Remove 2012 Remove Artificial Intelligence Remove Natural Language Processing
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How artificial intelligence went from science fiction to science itself?

Dataconomy

The timeline of artificial intelligence takes us on a captivating journey through the evolution of this extraordinary field. It all began in the mid-20th century, when visionary pioneers delved into the concept of creating machines that could simulate human intelligence.

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The History of Artificial Intelligence (AI)

Pickl AI

Summary: The history of Artificial Intelligence spans from ancient philosophical ideas to modern technological advancements. This journey reflects the evolving understanding of intelligence and the transformative impact AI has on various industries and society as a whole.

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Understanding the different types and kinds of Artificial Intelligence

IBM Journey to AI blog

However, AI capabilities have been evolving steadily since the breakthrough development of artificial neural networks in 2012, which allow machines to engage in reinforcement learning and simulate how the human brain processes information. Human intervention was required to expand Siri’s knowledge base and functionality.

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From Rulesets to Transformers: A Journey Through the Evolution of SOTA in NLP

Mlearning.ai

Charting the evolution of SOTA (State-of-the-art) techniques in NLP (Natural Language Processing) over the years, highlighting the key algorithms, influential figures, and groundbreaking papers that have shaped the field. Evolution of NLP Models To understand the full impact of the above evolutionary process.

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Behind the glory: the dark sides of AI models that big tech will not tell you.

Towards AI

AI and Climate change Mining for AI: Natural Resource Extraction To understand what AI is made from, we need to leave Silicon Valley and go to the place where the stuff for the AI industry is made. The cloud, which consists of vast machines, is arguably the backbone of the AI industry. By comparison, Moore’s Law had a 2-year doubling period.

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Exploring the leading AI medical scribes

Dataconomy

These systems, powered by artificial intelligence, are designed to assist healthcare providers in documenting patient encounters, retrieving information, and performing other administrative tasks that traditionally consumed valuable time and resources. How is artificial intelligence in surgery and healthcare changing our lives?

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Use LangChain with PySpark to process documents at massive scale with Amazon SageMaker Studio and Amazon EMR Serverless

AWS Machine Learning Blog

From deriving insights to powering generative artificial intelligence (AI) -driven applications, the ability to efficiently process and analyze large datasets is a vital capability. Harnessing the power of big data has become increasingly critical for businesses looking to gain a competitive edge.

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