Cormac Brick

According to our database, Cormac Brick authored at least 9 papers between 2014 and 2025.

Collaborative distances:

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

2025

EmbeddingGemma: Powerful and Lightweight Text Representations.

Henrique Schechter Vera, Sahil Dua, Biao Zhang, Daniel Salz, Ryan Mullins, Sindhu Raghuram Panyam, Sara Smoot, Iftekhar Naim, Joe Zou, Feiyang Chen, Daniel Cer, Alice Lisak, Min Choi, Lucas Gonzalez, Omar Sanseviero, Glenn Cameron, Ian Ballantyne, Kat Black, Kaifeng Chen, Weiyi Wang, Zhe Li, Gus Martins, Jinhyuk Lee, Mark Sherwood, Ju-yeong Ji, Renjie Wu, Jingxiao Zheng, Jyotinder Singh, Abheesht Sharma, Divyashree Sreepathihalli, Aashi Jain, Adham Elarabawy, AJ Co, Andreas Doumanoglou, Babak Samari, Ben Hora, Brian Potetz, Dahun Kim, Enrique Alfonseca, Fedor Moiseev, Feng Han, Frank Palma Gomez, Gustavo Hernández Ábrego, Hesen Zhang, Hui Hui, Jay Han, Karan Gill, Ke Chen, Koert Chen, Madhuri Shanbhogue, Michael Boratko, Paul Suganthan, Sai Meher Karthik Duddu, Sandeep Mariserla, Setareh Ariafar, Shanfeng Zhang, Shijie Zhang, Simon Baumgartner, Sonam Goenka, Steve Qiu, Tanmaya Dabral, Trevor Walker, Vikram Rao, Waleed Khawaja, Wenlei Zhou, Xiaoqi Ren, Ye Xia, Yichang Chen, Yi-Ting Chen, Zhe Dong, Zhongli Ding, Francesco Visin, Gaël Liu, Jiageng Zhang, Kathleen Kenealy, Michelle Casbon, Ravin Kumar, Thomas Mesnard, Zach Gleicher, Cormac Brick, Olivier Lacombe, Adam Roberts, Qin Yin, Yun-Hsuan Sung, Raphael Hoffmann, Tris Warkentin, Armand Joulin, Tom Duerig, Mojtaba Seyedhosseini

CoRR, September, 2025

2024

Efficient Hardware Acceleration of Emerging Neural Networks for Embedded Machine Learning: An Industry Perspective.

Arnab Raha, Raymond Sung, Soumendu Ghosh, Praveen Kumar Gupta, Deepak A. Mathaikutty, Umer I. Cheema, Kevin Hyland, Cormac Brick, Vijay Raghunathan

Proceedings of the Embedded Machine Learning for Cyber-Physical, 2024

2021

Design Considerations for Edge Neural Network Accelerators: An Industry Perspective.

Arnab Raha, Sang Kyun Kim, Deepak Mathaikutty, Guruguhanathan Venkataramanan, Debabrata Mohapatra, Raymond Sung, Cormac Brick, Gautham N. Chinya

Proceedings of the 34th International Conference on VLSI Design and 20th International Conference on Embedded Systems, 2021

Special Session: Approximate TinyML Systems: Full System Approximations for Extreme Energy-Efficiency in Intelligent Edge Devices.

Arnab Raha, Soumendu Ghosh, Debabrata Mohapatra, Deepak A. Mathaikutty, Raymond Sung, Cormac Brick, Vijay Raghunathan

Proceedings of the 39th IEEE International Conference on Computer Design, 2021

2020

Deep Learning Stereo Vision at the edge.

Luca Puglia, Cormac Brick

CoRR, 2020

2018

SQuantizer: Simultaneous Learning for Both Sparse and Low-precision Neural Networks.

Mi Sun Park, Xiaofan Xu, Cormac Brick

CoRR, 2018

Hybrid Pruning: Thinner Sparse Networks for Fast Inference on Edge Devices.

Xiaofan Xu, Mi Sun Park, Cormac Brick

CoRR, 2018

2015

Always-on Vision Processing Unit for Mobile Applications.

Brendan Barry, Cormac Brick, Fergal Connor, David Donohoe, David Moloney, Richard Richmond, Martin J. O'Riordan, Vasile Toma

IEEE Micro, 2015

2014

Myriad 2: Eye of the computational vision storm.

David Moloney, Brendan Barry, Richard Richmond, Fergal Connor, Cormac Brick, David Donohoe

Proceedings of the 2014 IEEE Hot Chips 26 Symposium (HCS), 2014