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Mori3: A Polygon Shapeshifting Robot for Space Travel

“Jamie Paik and her team of researchers at EPFL’s School of Engineering have created an origami-like robot that can change shape, move around and interact with objects and people. By combining inspiration from the digital world of polygon meshing …

EPFL discovery brings us closer to next-generation electronics

“EPFL engineers have found a way to control the interactions between excitons – quasiparticles that may one day transport data and replace the electrons in electronic devices. The engineers’ method involves applying an electric field to a two-dimensional (2D) semiconducting material …

Magnon-based computation could signal computing paradigm shift

“Thanks to a breakthrough in the field of magnonics, EPFL researchers have sent and stored data using charge-free magnetic waves, rather than traditional electron flows. The discovery could solve the dilemma of energy-hungry computing technology in the age of big …

EPFL introduces minor in imaging to meet growing demand from research

“New imaging methods are being developed and adopted at a rapid pace in both research and industry. To equip EPFL graduates with the skills they’ll need, the School’s Center for Imaging is introducing a minor specifically in this …

Robotic system offers hidden window into collective bee behavior

“EPFL researchers have developed a temperature-modulating robotic system that can be seamlessly integrated into notoriously sensitive honeybee hives, providing both a never-before-seen view of honeybee behavior and a means to influence it. Honeybees are famously finicky when it comes to …

Electronic metadevices break barriers to ultra-fast communications

“Until now, the ability to make electronic devices faster has come down to a simple principle: scaling down transistors and other components. But this approach is reaching its limit, as the benefits of shrinking are counterbalanced by detrimental effects like …

A neuro-chip to manage brain disorders

“EPFL researchers have combined low-power chip design, machine learning algorithms, and soft implantable electrodes to produce a neural interface that can identify and suppress symptoms of various neurological disorders. Mahsa Shoaran of the Integrated Neurotechnologies Laboratory in the School of …

Integrated photonic circuits could help close the ‘terahertz gap’

“EPFL researchers have collaborated with those at Harvard and ETH Zurich on a new thin-film circuit that, when connected to a laser beam, produces finely tailorable terahertz-frequency waves. The device opens up a world of potential applications in optics and …

Using machine learning to forecast amine emissions

“Scientists at EPFL and Heriot-Watt University have developed a machine learning approach to accurately predict potentially harmful amine emissions from carbon-capturing plants. Global warming is partly due to the vast amount of carbon dioxide that we release, mostly from power …

Improving the operational stability of perovskite solar cells

“Scientists at EPFL have found a way to improve the operational stability of perovskite solar cells, a crucial step towards their commercialization. Hybrid perovskites are materials made from metal halide frameworks interspersed with organic cations. They have attracted a lot …