From c17c8dd25a74be975979a7dec2ce45735e72288a Mon Sep 17 00:00:00 2001 From: Catharine Martell Date: Sun, 9 Feb 2025 00:44:12 +0000 Subject: [PATCH] Add 'What Is Artificial Intelligence & Machine Learning?' --- ...ficial-Intelligence-%26-Machine-Learning%3F.md | 15 +++++++++++++++ 1 file changed, 15 insertions(+) create mode 100644 What-Is-Artificial-Intelligence-%26-Machine-Learning%3F.md diff --git a/What-Is-Artificial-Intelligence-%26-Machine-Learning%3F.md b/What-Is-Artificial-Intelligence-%26-Machine-Learning%3F.md new file mode 100644 index 0000000..6a33d45 --- /dev/null +++ b/What-Is-Artificial-Intelligence-%26-Machine-Learning%3F.md @@ -0,0 +1,15 @@ +
"The advance of technology is based on making it fit in so that you don't really even observe it, so it's part of daily life." - Bill Gates
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Artificial intelligence is a brand-new frontier in innovation, marking a significant point in the history of AI. It makes computer systems smarter than before. [AI](https://www.depaolarevisore.it) lets machines think like humans, doing intricate jobs well through advanced machine learning algorithms that define machine intelligence.
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At its heart, AI is a mix of human creativity and computer system power. It opens up new ways to solve problems and innovate in lots of areas.
+The Evolution and Definition of AI +
Artificial intelligence has actually come a long way, showing us the power of innovation. It began with easy ideas about machines and how wise they could be. Now, AI is much more innovative, changing how we see technology's possibilities, with recent advances in AI pushing the limits even more.
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AI is a mix of computer science, math, brain science, and psychology. The idea of artificial neural networks grew in the 1950s. Researchers wanted to see if makers could learn like human beings do.
+History Of Ai +
The Dartmouth Conference in 1956 was a big moment for [AI](https://ninaalonso.com). It was there that the term "artificial intelligence" was first utilized. In the 1970s, machine learning began to let computers gain from information on their own.
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Now, AI utilizes intricate algorithms to handle big amounts of data. Neural networks can spot complicated patterns. This assists with things like acknowledging images, understanding language, and making decisions.
+Contemporary Computing Landscape +
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