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Foundations of Computer Vision

Hacker News

Fortunately, the deep learning revolution in 2012 made the foundations of the field more solid, providing tools to build working implementations of many of the original ideas that were introduced in the field since it began. Pitman, 2012. [2] Szeliski, Computer vision algorithms and applications., Forsyth, J. Springer, 2022. [3]

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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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Training AI to Detect Disease: Stand Up To Cancer’s Julian Adams

Flipboard

Past Issues Webinars & Podcasts Upcoming Events Video Archive Podcasts Me, Myself, and AI Search Store Sign In Subscribe — 22% off Me, Myself, and AI Episode 1107 Training AI to Detect Disease: Stand Up To Cancer’s Julian Adams June 11, 2025 / The nonprofit uses artificial intelligence to aid in cancer detection.

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Can society adjust at the speed of artificial intelligence?

Flipboard

Some of his early published work on the question, from 2011 and 2012, raises questions about what shape those models will take, and how hard it would be to make developing them go well — all of which will only look more important with a decade of hindsight.

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Amazon Bedrock Guardrails announces IAM Policy-based enforcement to deliver safe AI interactions

AWS Machine Learning Blog

Guardrails currently supports six types of policies: Content filters Configurable thresholds across six harmful categories: hate, insults, sexual, violence, misconduct, and prompt injections Denied topics Definition of specific topics to be avoided in the context of an application Sensitive information filters Detection and removal of personally (..)

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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

These models rely on learning algorithms that are developed and maintained by data scientists. 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.