Next Nature

NEW: Next Nature Academy

Hello next nature explorers! Are you looking for exciting opportunities to learn more about the Next Nature methodology? The Next Nature Academy offers the philosophy, the tools and the methods that will shift the way you think about nature and technology. We do this through inspiring lectures and interactive workshops, both open-call and in-house, for people and organizations.

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intimate technology
Intimate Technology

Intimate Technology S01E07: Our Selves

In the modern world, our identities are intimately tied to our technologies. We think of selfhood as residing in our everyday stream of consciousness. But could we possibly have a second digital self in our online behaviors? In their film Our Selves – An Imaginary Dialogue Between Brainwaves and Smartphones, Gianmaria Vernetti and Elisa Troglia reflect on the relationship between these two selves.

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Microbial Factories

ECO Coin Award Interviews: Sandra Rey

The world is changing and it’s important that we evolve with it. The ECO Coin Award is our way of recognizing innovations and initiatives which help us adapt to our next nature. The nominees are all aiming to create a more humane and sustainable future for us all. Now, in the lead-up to the announcement of this year’s winner, we’re interviewing each of the three finalists to learn about their values, insights and visions for the future. This week, we spoke to Sandra Rey, founder of Glowee, nominated in recognition of her work to harness bioluminescence as a new light source.

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Office Garden

HUBOT: Meet the Singing Package Deliverer

You did not make it to the Idols final, but you can sing very well and you love to make people happy. As a singing package deliverer, you deliver packages with a personal song. Serenade? Birthday song? The sender can select an additional gift service at a modest price in the web shop. You give a personal twist to each order and no delivery drone can top that!

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Wild Systems

How to Fool a Neural Network

Computers are smart and, thanks to artificial neural networks, they are getting smarter. These networks, modelled after real neurological systems, allow computers to complete complex tasks such as image recognition. Until now, they have been impressively tough to fool. But one group of researchers claims to have found a way to reliably trick these networks into getting it wrong.

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