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DeepMind and Google: the battle to control artificial intelligence | 1843 April.May 2019
So far, Google has not interfered much with DeepMind. But one recent event has raised concerns over how long the company can sustain its independence.
Google  DeepMind  AI  TheEconomist 
6 days ago by pierredv
Machine learning can boost the value of wind energy • DeepMind
Carl Elkin, Sims Witherspoon and Will Fadrhonc, from DeepMind and Google:
<p>over the past decade, wind farms have become an important source of carbon-free electricity as the cost of turbines has plummeted and adoption has surged. However, the variable nature of wind itself makes it an unpredictable energy source—less useful than one that can reliably deliver power at a set time.

In search of a solution to this problem, last year DeepMind and Google started applying machine learning algorithms to 700 megawatts of wind power capacity in the central United States. These wind farms—part of Google’s global fleet of renewable energy projects—collectively generate as much electricity as is needed by a medium-sized city.

<img src="https://storage.googleapis.com/deepmind-live-cms/documents/final-version.gif" width="100%" />

Using a neural network trained on widely available weather forecasts and historical turbine data, we configured the DeepMind system to predict wind power output 36 hours ahead of actual generation. Based on these predictions, our model recommends how to make optimal hourly delivery commitments to the power grid a full day in advance. This is important, because energy sources that can be scheduled (i.e. can deliver a set amount of electricity at a set time) are often more valuable to the grid.

Although we continue to refine our algorithm, our use of machine learning across our wind farms has produced positive results. To date, machine learning has boosted the value of our wind energy by roughly 20%, compared to the baseline scenario of no time-based commitments to the grid.</p>
google  deepmind  wind 
22 days ago by charlesarthur
Machine learning can boost the value of wind energy | DeepMind
Since last year, a joint DeepMind/Google project to apply machine learning to 700 MW of wind power in the central US has so far boosted the value of wind energy by ~20%. A neural net trained on weather forecasts & historical turbine data predicts wind power output 36 hours ahead of actual generation. Based on these, our model recommends optimal hourly delivery commitments to the power grid 24 hours in advance. These wind farms—part of Google’s global fleet of renewable energy project...
landasplatform  wind  windenergy  deepmind  AI  google  renewables 
22 days ago by thejaymo
Making New Drugs With a Dose of Artificial Intelligence
The contest, the Critical Assessment of Structure Prediction, was not won by academics. It was won by DeepMind, the artificial intelligence lab owned by Google’s parent company.

“I was surprised and deflated,” said Dr. AlQuraishi, a researcher at Harvard Medical School. “They were way out in front of everyone else.”
neural-network  DeepMind  drug-development  healthcare 
5 weeks ago by PieroRivizzigno
WaveNet: A Generative Model for Raw Audio | DeepMind
This post presents WaveNet, a deep generative model of raw audio waveforms. We show that WaveNets are able to generate speech which mimics any human voice and which sounds more natural than the best existing Text-to-Speech systems, reducing the gap with human performance by over 50%.

We also demonstrate that the same network can be used to synthesize other audio signals such as music, and present some striking samples of automatically generated piano pieces.
audio  deeplearning  deepmind  machinelearning  text-to-speech  artificial-intelligence 
6 weeks ago by javierruiz

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