NNAISENSE was formed in 2014 in order to build large-scale neural network solutions for industrial process inspection, modeling, and control. The Company is an outgrowth of the internationally renowned Swiss AI institute, IDSIA, which, since the early 90s, has been at the forefront of the key scientific breakthroughs in artificial neural networks, deep learning, reinforcement learning, artificial evolution, and general purpose AI. Over the last five years, we have successfully partnered with major players in diverse industries, including steel and glass production, robotics, additive manufacturing, autonomous vehicles, and renewable energy, to deliver custom solutions that add real value through cutting-edge research and real-world know-how.

Leadership

Faustino Gomez
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Faustino Gomez
Co-founder, CEO

American by birth, Gallego at heart, Faustino’s career in AI started with a fascination for how the principles of natural selection could be harnessed to train neural networks for autonomous control tasks. Prior to co-founding NNAISENSE he was a senior researcher at IDSIA, where he studied how this neuroevolution approach could be brought to bear on the real world. Now a recovering scientist based in Austin, he builds intelligence-free guitars in his spare time.

Jürgen Schmidhuber
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Jürgen Schmidhuber
Co-founder, Chief Scientist

Jürgen’s main goal since he was 15 has been to build an AI smarter than himself, then retire. On the way there, as scientific director at IDSIA, he and his research group have been at the forefront of modern machine learning since the early 90s, including the first deep networks to win international competitions in pattern recognition which have revolutionized handwriting recognition, speech recognition, machine translation, and image captioning. He is the recipient of numerous awards, and advises governments on AI and how it’s about making lives longer, healthier, easier, and happier.

Jonathan Masci
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Jonathan Masci
Co-founder, Director of Deep Learning

Jonathan leads our deep learning team’s quest for the simplest and most general model to rule them all. He is a pioneer in geometric deep learning which extends neural networks beyond computer vision and speech recognition to structured problems in biology, chemistry, and physics. Left handed and pragmatic, in his spare time he is also Italian, works to travel, and suspects no AI will ever be able to explain why pineapple on pizza is even a thing.

Lugano
Piazza Molino Nuovo 17
6900, Switzerland
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