7 Incredible Artificial Intelligences That Go Beyond ChatGPT

To the artificial intelligences are increasingly present in our lives and they are able to accomplish tasks that previously seemed impossible. although the ChatGPT, be it an AI known for its abilities in natural language processing, there are many other AI in diverse areas and applications.

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Here are seven impressive AI examples worth mentioning:

alphago

AlphaGo is an artificial intelligence program that plays the board game Go. In 2016, AlphaGo defeated world champion Lee Sedol in a highly publicized match.

This success demonstrated AI's ability to master complex and challenging games.

IBM Watson

IBM Watson is an AI system that can answer questions in natural language and is used in a variety of applications such as medical diagnostics, finance and supply chain management.

Watson also won the American TV show Jeopardy in 2011, showing the ability of an AI to correctly answer complex questions.

OpenAIs DALL-E

DALL-E is an AI system created by OpenAI that can generate images from text descriptions. For example, if a user describes a “pink elephant with wings”, DALL-E can generate a corresponding image.

This demonstrates how impressive the ability of AI to generate content creatively and visually.

XLNet

This AI is capable of creating a natural language model based on neural networks designed to overcome some limitations of BERT and GPT-2, including the ability to handle ambiguity and understand references pronominals.

BERT

Developed by Google, BERT is also based on neural networks and is capable of processing texts in natural language, providing accurate and contextual answers.

Tesla Autopilot

Autopilot is a driver assistance system in Tesla cars. It uses sensors and cameras to detect obstacles on the road and steer the car autonomously.

While there are still limitations to self-driving technology, Autopilot shows the promise of AI in the auto industry.

DeepMinds AlphaFold

AlphaFold is an AI system, created by technology company DeepMind, that can predict the structure of proteins with high accuracy. This is a great achievement, as the determination of protein structure is a long-standing and very difficult scientific problem.

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