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Anomaly Detection on Google Stock Data 2014-2022

Analytics Vidhya

In this project, we’ll dive into the historical data of Google’s stock from 2014-2022 and use cutting-edge anomaly detection techniques to uncover hidden patterns and gain insights into the stock market.

Analytics 304
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Major retailers use AI to slash number of clothing returns when shopping online

Flipboard

Since 2014, MySizeID has developed an algorithm that learns the habits and measurements of the consumer, saving retailers between 30 to 50% on the returns of … One company is making a splash in the retail space by using artificial intelligence to cut the number of online shopping-related item returns.

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No distributed quantum advantage for approximate graph coloring

Hacker News

We give an almost complete characterization of the hardness of $c$-coloring $χ$-chromatic graphs with distributed algorithms, for a wide range of models of distributed computing. 2) We prove that any distributed algorithm for this problem requires $Ω(n^{frac{1}α})$ rounds.

Algorithm 133
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Top 11 Most-asked Interview Questions on GAN Architecture

Analytics Vidhya

It was first proposed in 2014 by Goodfellow as an alternative training methodology to the generative model [1]. Introduction Generative adversarial networks (GANs) are an innovative class of deep generative models that have been developed continuously over the past several years. Since their […].

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George Hotz: There is no hard takeoff

Hacker News

Back in 2014, Elon Musk referred to AI as summoning the demon. By the end of 2017, the same algorithm mastered Chess and Shogi. And it wasn’t hard to see that view. Soon, Go agents would beat top humans learning from self play. By 2020, it didn’t even need tons of calls to the simulator, and could play Atari too.

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Introduction of Neural Style Transfer – A Pioneer in Generative AI

Towards AI

However, generative models is not a new term and it has come a long way since Generative Adversarial Network (GAN) was published in 2014 [1]. It is one of the first algorithms to combine images based on deep learning. Neural Style Transfer (NST) was born in 2015 [2], slightly later than GAN.

AI 110
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Getting Started with AI

Towards AI

In ML, there are a variety of algorithms that can help solve problems. In graduate school, a course in AI will usually have a quick review of the core ML concepts (covered in a previous course) and then cover searching algorithms, game theory, Bayesian Networks, Markov Decision Processes (MDP), reinforcement learning, and more.