This is a rough draft for my first remix.  Let me know if you think I should go heavy?  Or keep it liquid?  Please comment =]

Somewhere I Belong DUB Remix (draft 1)

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Clappers (Dotcom Remix)

Funkn Deep Records is featuring a great display of talent in the Black Swan EP by Spartaque. Grooving vox, deep synths, and perfectly balanced beats and bass make this one of our top releases this summer. Also includes top notch remixes from Spektre and M. Fukuda, putting their own unique spin on Spartaques signature flavor.

Buy it at: http://bit.ly/FNDSG33

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Spartaque - Black Swan (Spektre Remix) [Funk'n Deep Records]

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TRAP ► Julius Dreisig - In My Head

Straim
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OPN ADE 2018 Sampler

Blackout

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Straim - Blackout

I released my debut single Shit your rack october 2008 and thought i'd do a 10 year anniversary VIP as free download. Its a part of the aUtOdiDakT Remixed EP which is out now via @Maehtrasher including great reworks by @Izzyvadim @Jaydunhambe @Mndwn!
Cop at Beatport here: https://bit.ly/2z4jSK2

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Shit Your Rack (2018 VIP)

Y O U . G E T . M E . C L O S E R . T O . G O D .CLOSER (LUCILLE CROFT x HOTCALER RE-WORK) [EXTENDED DJ EDIT INCLUDED IN D/L PACKAGE]
[ http://bit.ly/Closer-freedownload2 ]

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CLOSER [LUCILLE CROFT x HOTCALLER RE-WORK] - NINE INCH NAILS

How can artificial intelligence, and specifically machine learning, be used to combat climate change? In an ambitious recent report, machine learning researchers provided a detailed overview of the ways that their work can be applied to both climate mitigation and adaptation efforts. The massive collaboration, titled “Tackling Climate Change with Machine Learning,” involved 22 authors from 16 of the world's top AI institutions.  On Not Cool episodes 16 and 17, Ariel speaks directly to some of these researchers about their specific contributions, as well as the paper's significance more widely. Today, she’s joined by lead author David Rolnick; Priya Donti, author of the electricity systems chapter; Lynn Kaack, author of the transportation chapter and co-author of the buildings and cities chapter; and Kelly Kochanski, author of the climate prediction chapter. David, Priya, Lynn, and Kelly discuss the origins of the paper, the solutions it proposes, the importance of this kind of interdisciplinary work, and more.

Topics discussed include:

-Translating data to action
-Electricity systems
-Transportation
-Buildings and cities
-Climate prediction
-Adaptation
-Demand response
-Climate informatics
-Accelerated science
-Climate finance
-Responses to paper
-Next steps
-Challenges

Not Cool Ep 16: Tackling Climate Change with Machine Learning, part 1

It’s time to get creative in the fight against climate change, and machine learning can help us do that. Not Cool episode 17 continues our discussion of “Tackling Climate Change with Machine Learning,” a nearly 100 page report co-authored by 22 researchers from some of the world’s top AI institutes. Today, Ariel talks to Natasha Jaques and Tegan Maharaj, the respective authors of the report’s “Tools for Individuals” and “Tools for Society” chapters. Natasha and Tegan explain how machine learning can help individuals lower their carbon footprints and aid politicians in implementing better climate policies. They also discuss uncertainty in climate predictions, the relative price of green technology, and responsible machine learning development and use.

Topics discussed include:

-Reinforcement learning
-Individual carbon footprints
-Privacy concerns
-Residential electricity use
-Asymmetrical uncertainty
-Natural language processing and sentiment analysis
-Multi-objective optimization and multi-criteria decision making
-Hedonic pricing
-Public goods problems
-Evolutionary game theory
-Carbon offsets
-Nuclear energy
-Interdisciplinary collaboration
-Descriptive vs. prescriptive uses of ML

Somewhere I Belong DUB Remix (draft 1)

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