Titash Rakshit

Hierarchical Memory System With STT-MRAM and SRAM to Support Transfer and Real-Time Reinforcement Learning in Autonomous Drones

Rajiv V. Joshi, Arijit Raychowdhury, Insik Yoon, 2019, IEEE Journal on Emerging and Selected Topics in Circuits and Systems.

High-Accuracy Inference in Neuromorphic Circuits using Hardware-Aware Training pdf

Titash Rakshit, Borna Obradovic, Ryan Hatcher, 2018, ArXiv.

A Multi-Bit Neuromorphic Weight Cell Using Ferroelectric FETs, suitable for SoC Integration

Titash Rakshit, Borna Obradovic, Ryan Hatcher, 2018, IEEE Journal of the Electron Devices Society.

International Roadmap of Devices and Systems 2017 Edition: Beyond CMOS chapter.

Paul D. Franzon, Paul D. Franzon, Geoffrey W. Burr, 2018 .

Transfer and Online Reinforcement Learning in STT-MRAM Based Embedded Systems for Autonomous Drones

Insik Yoon, Malik Aqeel Anwar, Titash Rakshit, 2019, 2019 Design, Automation & Test in Europe Conference & Exhibition (DATE).

XBAROPT - Enabling Ultra-Pipelined, Novel STT MRAM Based Processing-in-Memory DNN Accelerator

Titash Rakshit, Arijit Raychowdhury, Aqeel Anwar, 2020, 2020 2nd IEEE International Conference on Artificial Intelligence Circuits and Systems (AICAS).

A Variation Robust Inference Engine Based on STT-MRAM with Parallel Read-Out

Xiaochen Peng, Yandong Luo, Shimeng Yu, 2020, 2020 IEEE International Symposium on Circuits and Systems (ISCAS).

Inference engine benchmarking across technological platforms from CMOS to RRAM

Xiaochen Peng, Xiaoyu Sun, Shimeng Yu, 2019, MEMSYS.

Current-voltage characteristics of molecular conductors: two versus three terminal

Supriyo Datta, Titash Rakshit, Magnus Paulsson, 2002 .

Gating of a Molecular Transistor: Electrostatic and Conformational

Supriyo Datta, Titash Rakshit, Avik W. Ghosh, 2002 .