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?

More than just autonomous driving: 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.

Optimize Chatbots Using the Crowd

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.

A Snapshot of AI, Machine Learning, and Deep 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.

Image annotation and artificial intelligence

Everyone has heard something about artificial intelligence. However, the term image annotation is less common. Image annotation describes the classification of information that is of relevance to an image. Recognizing the content of images is an important factor for many automatized processes. In order for machines to capture the meaning and individual components of images, artificial intelligence is required, in which a human-like analysis of images is simulated. To achieve this, countless training data in terms of human input are required.

Artificial Intelligence – Algorithms on the Rise

Well-known innovations concerning computers and the internet have captured the market, define everyday life and delight users. With artificial intelligence ambitious researchers want to add a new dimension to technical development. Crowdsourcing helps computer systems with self-regulated machine learning.

Watson is an intelligent, semantic computer program, which as a complicated question answering system, can process natural speech. To the question from Todd Spaletto, president of a well-known manufacturer of mountaineering gear, about what the most practical clothing for mountain hiking in rainy pre-summer weather would be, the computer answers: “There is just a three percent chance that it will rain,” and recommends that the outdoor specialist wear a “breathable fleece jacket” of a durable make.

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