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MEMprop: Gradient-based Learning To Train Fully Memristive SNNs


New technical paper titled "Gradient-based Neuromorphic Learning on Dynamical RRAM Arrays" from IEEE researchers. Abstract "We present MEMprop, the adoption of gradient-based learning to train fully memristive spiking neural networks (MSNNs). Our approach harnesses intrinsic device dynamics to trigger naturally arising voltage spikes. These spikes emitted by memristive dynamics are anal... » read more

UC Berkeley: New Semiconductor Laser Delivering Power with Scalability


U.C. Berkeley scientists demonstrated a Berkeley Surface Emitting Lasers (BerkSELs), a long-sought breakthrough in scaling laser size with power. “Increasing both size and power of a single-mode laser has been a challenge in optics since the first laser was built in 1960,” said research team leader Boubacar Kanté, Chenming Hu Associate Professor at Berkeley. “Six decades later, we show ... » read more

TU Dresden: Tile-based Multi-Core Architecture for Heterogeneous RISC-V Processors Suitable for FPGA Platforms


New technical paper titled "AGILER: An Adaptive Heterogeneous Tile-Based Many-Core Architecture for RISC-V Processors" from researchers at Technische Universitaet Dresden (TU Dresden). Partial Abstract: "In this work, AGILER is proposed as an adaptive tile-base many-core architecture for heterogeneous RISC-V based processors. The proposed architecture consists of modular and adaptable heter... » read more

One Transistor Process-in-Memory Device Strategy w/ Multi-Functional Multi-Gate One-transistor (MGT) Design of Multiple Electrodes


New technical paper titled "Multi-functional multi-gate one-transistor process-in-memory electronics with foundry processing and footprint reduction" from researchers at Ningbo Institute of Materials Technology and Engineering (Chinese Academy of Sciences), Center of Materials Science and Optoelectronics Engineering (University of Chinese Academy of Sciences), Shanghai Institute of Microsystem ... » read more

Flip-Chip Integration of a GaSb Semiconductor Optical Amplifier with a Silicon Photonic Circuit


New research paper titled "Hybrid silicon photonics DBR laser based on flip-chip integration of GaSb amplifiers and µm-scale SOI waveguides" by researchers at Tampere University (Finland). Abstract: "The development of integrated photonics experiences an unprecedented growth dynamic, owing to accelerated penetration to new applications. This leads to new requirements in terms of functional... » read more

Hertzbleed: A New Family of Side-Channel Attacks–Root Case: Dynamic Frequency Scaling


  New research paper titled "Hertzbleed: Turning Power Side-Channel Attacks Into Remote Timing Attacks on x86" from researchers at UT Austin, University of Illinois Urbana-Champaign (UIUC) and University of Washington can be found here. (preprint). This paper will be presented at the 31st USENIX Security Symposium (Boston, 10–12 August 2022). Summary explanation of the Hertzbleed ... » read more

Univ. of Manchester & Shandong Univ.–Synaptic Transistors


Research paper titled "Synaptic transistors with a memory time tunability over seven orders of magnitude" from researchers at The University of Manchester (UK) and Shandong Technology Center of Nanodevices and Integration, School of Microelectronics, Shandong University, China. Abstract "The human brain is capable of short- and long-term memory with retention times ranging from a few second... » read more

Using Reservoir Offset Voltage Of a Quantum Dot as Gate Electrode


Technical paper titled "The functions of a reservoir offset voltage applied to physically defined p-channel Si quantum dots" from researchers at Tokyo Institute of Technology and Device Technology Research Institute (D-Tech), National Institute of Advanced Industrial Science and Technology (AIST). Abstract "We propose and define a reservoir offset voltage as a voltage commonly applied to b... » read more

HBM-based scalable multi-FPGA emulator for Quantum Fourier Transform (QFT)


New technical paper titled "A Scalable Emulator for Quantum Fourier Transform Using Multiple-FPGAs With High-Bandwidth-Memory" from researchers at Tohoku University in Japan. Abstract: "Quantum computing is regarded as the future of computing that hopefully provides exponentially large processing power compared to the conventional digital computing. However, current quantum computers do not... » read more

“All-in-One” 8×8 Array of Low-Power & Bio-inspired Crypto Engines w/IoT Edge Sensors Based on 2D Memtransistors


New technical paper titled "All-in-one, bio-inspired, and low-power crypto engines for near-sensor security based on two-dimensional memtransistors" from researchers at Penn State University. Abstract: "In the emerging era of the internet of things (IoT), ubiquitous sensors continuously collect, consume, store, and communicate a huge volume of information which is becoming increasingly vuln... » read more

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