No images? Click here NEWSEngineers bring efficient optical neural networks into focus EPFL researchers have published a programmable framework that overcomes a key computational bottleneck of optics-based artificial intelligence systems. In a series of image classification experiments, they used scattered light from a low-power laser to perform accurate, scalable computations using a fraction of the energy of electronicsMaking a difference with the MAKE Assistive Technologies Challenge Thanks to the dedication of EPFL students, all motivated by the potential make a difference in someone’s life, six MAKE prototypes were built last semester with the aim of assisting the mentally or physically challenged. “I am involved in quite some educational activities, but for me the MAKE Assistive Technologies Challenge is always the highlight of the year,” says EPFL professor Auke Ijspeert who co-supervises ATC.Flying like a beetle In a new study, EPFL scientists found that rhinoceros beetles use passive mechanisms to deploy and retract wings instead of muscles. The findings inspired them to develop a new microrobot, demonstrating a simple, yet effective, approach to the design of insect-like flying micromachines.A multilayer cantilever for nanoscale sensing An innovative layered concept for nanoscale sensing devices, developed by an EPFL postdoc, promises to bring greater speed, sensitivity, and functionality to applications ranging from semiconductor manufacturing to medical diagnostics.
IN THE MEDIA EPFL tackles power bottleneck of optics-based AI Le meilleur sprinter suisse est aussi un génie mécanique VIDEO “There is a bit of materials science in everything” EPFL PhD student Stella Laperrousaz’s crowd-pleasing comparison of her research on electronic fibers to one of Switzerland’s most famous exports won her the audience prize at the My Thesis in 180 Seconds Competition Switzerland 2024. |