Avishek Biswas

CONV-SRAM: An Energy-Efficient SRAM With In-Memory Dot-Product Computation for Low-Power Convolutional Neural Networks

Anantha P. Chandrakasan, Avishek Biswas, A. Chandrakasan, 2019, IEEE Journal of Solid-State Circuits.

Conv-RAM: An energy-efficient SRAM with embedded convolution computation for low-power CNN-based machine learning applications

Anantha Chandrakasan, Avishek Biswas, A. Chandrakasan, 2018, 2018 IEEE International Solid - State Circuits Conference - (ISSCC).

Energy-efficient smart embedded memory design for IoT and AI

Avishek Biswas, Avishek Biswas, 2018 .

Motor Babble: Morphology-Driven Coordinated Control of Articulated Characters

Victor B. Zordan, Ioannis Karamouzas, Avinash Ranganath, 2021, MIG.

Training Physics-based Controllers for Articulated Characters with Deep Reinforcement Learning

Avishek Biswas, 2021 .

Preparation and labeling of technitium-99m kit In pharmaceutical grade clean room

M. Amin, A. Haque, Avishek Biswas, 2014 .

An area-efficient 6T-SRAM based Compute-In-Memory architecture with reconfigurable SAR ADCs for energy-efficient deep neural networks in edge ML applications

M. Mehendale, Avishek Biswas, Hetul Sanghvi, 2022, IEEE Custom Integrated Circuits Conference.

An offset-cancelling four-phase voltage sense amplifier for resistive memories in 14nm CMOS

Anantha Chandrakasan, Umut Arslan, Fatih Hamzaoglu, 2017, 2017 IEEE Custom Integrated Circuits Conference (CICC).

A 0.36V 128Kb 6T SRAM with energy-efficient dynamic body-biasing and output data prediction in 28nm FDSOI

Anantha Chandrakasan, Avishek Biswas, A. Chandrakasan, 2016, ESSCIRC Conference 2016: 42nd European Solid-State Circuits Conference.

CONV-SRAM: An Energy-Efficient SRAM With In-Memory Dot-Product Computation for Low-Power Convolutional Neural Networks

A. Chandrakasan, Avishek Biswas, 2019, IEEE Journal of Solid-State Circuits.