Author's Latest Posts


Neuromorphic Chips & Power Demands


Research paper titled "A Long Short-Term Memory for AI Applications in Spike-based Neuromorphic Hardware," from researchers at Graz University of Technology and Intel Labs. Abstract "Spike-based neuromorphic hardware holds the promise to provide more energy efficient implementations of Deep Neural Networks (DNNs) than standard hardware such as GPUs. But this requires to understand how D... » read more

Computational SRAM (C-SRAM) Solution Combining In- and Near-Memory Computing Approaches


New academic paper titled "Towards a Truly Integrated Vector Processing Unit for Memory-bound Applications Based on a Cost-competitive Computational SRAM Design Solution", from researchers at Univ. Grenoble Alpes, CEA-LIST. Abstract "This article presents Computational SRAM (C-SRAM) solution combining In- and Near-Memory Computing approaches. It allows performing arithmetic, logic, and co... » read more

Nanosheet GeSn pTFTs: High Performance, Low Thermal Budget


New technical paper titled "Remarkably High-Performance Nanosheet GeSn Thin-Film Transistor" from researchers at National Yang Ming Chiao Tung University and others. Abstract "High-performance p-type thin-film transistors (pTFTs) are crucial for realizing low-power display-on-panel and monolithic three-dimensional integrated circuits. Unfortunately, it is difficult to achieve a high hole ... » read more

Performing Edge Detection With Oscillatory Neural Networks as a Hetero-associative Memory


New research paper titled "Oscillatory Neural Network as Hetero-Associative Memory for Image Edge Detection" from LIRMM - Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier. Abstract "The increasing amount of data to be processed on edge devices, such as cameras, has motivated Artificial Intelligence (AI) integration at the edge. Typical image processing me... » read more

Data Fusion Scheme For Object Detection & Trajectory Prediction for Autonomous Driving


New research paper titled "Multi-View Fusion of Sensor Data for Improved Perception and Prediction in Autonomous Driving" from researchers at Uber. Abstract "We present an end-to-end method for object detection and trajectory prediction utilizing multi-view representations of LiDAR returns. Our method builds on a state-of-the-art Bird's-Eye View (BEV) network that fuses voxelized featur... » read more

RISC-V: Advanced Virtual Prototyping Solutions


New technical paper titled "Advanced virtual prototyping for cyber-physical systems using RISC-V: implementation, verification and challenges" from researchers at Institute of Computer Science, University of Bremen and Cyber-Physical Systems, DFKI GmbH. Abstract "Virtual prototypes (VPs) are crucial in today’s design flow. VPs are predominantly created in SystemC transaction-level modelin... » read more

Design of a Mixed-signal ASIC for the front-end electronics of ionisation chambers


New technical paper titled "An Ultra Low Current Measurement Mixed-Signal ASIC for Radiation Monitoring Using Ionisation Chambers," by researchers at CERN. Abstract "Measurement of total ionizing dose in a radiation field is efficiently carried out by ionisation chambers. The paper details the design of a mixed-signal ASIC for the front-end electronics of ionisation chambers. A single c... » read more

Two Chip-Scale Photonic Systems For Optical Data Transmission & Microwave Photonics


New research paper "Microcomb-driven silicon photonic systems" from Peking University, UCSB, and Peng Cheng Laboratory. Abstract "Microcombs have sparked a surge of applications over the past decade, ranging from optical communications to metrology. Despite their diverse deployment, most microcomb-based systems rely on a large amount of bulky elements and equipment to fulfil their desir... » read more

Neurosynaptic Device That Mimics Synaptic and Intrinsic Plasticity Concomitantly In a Single cell


New academic paper titled "Simultaneous emulation of synaptic and intrinsic plasticity using a memristive synapse" from researchers at Korea Advanced Institute of Science and Technology (KAIST). Abstract Neuromorphic computing targets the hardware embodiment of neural network, and device implementation of individual neuron and synapse has attracted considerable attention. The emulation of... » read more

A Methodology for Automatic eFPGA redaction


New academic paper titled "ALICE: An Automatic Design Flow for eFPGA Redaction" from researchers at Politecnico di Milano, New York University, University of Calgary, and the University of Utah. Abstract "Fabricating an integrated circuit is becoming unaffordable for many semiconductor design houses. Outsourcing the fabrication to a third-party foundry requires methods to protect the intell... » read more

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