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Brain Inspired Electronics

The topic we are addressing in this special issue of Applied Physics Reviews is brain inspired electronics. With the emergence of artificial intelligence and machine learning, the need for a suitable electronic platform complementary to silicon CMOS has become imminent.

Guest Editor: T. Venkatesan, Sandip Tiwari, and R. Stanley Williams

EDITORIALS

Brain inspired electronics

T. Venkatesan; Stan Williams

https://doi.org/10.1063/5.0078798

ARTICLES

Photonic tensor cores for machine learning

Mario Miscuglio; Volker J. Sorger

https://doi.org/10.1063/5.0001942

REVIEWS

Analog architectures for neural network acceleration based on non-volatile memory

T. Patrick Xiao; Christopher H. Bennett; Ben Feinberg; Sapan Agarwal; Matthew J. Marinella

https://doi.org/10.1063/1.5143815

REVIEWS

Pathways to efficient neuromorphic computing with non-volatile memory technologies

I. Chakraborty; A. Jaiswal; A. K. Saha; S. K. Gupta; K. Roy

https://doi.org/10.1063/1.5113536

REVIEWS

An organic approach to low energy memory and brain inspired electronics

Sreetosh Goswami; Sreebrata Goswami; T. Venkatesan

https://doi.org/10.1063/1.5124155

REVIEWS

A comprehensive review on emerging artificial neuromorphic devices

Jiadi Zhu; Teng Zhang; Yuchao Yang; Ru Huang

https://doi.org/10.1063/1.5118217

REVIEWS

Organismic materials for beyond von Neumann machines

Hai-Tian Zhang; Priyadarshini Panda; Jerome Lin; Yoav Kalcheim; Kai Wang; John W. Freeland; Dillon D. Fong; Shashank Priya; Ivan K. Schuller; Subramanian K. R. S. Sankaranarayanan; Kaushik Roy; Shriram Ramanathan

https://doi.org/10.1063/1.5113574

REVIEWS