ETH Zurich, Department of Information Technology and Electrical Engineering

Power outages remind us how fragile our systems are. Glacier collapses and landslides, like those in Blatten and Brienz, show us just how real the climate crisis is. But what if these very challenges are what drive us forward? Join us this autumn at Treffpunkt Science City 2025 to explore how crises can fuel innovation, action, and progress in Switzerland’s energy transition. Can technology, politics, and society work together to create a safer, fairer, and more resilient energy future? Leading researchers, experts and scientists from ETH Zürich and beyond explore these questions with you, through bold talks, interactive hands-on demos, and workshops. Free & open to all. Curious minds of all ages welcome! 📅 Experience Sundays: 🔹 October 26: When everything goes quiet | Blackout: worst-case scenario or wake-up call? 🔹 November 9: When nature shows its power | From Blatten to Brienz: How is Switzerland responding? 🔹 November 16: When we work together | The future of energy: Who is helping to shape it? Let’s turn today’s uncertainty into tomorrow’s energy solutions. Please note, the event will be in German. Find out more: https://lnkd.in/dNYDbHhs Energy Science Center, ETH Zurich Meet ETH #engery #energytransition #FutureOfEnergy #BlackOuts

🧠 Neuromorphic is dead. Long live neuromorphic. Congratulations to Prof. Giacomo Indiveri (Institute of Neuroinformatics, University of Zurich and ETH Zurich) on his new article in Neuron (Cell Press), calling for a “neuromorphic renaissance” — a return to brain-inspired, energy-efficient computing. As AI systems grow larger and more power-hungry, Indiveri argues that the future lies in hardware that computes like the brain — using physics, time, and analog dynamics to achieve intelligence with minimal energy. This isn’t just a technical vision. It’s a societal one: developing AI that’s sustainable, trustworthy, and biologically grounded — not only powerful, but meaningful. 🔗 Read the article in Neuron/Elsevier: https://lnkd.in/eVg6RPS3 #UZHai University of Zurich #ResponsibleAI #SustainableAI #NeuromorphicComputing #UZH #AIresearch Figure: Neuromorphic engineering origins (A) Carver Mead and Misha Mahowald observing a neuromorphic sensor at work in the Caltech lab in the early 1990s (picture taken by Rodney Douglas, who granted permission for its use). (B) Layout of an analog silicon neuron circuit. Red regions represent polysilicon, yellow ones represent transistor gates, and blue and gray ones represent metal interconnects. (C) Oscilloscope trace of an adaptive silicon neuron circuit in response to a step input current.

We are super excited to start a new 4-year collaborative project funded by Swiss National Science Foundation SNSF MOSIAC: Multimodal Optogenetic Subcellular Neural Interfacing Array on CMOS with Multi-Color Micro-OLEDs. https://lnkd.in/eAiGdtPX The project is led by the PI Prof. Hua Wang (ETH D-ITET) and two co-PIs Prof. Chih-Jen Shih (ETH D-CHAB) and Prof. Martin Müller (UZH, Department of Molecular Life Sciences). The MOSIAC project will address several key challenges in neuronal stimulation and recording technologies by achieving the world’s first co-integration of micro-LED array and multi-modal MEA array on the same CMOS chip. It will enable cell-type-specific optogenetics and real-time multi-modal neural sensing, localization and feedback, all at an unprecedented spatio-temporal resolution to capture single neuron activities far beyond the state-of-the-art neuron interface technologies. The MOSIAC project will use the bioelectronics/nano-devices research infrastructure of ETH Zurich, neurobiology research facilities at UZH, and the ETH FIRST cleanroom as well as the IBM Zurich BRNC cleanroom. We envision that the MOSIAC project will pave the way for new medical advancements, clinical treatments, and drug development. On the societal impact, the MOSIAC project will foster bioelectronics and neuroscience collaborations in Swiss academia and worldwide. It will further enhance Switzerland’s core competence on semiconductors, neuroscience, medicine, and healthcare.