Check out this highlight of our recent two papers on magnetic stochastic neurons and WSe2-based ambipolar transistor circuits! Click here to read the article!
Odinaka Okeke, University of Texas at Austin Ph.D. student in Electrical and Computer Engineering, gives a presentation on Hardware-based Neuromorphic Architectures beyond Crossbar Arrays. Her talk is part of student presentations for the Spring 2023 UT course Magnetic Materials and [...]
We have built ambipolar dual-gate WSe2 thin film transistors and measured them in cascaded logic gates, published in ACS Nano! The lead graduate student on the work is Xintong Li, who recently successfully defended his Ph.D., and it was done [...]
Our latest paper on magnetic devices for neuromorphic computing is now published in Applied Physics Letters! We show that the domain wall-magnetic tunnel junction device can act as a stochastic neuron, which is robust to recognizing noisy images compared to [...]
Professor Incorvia, Principal Investigator of INC Lab, works on this review on neuromorphic computing with domain walls and skyrmions, led by Xuan Hu and Joseph Friedman. Click here to read the article!
Spectrum News visits INC Lab at UT Austin to discuss our recent work on biocompatible graphene artificial synapses for neuromorphic computing.
Professor Incorvia collaborates with Patrick Xiao and Nicholas Zogbi on an article about using domain wall-magnetic tunnel junctions for parallel matrix multiplication. They solve a couple major challenges in using magnetic domain walls and magnetic tunnel junctions for computing by [...]
Professor Incorvia joins the "It's a Material World" Podcast on their 100th episode, Nanotechnology and the Brain: Neuromorphic Computing. This podcast is great for sharing with students and those interested to know more on the topic from a materials science [...]
Sam Liu, Ph.D. student in the INC Lab, presents his work on Hardware-Aware Bayesian Variational Inference at the Magnetism and Magnetic Materials 2022 Conference.
Dr. Mahshid Alamdar, a Ph.D. graduate from the INC Lab, presents his work on Multi-Weight Artificial Synapses with Straight Notched Geometry for Neuromorphic Computing at the Joint Magnetism and Magnetic Materials-Intermag 2022 Conference.
