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How Leo and Gertrude Stein Revolutionized the Art World

If Picasso and Matisse were rivals from almost the first moment each knew of the other’s existence, the contest was driven as much by those cheering from the sidelines as by their own considerable egos. It was Montmartre versus the Latin Quarter, the bande à Picasso versusthe Fauves, the dark voodoo of the Spaniard versus the Apollonian grace of the Frenchman. For the most part the competition was respectful, but it could occasionally devolve into childish stunts.

How Einstein Lost His Bearings, and with Them, General Relativity

How Amazon Became Corporate America’s Nightmare

It sells soap and produces televised soap operas. It sells complex computing horsepower to the U.S. government and will dispatch a courier to deliver cold medicine on Christmas Eve. It’s the third-most-valuable company on Earth, with smaller annual profits than Southwest Airlines Co., which as of this writing ranks 426th.

Sequence Tagging with Tensorflow

I remember the first time I heard about the magic of Deep Learning for Natural Language Processing (NLP). I was just starting a project with a young French startup Riminder and it was the first time I heard about word embeddings. There are moments in life when the confrontation with a new theory seems to make everything else irrelevant.

Deep Neural Network implemented in pure SQL over BigQuery

In this post, we’ll implement a deep neural network with one hidden layer (and ReLu and softmax activation functions) purely in SQL. The end-to-end steps for neural network training including the forward pass and back-propagation will be implemented as a single SQL query on BigQuery. As it runs on Bigquery, in effect we are performing distributed neural network training on 100s to 1000s of servers.

Using Google Cloud AutoML to Classify Poisonous Australian Spiders

Google’s new Cloud AutoML Vision is a new machine learning service from Google Cloud that aims to make state of the art machine learning techniques accessible to non-machine learning experts. In this post I will show you how I was able, in just a few hours, to create a custom image classifier that is able to distinguish between different types of poisonous Australian spiders. I didn’t have any data when I started and it only required a very basic understanding of machine learning related concepts.

Autism’s social deficits in animal model are reversed by an anti-cancer drug

How Cheese, Wheat and Alcohol Shaped Human Evolution

As our evolution continues, the crucial role of diet hasn’t gone away. Genetic studies show that humans are still evolving, with evidence of natural selection pressures on genes impacting everything from Alzheimer’s disease to skin color to menstruation age. And what we eat today will influence the direction we will take tomorrow.

Digitising books as objects: The invisible made visible

Technology has improved immensely since then and a lot of ‘ink’ has been spread across physical and virtual pages about the remit, the limitations and the advantages of what is offered to the public through the surrogates uploaded onto countless web portals. This piece is just another little drop into this ocean of ink to share some considerations built upon experience and from the perspective of a book conservator who sees, because of his professional background, the limitations of this, but also the exciting challenges to overcome them.

The Nexus Linking IBM, California Wine, and Climate Modeling

By 2015, Hamann says, the technology—which uses machine learning to extract insights from multiple layers of information—proved itself. Gallo improved yields on the test site while reducing water use. The partnership quickly found another use for IBM’s AI: analyzing a number of variablessuch as proximity to the winery, weather patterns, elevation, days of sunshine, and other factors toidentify suitable locations for new vineyards.