Author

Abhronil Sengupta

2 papers indexed here

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#artificial intelligence Apr 2026

NeuroAI and Beyond: Bridging Between Advances in Neuroscience and ArtificialIntelligence

It is argued that NeuroAI, neuroscience-informed artificial intelligence, has the potential to overcome limitations of current AI while deepening the authors' understanding of biological neural computation, and requires a new generation of researchers trained across the boundary between neuroscience and engineering.

A. Zador, J. Fellous, Terrence J. Sejnowski et al. · arXiv.org · 3 citations

Aug 2026

Leveraging Intrinsic Physics of Spintronic Devices for Neuromorphic Computing

Neuromorphic computing has made significant strides over the past few years by mapping functional primitives of neurons and synapses to nanoelectronic devices, yet most implementations do not tap into the temporal non-linear dynamics of the devices. We argue that spintronic devices, specifically magnetic tunnel junctio...

Md Zesun Ahmed Mia, Abhronil Sengupta · Midwest Symposium on Circuit... · 0 citations