Perfis

Kaushik Roy

Professor of Electrical and Computer Engineering, Purdue University

E-mail confirmado em purdue.edu

Citado por 72183

Neuromorphic computing Machine Learning ML hardware Neuro-mimetic devices Energy-efficient computing

C. Richard Ho

OpenAI

E-mail confirmado em cs.stanford.edu

Citado por 10094

ML Hardware Semiconductors Computer Architecture Design Verification

Kofi Odame

Associate Professor of Engineering, Dartmouth College

E-mail confirmado em dartmouth.edu

Citado por 1419

ML hardware Analog IC Nonlinear signal processing Machine learning hardware

srivatsa rangachar srinivasa

Research Scientist , Intel Labs

Citado por 741

In-memory computing Near memory computing heterogenous integration ML hardware Low power circuit design

Marco Donato

Assistant Professor, Tufts University

E-mail confirmado em ece.tufts.edu

Citado por 603

eNVM emerging technologies VLSI ML hardware computer architecture

João Paulo Cardoso de Lima

Technische Universität Dresden and ScaDS.AI

E-mail confirmado em tu-dresden.de

Citado por 359

emerging memory technologies reconfigurable architectures neuromorphic computing ML Hardware

Sangmin Yoo

Assistant Professor, Oregon State University

E-mail confirmado em oregonstate.edu

Citado por 284

Neuromorphic Computing ML Hardware Co-design AI-Chip

Gaurav Kumar K

Ph.D. Candidate, Purdue University. Past: TI Kilby Labs

E-mail confirmado em purdue.edu

Citado por 170

Energy-Efficient Hardware Mixed Signal IC Design In-Memory Computing ML hardware

Jeffry Louis Victor

Purdue University

E-mail confirmado em purdue.edu

Citado por 112

ML Hardware In-Memory Computing Emerging Devices Non-volatile Memory VLSI

Shubham Negi

PhD Candidate, Purdue University

E-mail confirmado em purdue.edu

Citado por 70

Computer Architecture ML Hardware Performance Modeling In Memory Computing AutoML

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