Monat: Januar 2019

Deep Learning in the Wild

Climate change and human exploitation of our planet has a significant influence on the habitat and existence of wild animals. The resulting biodiversity loss threatens ecosystems and the human development that depends on them. Protecting these habitats is based on delivering evidence by collecting data. This is usually labour intensive, since it depends on field work done by biologist and volunteers.

This master thesis tries to make a contribution to scale up this important process by using acoustic detection of animals using deep learning on embedded systems.

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Women in engineering – Keynote Jane Royston – 4th March

We are excited to have our board member Prof. Jane Royston as an excellent female role model for women in engineering. In a keynote, she will inspire us with her extraordinary career as a pioneer in entrepreneurship,  innovation and information technology.
Early in her career, Prof. Jane Royston became head of IT for DuPont France in Paris and soon after founded the software engineering company NatSoft. After selling her company, Jane Royston got appointed as the first professor of entrepreneurship and innovation in Switzerland with the prestigious Branco Weiss chair at the EPFL.
Jane Royston was subsequently asked by major universities in Switzerland, including the ETHZ and the University of St. Gallen, to implement and teach innovative entrepreneurship. She is a board member of SCS.

Kindly RSVP by February 25th 2019 via e-mail to: info@scs.ch

We are looking forward to a vibrant evening with enriching discussions on Monday March 4th, 5-7pm!

Tech-Event zum gezogenen Diagnosefahrzeug

Diese Woche durften wir erfolgreich den ersten Tech-Event dieses Jahres durchführen. Joel Casutt, Florentin Marty und Patrick Wernli führten unsere rund 200 Gäste in die Vision des gezogenen Diagnosefahrzeug ein, wie das Zentrale System funktioniert, Daten sammelt, verarbeitet, aufbereitet und visualisiert, wie auch welche Sensoren verwendet werden und welche ersten Erkenntnisse bereits aus den Daten gezogen werden konnten.

Cracking the Code with a Quantum Computer

Quantum computers might revolutionize the world of technology. Classical computers use bits to store information in binary states. Quantum computers use qubits that can exist in entangled multiple states at once. This feature allows quantum computers to be exceedingly more efficient than current computers. With today’s computers, all encryption schemes – incl. cryptocurrencies like Bitcoin – are impossible to break in reasonable time. However, quantum computers may be able to quickly break current encryption schemes in the upcoming future.

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