intelligence everywhere. In many cases we are not aware of the fact that certain services are products of self-learning software. Artificial intelligence (AI) is one of the most important driving forces for technical, scientific and economical development in the 21st century. The economy in particular is focusing on AI. How can companies utilize artificial intelligence today and in the future?

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More than just autonomous driving: AI in the automobile industry

12.02.2019

AI in the automobile industry

The vehicle of the future as a fully autonomous “computer on wheels” with no pedals or steering wheel is still a long way off. Artificial intelligence plays a decisive role in autonomous driving. For the car industry, artificial intelligence already lends itself to many other areas – for instance in logistics and production, as well as customer loyalty.

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Optimize Chatbots Using the Crowd

10.10.2018

Chatbots

The term chatbot is probably familiar only to a few people, but it is likely that everyone has come into contact with one at some point. For example when you ask your smartphone a question via voice input, or when you contact a service provider’s customer support. Virtual assistants like Alexa, Google Assistant or Cortana are based on chatbots – programs that enable simple and intelligent communication between people and computer-based systems.

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A Snapshot of AI, Machine Learning, and Deep Learning

03.07.2018

Machine Learning

Real-world examples, prominent use cases, and AI’s (artificial intelligence) potential

The industrialized world is full of machines that outdo humans in strength and speed. Cranes lift steel beams to towering heights, car engines send passengers flying down the road at impossible speeds, and tree shredders pulverize entire pine trunks in a snap. Such inventions replicate and vastly outperform humans at tasks requiring physical exertion. They possess “artificial brawn”.

What then is artificial intelligence?

At a first pass, we can think of AI as a machine (i.e., a computer) replicating human cognitive tasks. A calculator, for example, embodies basic AI to do a job for which humans must use their brains: math.

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