inclab

About inclab

This author has not yet filled in any details.
So far inclab has created 50 blog entries.
23 Dec, 2022

Article on Random Bitstream Generation using Voltage-Controlled Magnetic Anisotropy and Spin Orbit Torque Magnetic Tunnel Junctions

2024-03-11T02:12:38+00:00December 23rd, 2022|

Sharing our work: "Random Bitstream Generation using Voltage-Controlled Magnetic Anisotropy and Spin Orbit Torque Magnetic Tunnel Junctions," just published in JxCDC. Led by graduate student Sam Liu and postdoctoral researcher Jaesuk Kwon (Ph.D), we used physics-based modeling to study and [...]

1 Nov, 2022

Professor Incorvia Speaks at PUZZLE X 2022 in Barcelona!

2024-03-17T20:39:22+00:00November 1st, 2022|

PUZZLE X™ is the leading global forum for Frontier & Deep Tech for the Future. It brings together leading figures in industry, science, capital and goverment to discuss how the bleeding-edge technologies in the “Matterverse” can shape the next chapter for [...]

22 Oct, 2022

Spectrum News Article on UT Researchers

2024-03-17T22:11:18+00:00October 22nd, 2022|

So far, the standard computer doesn’t have any thoughts, and algorithms do everything. Texas ECE researchers including Dmitry Kireev, Jean Anne Incorvia, and Deji Akinwande are hoping to change that. Click here to read the article!

17 Oct, 2022

Article on Bayesian Neural Networks Using Magnetic Tunnel Junction-Based Probabilistic In-Memory Computing

2024-03-17T20:47:19+00:00October 17th, 2022|

Check out our latest work, led by Sandia National Laboratories, Christopher H. Bennett and Sam Liu in the INC Lab. We show in simulation that combining a tunable stochastic magnetic tunnel junction with the domain wall-magnetic tunnel junction device creates a very efficient bit cell [...]

29 Sep, 2022

Article on Adaptive Cognition Implemented with a Context-Aware and Flexible Neuron for Next-Generation Artificial Intelligence

2024-03-16T23:03:12+00:00September 29th, 2022|

Our article designing small arrays of magnetic skyrmions as brain-inspired artificial neurons is officially published and edited! This was the brainchild of Priyamvada Jadaun with hard work from Can Cui and Sam Liu, and supported by the National Science Foundation (NSF). Click here to read the [...]

11 Sep, 2022

Paper on Shape-Dependent Multi-Weight Magnetic Artificial Synapses for Neuromorphic Computing

2024-03-16T23:13:26+00:00September 11th, 2022|

PAPER ALERT: Researchers from @utexasece are re-imagining computers to think like the human brain and they’ve made a new device discovery. They used magnetic materials to engineer nano-devices that behave like synapses in the brain, which connect neurons to each [...]

Go to Top