Brain-Inspired Computing Device That Programs/RePrograms HW On Demand With Electrical Pulses


Multiple academic and government institutions jointly developed a new computer device that can "program and program computer hardware on demand through electrical pulses," according to this Argonne National Lab news release. The device's key materials are neodymium, nickel and oxygen and is referred to as a perovskite nickelate. This new research paper titled "Reconfigurable perovskite nicke... » read more

Week In Review, Manufacturing, Test


Samsung announced initial production of its 3nm process node, which uses a gate-all-around (nanosheet) transistor structure that the company calls Multi-Bridge-Channel FET (MBCFET). The first-generation 3nm process can reduce power consumption by up to 45% compared with a 5nm process, as well as improve performance by 23% and reduce area by 16%, according to the company. The second-generation 3... » read more

Research Bits: June 21


Side-channel protection for edge AI Researchers from the Massachusetts Institute of Technology built a chip that can defend against power side-channel attacks targeting machine learning computations in smartwatches, smartphones, and tablets. Side-channel attacks involve observing a facet of the device's operation, in this case power, to deduce secrets. “The goal of this project is to buil... » read more

Technical Paper Round-Up: June 8


  New technical papers added to Semiconductor Engineering’s library this week. [table id=32 /] Semiconductor Engineering is in the process of building this library of research papers. Please send suggestions (via comments section below) for what else you’d like us to incorporate. If you have research papers you are trying to promote, we will review them to see if they are a ... » read more

Novel Spintronic Neuro-mimetic Device Emulating the LIF Neuron Dynamics w/High Energy Efficiency & Compact Footprints


New technical paper titled "Noise resilient leaky integrate-and-fire neurons based on multi-domain spintronic devices" from researchers at Purdue University. Abstract "The capability of emulating neural functionalities efficiently in hardware is crucial for building neuromorphic computing systems. While various types of neuro-mimetic devices have been investigated, it remains challenging to... » read more

Week in Review: Manufacturing, Test


Hybrid Bonding & Supercomputers At this week’s ECTC conference, CEA-Leti and Intel presented an “optimized hybrid direct-bonding, self-assembly process," which they claim has the potential to increase alignment accuracy and speed up fab throughput by several thousand dies per hour. The approach uses capillary forces of a water droplet to align dies on a target wafer. “Commercial s... » read more

Technical Paper Round-up: May 31


New technical papers added to Semiconductor Engineering’s library this week. [table id=30 /] Semiconductor Engineering is in the process of building this library of research papers. Please send suggestions (via comments section below) for what else you’d like us to incorporate. If you have research papers you are trying to promote, we will review them to see if they are a good fit for... » read more

CFU Playground: Significant Speedups & Design Space Exploration Between CPU & Accelerator


Technical paper titled "CFU Playground: Full-Stack Open-Source Framework for Tiny Machine Learning (tinyML) Acceleration on FPGAs," from Google, Purdue University and Harvard University. Abstract "We present CFU Playground, a full-stack open-source framework that enables rapid and iterative design of machine learning (ML) accelerators for embedded ML systems. Our toolchain tightly integr... » read more

Driving Toward More Rugged, Less Expensive SiC


Silicon carbide is gaining traction in the power semiconductor market, particularly in electrified vehicles, but it's still too expensive for many applications. The reasons are well understood, but until recently SiC was largely a niche technology that didn't warrant the investment. Now, as demand grows for chips that can work in high-voltage applications, SiC is getting a much closer look. ... » read more

Silicon Verified ASIC Implementation for Saber


New research paper from Purdue University, KU Leuven, and Intel Labs titled "A 334uW 0.158mm2 Saber Learning with Rounding based Post-Quantum Crypto Accelerator." Abstract: "National Institute of Standard & Technology (NIST) is currently running a multi-year-long standardization procedure to select quantum-safe or post-quantum cryptographic schemes to be used in the future. Saber is the... » read more

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