“Fruit flies are a major source of inspiration in robotics”
Researchers at EPFL’s Neuroengineering Laboratory, led by Pavan Ramdya, aim to replicate the workings of the brain of the common fruit fly, Drosophila melanogaster. We spoke with Ramdya about the exciting prospects for robotics.
“Technology alone won’t be able to solve major societal challenges”
Daniel Gatica-Perez, named the best teacher in the digital humanities section for 2024, believes it’s important to stress the human factor in how technology is adopted and used. His research looks at social computing and human-centered artificial intelligence (AI) – both of which are fast-moving fields.
New research sheds light on how diffusion models—used in artificial intelligence (AI) image generation—operate across hierarchical data structures, revealing unexpected transitions between high-level and low-level features during the generative process.
A new cryptography framework for secure genomic studies
Developed from EPFL research, in collaboration with MIT and Yale, the combination of secure computation and distributed algorithms opens a new era for data collaborations in medical research.
Morphing robot turns challenging terrain to its advantage
A bioinspired robot developed at EPFL can change shape to alter its own physical properties in response to its environment, resulting in a robust and efficient autonomous vehicle as well as a fresh approach to robotic locomotion.
Quantum computing could be one of the big technological revolutions of the coming decades. At EPFL, scientists are at the forefront of harnessing quantum technologies to address real-world issues, aligning their efforts with the UN Sustainable Development Goals.
A geometric deep learning method for decoding brain dynamics
EPFL scientists have developed a geometric deep learning method that can create a coherent picture of neuronal population activity during cognitive and motor tasks across experimental subjects and conditions.
