ieeexplore.ieee.org/document/111... In a short commentary on resistive memories, we highlight that their intrinsic variability can be exploited for Bayesian compute-in-memory for low-energy, uncertainty-aware inference, and that hybrid synapses and 3D integration drive scalable edge learning
• ● ⬤ The 2nd chapter of my PhD is out! 🕷️🍃
Using a combination of computational fluid dynamics, behavior and intracellular recordings in crickets, we compared the perception of the aerodynamical and visual cues produced by approaching predators !
Deeply grateful for the opportunity to contribute to this study on the sensory ecology of this fascinating moth during a research internship! Thanks to my supervisors and congratulations to the team, glad to see it published.
