Equivalent-accuracy accelerated neural-network training using analogue memory. - Stefano Ambrogio; Pritish Narayanan; Hsinyu Tsai; Robert M. Shelby; Irem Boybat; Carmelo di Nolfo; Severin Sidler; Massimo Giordano; Martina Bodini; Nathan C. P. Farinha; Benjamin Killeen; Christina Cheng; et al. (Nat., 2018)

Analog-to-Digital Conversion With Reconfigurable Function Mapping for Neural Networks Activation Function Acceleration. - Massimo Giordano; Giorgio Cristiano; Koji Ishibashi; Stefano Ambrogio; Hsinyu Tsai; Geoffrey W. Burr; Pritish Narayanan (IEEE J. Emerg. Sel. Topics Circuits Syst., 2019)

A 4-bit Mixed-Signal MAC Array with Swing Enhancement and Local Kernel Memory. - Wei-Han Yu; Massimo Giordano; Rohan Doshi; Minglei Zhang; Pui-In Mak; Rui Paulo Martins; Boris Murmann (MWSCAS, 2021)

CHIMERA: A 0.92-TOPS, 2.2-TOPS/W Edge AI Accelerator With 2-MByte On-Chip Foundry Resistive RAM for Efficient Training and Inference. - Kartik Prabhu; Albert Gural; Zainab F. Khan; Robert M. Radway; Massimo Giordano; Kalhan Koul; Rohan Doshi; John W. Kustin; Timothy Liu; Gregorio B. Lopes; Victor Turbiner; Win-San Khwa; et al. (IEEE J. Solid State Circuits, 2022)

TinyForge: A Design Space Exploration to Advance Energy and Silicon Area Trade-offs in tinyML Compute Architectures with Custom Latch Arrays. - Massimo Giordano; Rohan Doshi; Qianyun Lu; Boris Murmann (ASPLOS (3), 2024)

Medusa: A 0.83/4.6μJ/Frame 86/91.6%-CIFAR-10 TinyML Processor with Pipelined Pixel Streaming of Bottleneck Layers in 28nm CMOS. - Rohan Doshi; Massimo Giordano; Justin Olah; Zhidong Cao; Moon Hyung Jang; Luke R. Upton; Athanasios Ramkaj; Boris Murmann (VLSI Technology and Circuits, 2024)

MINOTAUR: An Edge Transformer Inference and Training Accelerator with 12 MBytes On-Chip Resistive RAM and Fine-Grained Spatiotemporal Power Gating. - Kartik Prabhu; Robert M. Radway; Y. Jeffrey; Kai Bartolone; Massimo Giordano; Fabian Peddinghaus; Yonatan Urman; Win-San Khwa; Yu-Der Chih; Meng-Fan Chang; Subhasish Mitra; Priyanka Raina (VLSI Technology and Circuits, 2024)

MINOTAUR: A Posit-Based 0.42-0.50-TOPS/W Edge Transformer Inference and Training Accelerator. - Kartik Prabhu; Robert M. Radway; Jeffrey Yu; Kai Bartolone; Massimo Giordano; Fabian Peddinghaus; Yonatan Urman; Win-San Khwa; Yu-Der Chih; Meng-Fan Chang; Subhasish Mitra; Priyanka Raina (IEEE J. Solid State Circuits, 2025)