Why Deep Learning is important for Enerbrain

By | IT
Today it is becoming increasingly difficult to escape the impact of technology on everyday life. The enormous progress that artificial intelligence has brought forward, from deep learning to reinforcement learning, is certainly one of the key factors in this impact.

At Enerbrain we believe that investing in deep learning is very important to improve the energy efficiency of buildings and, consequently, the comfort of our clients. For this reason, we have created a deep learning laboratory within our R & D group.

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Edit Torino–UX and mathematical algorithms to simplify the control of a complex building

By | User experience
In recent years, attention to the environment and to the reduction of energy consumption has inevitably exploded thanks to new technologies. Under the Christmas tree, it will no longer be surprising to find a smart thermostat or a remote controller for home lights. Similar IoT devices (Internet of Things) for the residential world have a significant impact on the reduction of consumption and pollution, and above all, they help to educate people to behave more responsibly and more carefully in their homes.

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About Design Systems and Design Workflows

By | User experience

I’ve been interested in the notion of design systems since the first release of Atomic Design by Brad Frost came out in 2013. Around the same time I switched to Sketch for all my UI works, and it immediately seemed clear to me that a more systemic approach was not only finally possible software-wise, but utterly necessary to keep coherence across an ever-expanding range of digital products and platforms.

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The EBlog launch

By | Visions

The blog launches at a very special moment, just a few weeks after Enerbrain’s third birthday and as we are preparing for to the European Innovation Summit in the European Parliament.

These past three years have been very hard, as a simple but ingenious intuition became a reality: give more intelligence to the buildings.

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