27 citations · 32 across the 6 of their papers we have counts for
6 papers
Cryogenic in-memory computing using magnetic topological insulators
Yuting Liu, Albert Lee, Kun Qian +17
Machine learning algorithms have been proven effective for essential quantum computation tasks such as quantum error correction and quantum control. Efficient hardware implementati…
A Multi-domain Magneto Tunnel Junction for Racetrack Nanowire Strips
Prayash Dutta, Albert Lee, Kang L. Wang +2
Domain-wall memory (DWM) has SRAM class access performance, low energy, high endurance, high density, and CMOS compatibility. Recently, shift reliability and processing-using-memor…
Max and Coincidence Neurons in Neural Networks
Albert Lee, Kang L. Wang
Network design has been a central topic in machine learning. Large amounts of effort have been devoted towards creating efficient architectures through manual exploration as well a…
A Thermodynamic Core using Voltage-Controlled Spin-Orbit-Torque Magnetic Tunnel Junctions
Albert Lee, Bingqian Dai, Di Wu +3
We present a magnetic implementation of a thermodynamic computing fabric. Magnetic devices within computing cores harness thermodynamics through its voltage-controlled thermal stab…
Conditional Activation for Diverse Neurons in Heterogeneous Networks
Albert Lee, Bonnie Lam, Wenyuan Li +4
In this paper, we propose a new scheme for modelling the diverse behavior of neurons. We introduce the conditional activation, in which a neurons activation function is dynamically…
A neuronal dynamics study on a neuromorphic chip
Wenyuan Li, Igor V. Ovchinnikov, Honglin Chen +7
Neuronal firing activities have attracted a lot of attention since a large population of spatiotemporal patterns in the brain is the basis for adaptive behavior and can also reveal…