83 citations · 86 across the 5 of their papers we have counts for
5 papers
AI-Guided Codesign Framework for Novel Material and Device Design applied to MTJ-based True Random Number Generators
Karan P. Patel, Andrew Maicke, Jared Arzate +6
Novel devices and novel computing paradigms are key for energy efficient, performant future computing systems. However, designing devices for new applications is often time consumi…
Towards Reverse-Engineering the Brain: Brain-Derived Neuromorphic Computing Approach with Photonic, Electronic, and Ionic Dynamicity in 3D integrated circuits
S. J. Ben Yoo, Luis El-Srouji, Suman Datta +11
The human brain has immense learning capabilities at extreme energy efficiencies and scale that no artificial system has been able to match. For decades, reverse engineering the br…
Domain Wall-Magnetic Tunnel Junction Analog Content Addressable Memory Using Current and Projected Data
Harrison Jin, Hanqing Zhu, Keren Zhu +8
With the rise in in-memory computing architectures to reduce the compute-memory bottleneck, a new bottleneck is present between analog and digital conversion. Analog content-addres…
Roadmap for Unconventional Computing with Nanotechnology
Giovanni Finocchio, Jean Anne C. Incorvia, Joseph S. Friedman +48
In the "Beyond Moore's Law" era, with increasing edge intelligence, domain-specific computing embracing unconventional approaches will become increasingly prevalent. At the same ti…
Fuse and Mix: MACAM-Enabled Analog Activation for Energy-Efficient Neural Acceleration
Hanqing Zhu, Keren Zhu, Jiaqi Gu +4
Analog computing has been recognized as a promising low-power alternative to digital counterparts for neural network acceleration. However, conventional analog computing is mainly…