Aakash Patil

According to our database, Aakash Patil authored at least 11 papers between 2015 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Deep Learning-Assisted Modelling of Turbulence in Fluids. (Modélisation de la turbulence dans les fluides assistée par l'apprentissage profond).

Aakash Patil

PhD thesis, 2023

2021

Hardware-Friendly Synaptic Orders and Timescales in Liquid State Machines for Speech Classification.

Vivek Saraswat, Ajinkya Gorad, Anand Naik, Aakash Patil, Udayan Ganguly

Proceedings of the International Joint Conference on Neural Networks, 2021

2020

ADEPOS: A Novel Approximate Computing Framework for Anomaly Detection Systems and its Implementation in 65-nm CMOS.

Sumon Kumar Bose, Bapi Kar, Mohendra Roy, Pradeep Kumar Gopalakrishnan, Lei Zhang, Aakash Patil, Arindam Basu

IEEE Trans. Circuits Syst. I Regul. Pap., 2020

2019

A 2.86-TOPS/W Current Mirror Cross-Bar-Based Machine-Learning and Physical Unclonable Function Engine For Internet-of-Things Applications.

Yi Chen, Zheng Wang, Aakash Patil, Arindam Basu

IEEE Trans. Circuits Syst. I Regul. Pap., 2019

ADEPOS: A Novel Approximate Computing Framework for Anomaly Detection Systems and its Implementation in 65nm CMOS.

Sumon Kumar Bose, Bapi Kar, Mohendra Roy, Pradeep Kumar Gopalakrishnan, Lei Zhang, Aakash Patil, Arindam Basu

CoRR, 2019

A Current Mirror Cross Bar Based 2.86-TOPS/W Machine Learner and PUF with <2.5% BER in 65nm CMOS for IoT Application.

Yi Chen, Zheng Wang, Aakash Patil, Arindam Basu

Proceedings of the IEEE International Symposium on Circuits and Systems, 2019

2018

Current Mirror Array: A Novel Circuit Topology for Combining Physical Unclonable Function and Machine Learning.

Zheng Wang, Yi Chen, Aakash Patil, Jayasanker Jayabalan, Xueyong Zhang, Chip-Hong Chang, Arindam Basu

IEEE Trans. Circuits Syst. I Regul. Pap., 2018

Powering the IoT through embedded machine learning and LoRa.

Vignesh Mahalingam Suresh, Rishi Sidhu, Prateek Karkare, Aakash Patil, Lei Zhang, Arindam Basu

Proceedings of the 4th IEEE World Forum on Internet of Things, 2018

2017

Hardware architecture for large parallel array of Random Feature Extractors applied to image recognition.

Aakash Patil, Shanlan Shen, Enyi Yao, Arindam Basu

Neurocomputing, 2017

Current mirror array: A novel lightweight strong PUF topology with enhanced reliability.

Zheng Wang, Yi Chen, Aakash Patil, Chip-Hong Chang, Arindam Basu

Proceedings of the IEEE International Symposium on Circuits and Systems, 2017

2015

Random projection for spike sorting: Decoding neural signals the neural network way.

Aakash Patil, Shanlan Shen, Enyi Yao, Arindam Basu

Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2015