LBIST for auto MCUs using a digital twin; HW-SW co-design for side-channel protected NN inference; near-memory FPGA graph processing framework; AFM & photoresists; acceleration of DL inference on edge devices; negative capacitance GAA FETs.

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New technical papers recently added to Semiconductor Engineering’s library:

Technical Paper Research Organizations
A Novel LBIST Signature Computation Method for Automotive Microcontrollers using a Digital Twin University of Bremen, Infineon Technologies and DFKI GmbH
Hardware-Software Co-design for Side-Channel Protected Neural Network Inference North Carolina State University and Intel
ACTS: A Near-Memory FPGA Graph Processing Framework University of Virginia and Samsung
Enhancing the precision of 3D sidewall measurements of photoresist using atomic force microscopy with a tip-tilting technique National Metrology Institute of Japan (NMIJ) and National Institute of Advanced Industrial Science and Technology (AIST)
Efficient Acceleration of Deep Learning Inference on Resource-Constrained Edge Devices: A Review University of Missouri and Texas Tech University
Recent Developments in Negative Capacitance Gate-All-Around Field Effect Transistors: A Review PKU-HKUST Shenzhen-Hong Kong Institution and Shenzhen Institute of Peking University

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Linda Christensen

Linda Christensen

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Linda Christensen is vice president of operations and a contributing writer at Semiconductor Engineering.

Source: https://semiengineering.com/chip-industrys-technical-paper-roundup-feb-21/