Dinge sehen und erkennen

Bildver­arbeitung

As formidably as the human eye collaborates with our brain and our muscles, today's AI tools can do a great job in processing visual information, particularly when it comes to recognizing certain patterns and spotting small differences that we have a hard time to even notice. The biggest advantages are that computers can't get tired and don't have problems working in environments where humans are unsafe or uncomfortable.

Below, we explain a few key applications of artificial intelligence in the processing of visual data, for example the use of optical character recognition (OCR) together with natural language processing (NLP), the tracking of movements, or the recognition of patterns to determine crowd sizes or identify certain items.

SpracheCommon Crawl Share
(CC-MAIN-2026-12)
Sprecher
weltweit
Share of World
Weltbevölkerung in %
Verhältnis
(Web vs. Sprecher)
Englisch41.06 %~1.53 billion~18.7 %2.2x
Deutsch5.98 %~135 million~1.6 %3.7x
Chinesisch4.99 %~1.18 billion~14.4 %0.35x
Spanisch4.66 %~560 million~6.8 %0.7x
Französisch4.61 %~310 million~3.8 %1.2x
Italienisch2.38 %~90 million~1.1 %2.2x
Hindi0.22 %~610 million~7.4 %0.03x

Wie es funktioniert

A few paragraphs, maybe a few images or two, with:

  • Hardware
  • Comparison
  • Logic (ML/AI)
  • 1-2 examples
  • Limits and problems

Wenn Sie mehr über die Geschichte von Künstlicher Intelligenz und unsere eher philosophische Sicht darauf erfahren möchten, geht es unten weiter. Andernfalls erfahren Sie hier, wie wir Sie bei KI-Themen unterstützen können.

Wenn Sie mehr über die Geschichte von Künstlicher Intelligenz und unsere eher philosophische Sicht darauf erfahren möchten, geht es unten weiter. Andernfalls erfahren Sie hier, wie wir Sie bei KI-Themen unterstützen können.

Mit Eliza reden

This is a faithful representation of the 1966 Eliza version created by Joseph Weizenbaum. It was reproduced by Anthony Hay in C++ based on the original 1965 code and ubpdated by behavior transcripts of the final version.

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Note: The paper version emulates Joseph Weizenbaum's original 1966 ELIZA as it ran on the CTSS time-sharing system (IBM 7094) at MIT, accessed via an IBM Selectric-based hardcopy terminal. On CTSS the question mark served as the line-delete (line-kill) control character, so it could not appear in typed input — and the DOCTOR script accordingly produced no question marks. They are therefore suppressed here, on both sides of the conversation. The green "terminal" version enables question marks instead; it represents a glowing CRT display of a kind that did not exist for ELIZA in 1966 and evokes a later era of computing.

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Play Chess like 1997 (Deep Blue Style)

Here's our simulation of Deep Blue. You can play against Stockfish (able to run on a laptop today with similar strength compared to Deep Blue). Bonus:: you can replay the legendary 1997 rematch where Deep Blue won against Garry Kasparov.

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