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Swiss energy services company uses machine learning to see the future

CIO Business Intelligence

But because electricity consumption was easy to gauge, there was no urgency for measuring current and low voltage power flows. That changed in 2017 when Swiss voters approved an energy act that would reduce the country’s dependency on fossil fuels by 2050. Without real-time power measurements, estimated power values were being used.

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National Grid’s energy transformation is fueled by IT

CIO Business Intelligence

That’s what some people asked of Adriana “Andi” Karaboutis, the former CIO of Dell who left the computer giant and was named National Grid’s global chief information and digital officer in 2017. All of that together is how we’re measuring the value of going to the cloud.”. Optimizing with machine learning. Her answer?

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Climate change predictions: Anticipating and adapting to a warming world

IBM Big Data Hub

These proactive measures are made possible by evolving technologies designed to help people adapt to the effects of climate change today. 5 The Global Disaster Preparedness Center recommends policymakers and others adopt a range of measures to help their regions adapt to higher heat. Global Change Research Program, 2017.

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Taichi: A Brand New Programming Language, “Frozen” in 99 Lines of Code

FineReport

Differentiable programming in Taichi can effectively optimize the neural network controller through brute force gradient descent without using reinforcement learning. Moreover, the neural network controller generally only needs tens of iterations to complete the optimization. times faster than PyTorch. Links: Yuanming.Hu Zhihu: [link].

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Rising Tide Rents and Robber Baron Rents

O'Reilly on Data

Instead of continuing to deploy their attention optimization algorithms for their users’ and suppliers’ benefit, the tech giants began to use them to favor themselves. The most-clicked sponsored products were 17% more expensive and 33% lower ranked according to Amazon’s own quality, price, and popularity optimizing algorithms.

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How CIOs reinterpret their role through AI

CIO Business Intelligence

These aren’t just the basic backup and disaster recovery protocols that already exist, but tools that measure every process and service on business-critical systems to verify they’re performing as expected. Large vendors tend to overlook the fact that standard solutions aren’t always optimal for a specific industry.

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Towards optimal experimentation in online systems

The Unofficial Google Data Science Blog

the weight given to Likes in our video recommendation algorithm) while $Y$ is a vector of outcome measures such as different metrics of user experience (e.g., Taking measurements at parameter settings further from control parameter settings leads to a lower variance estimate of the slope of the line relating the metric to the parameter.