Author's Latest Posts


Setting The Memory Controller Free From Managing DRAM Maintenance Ops (ETH Zurich)


A new technical paper titled "A Case for Self-Managing DRAM Chips: Improving Performance, Efficiency, Reliability, and Security via Autonomous in-DRAM Maintenance Operations" was published by researchers at ETH Zurich. Abstract: "The rigid interface of current DRAM chips places the memory controller completely in charge of DRAM control. Even DRAM maintenance operations, which are used to en... » read more

Detailed RF Characterization of Ultra-Thin Indium Oxide Transistors


A new technical paper titled "Record RF Performance of Ultra-thin Indium Oxide Transistors with Buried-gate Structure" was published by researchers at Purdue University and won the 2022 Device Research Conference Best Student Paper Award (DRC 2022 held in June). According to this Purdue University news release, "In this work, the radio frequency (RF) performance of indium oxide transistors w... » read more

New Method of Comparing Neural Networks (Los Alamos National Lab)


A new research paper titled "If You’ve Trained One You’ve Trained Them All: Inter-Architecture Similarity Increases With Robustness" from researchers at Los Alamos National Laboratory (LANL) and was recently presented at the Conference on Uncertainty in Artificial Intelligence. The team developed a new approach for comparing neural networks and "applied their new metric of network simila... » read more

Hardware Implementation Of A Random Gumber Generator On A FPGA


A new research paper titled "FPGA Random Number Generator" was published by a researcher at Johns Hopkins University. According to the paper's abstract: "This paper offers a proof-of-concept for creating a verilog-based hardware design that utilizes random measurement and scrambling algorithms to generate 32-bit random synchronously with a single clock cycle on a field-programmable-gate-arr... » read more

Radiation-Hardened Non-Volatile Magnetic Latch That Tolerates SNUs and DNUs


A research paper titled "A Radiation-Hardened Non-Volatile Magnetic Latch with High Reliability and Persistent Storage" was published by researchers at Anhui University, Hefei University of Technology, LIRMM, and Kyutech. According to the abstract: "Based on an advanced triple-path dual-interlocked-storage-cell (TPDICE) and MTJs, this paper proposes a radiation-hardened non-volatile magneti... » read more

Optimizing Quantum Sensors


A new technical paper titled "Dissipative Superradiant Spin Amplifier for Enhanced Quantum Sensing" was published by researchers at the University of Chicago and Simon Fraser University, British Columbia. According to the University of Chicago news release, the researchers examined how qubits interact with each other and discovered a better way of extracting information out of the qubits by ... » read more

Scaling Down To 2nm: Using Microwaves For Efficient & Stable Doping


A new technical paper titled "Efficient and stable activation by microwave annealing of nanosheet silicon doped with phosphorus above its solubility limit" was just published by researchers at National Taiwan University, Cornell University, TSMC, University of Valladolid, DSG Technologies, National Central University and National Yang Ming Chiao Tung University. A modified microwave was used... » read more

Modeling Effects Of Fluctuation Sources On Electrical Characteristics Of GAA Si NS MOSFETs Using ANN-Based ML


Researchers from National Yang Ming Chiao Tung University (Taiwan) published a technical paper titled "A Machine Learning Approach to Modeling Intrinsic Parameter Fluctuation of Gate-All-Around Si Nanosheet MOSFETs." "This study has comprehensively analyzed the potential of the ANN-based ML strategy in modeling the effect of fluctuation sources on electrical characteristics of GAA Si NS MOSF... » read more

Convolutional Neural Networks: Co-Design of Hardware Architecture and Compression Algorithm


Researchers at Soongsil University (Korea) published "A Survey on Efficient Convolutional Neural Networks and Hardware Acceleration." Abstract: "Over the past decade, deep-learning-based representations have demonstrated remarkable performance in academia and industry. The learning capability of convolutional neural networks (CNNs) originates from a combination of various feature extraction... » read more

Robust Latch Hardened Against QNUs for Safety-Critical Applications in 22nm CMOS Technology


A technical paper titled "Cost-Optimized and Robust Latch Hardened against Quadruple Node Upsets for Nanoscale CMOS" was just published by researchers at Anhui University, Hefei University of Technology, Anhui Polytechnic University, Kyushu Institute of Technology, and the University of Montpellier/CNRS. Abstract: "With the aggressive reduction of CMOS transistor feature sizes, the soft ... » read more

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