Skip to Main Content

Colloquium: Dr. Bilge Yildiz Nuclear Sci. & Engineering MIT

Off Campus: via WEBEX

Wednesday, May 12, 2021
3:30 PM – 4:30 PM

Energy-Efficient Hardware and Intelligent Materials for Brain-inspired Computing: Artificial Synapses Based on Proton and Oxygen Motion


Deep learning is a hugely successful and powerful algorithm for machine learning applications such as computer vision and natural language processing. However, the training of these neural networks is limited by the traditional von Neumann architecture of our current CPUs and GPUs. Shuttling data back and forth between the separate memory and computation units in such architecture results in significant energy consumption; many orders of magnitude greater than the energy consumption in human brain. Our projects focus on designing materials and hardware that can instead perform data storage and computation in a single architecture using ions, inspired by the human brain. In this talk, I will describe our protonic electrochemical synapse that changes conductivity deterministically by current-controlled shuffling of dopant protons across the active device layer; resulting in energy consumption on par with biological synapses in the brain. I will also share how we can control conducting oxygen vacancy filament formation in resistive memory devices via dopant and microstructure engineering. These strategies provide pathways towards neuromorphic hardware that has high yield and consistency, performs data storage and computation in a single device, and uses significantly lesser energy as compared to current computing architectures.


Meeting Information
Click Meeting Link to directly join the webex video

Meeting link: 
120 945 7958

More ways to join
Tap to join from a mobile device (attendees only)   
+1-202-860-2110,,1209457958## United States Toll (Washington D.C.)  

Join by phone   
+1-202-860-2110 United States Toll (Washington D.C.)   
Global call-in numbers  

Join from a video system or application
You can also dial and enter your meeting number.