category: AI/ML/DL

category: IoT, Security & Automotive

Automotive Intrusion Detection Methodologies (TU Denmark)
By Technical Paper Link - 06 Sep, 2023 - Comments: 0

A new technical paper titled "Intrusion Detection in the Automotive Domain: A Comprehensive Review" was published by researchers at DTU Compute Technical University of Denmark Abstract "The automotive domain has realized amazing advancements in communication, connectivity, and automation— and at a breakneck pace. Such advancements come with ample benefits, such as the reduction of traffic... » read more

An Open-Source Solution To Accelerate Autonomous Vehicle Validation And Verification Research
By Technical Paper Link - 28 Aug, 2023 - Comments: 0

A technical paper titled “PolyVerif: An Open-Source Environment for Autonomous Vehicle Validation and Verification Research Acceleration” was published by researchers at Florida Polytechnic University, Embry-Riddle Aeronautical University, Tallinn University of Technology, and Acclivis Technologies. Abstract: "Validation and Verification (V&V) of Artificial Intelligence (AI) based cyb... » read more

An Energy-Efficient 10T SRAM In-Memory Computing Macro Architecture For AI Edge Processor
By Technical Paper Link - 28 Aug, 2023 - Comments: 0

A technical paper titled “An energy-efficient 10T SRAM in-memory computing macro for artificial intelligence edge processor” was published by researchers at Atal Bihari Vajpayee-Indian Institute of Information Technology and Management (ABV-IIITM). Abstract: "In-Memory Computing (IMC) is emerging as a new paradigm to address the von-Neumann bottleneck (VNB) in data-intensive applications.... » read more

Neuromorphic Computing: Graphene-Based Memristors For Future AI Hardware From Fabrication To SNNs
By Technical Paper Link - 15 Aug, 2023 - Comments: 0

A technical paper titled “A Review of Graphene-Based Memristive Neuromorphic Devices and Circuits” was published by researchers at James Cook University (Australia) and York University (Canada). Abstract: "As data processing volume increases, the limitations of traditional computers and the need for more efficient computing methods become evident. Neuromorphic computing mimics the brain's... » read more

Modeling Optical Loss And Crosstalk Noise For Silicon-Photonic-Based Neural Networks Of Different Scales 
By Technical Paper Link - 10 Aug, 2023 - Comments: 0

A technical paper titled “Analysis of Optical Loss and Crosstalk Noise in MZI-based Coherent Photonic Neural Networks" was published by researchers at Colorado State University (Fort Collins), NVIDIA, and Arizona State University. Abstract: "With the continuous increase in the size and complexity of machine learning models, the need for specialized hardware to efficiently run such model... » read more

A Search Framework That Optimizes Hybrid-Device IMC Architectures For DNNs, Using Chiplets
By Technical Paper Link - 08 Aug, 2023 - Comments: 0

A technical paper titled “HyDe: A Hybrid PCM/FeFET/SRAM Device-search for Optimizing Area and Energy-efficiencies in Analog IMC Platforms” was published by researchers at Yale University. Abstract: "Today, there are a plethora of In-Memory Computing (IMC) devices- SRAMs, PCMs & FeFETs, that emulate convolutions on crossbar-arrays with high throughput. Each IMC device offers its own pr... » read more

Analog Circuits Enabling Learning in Mixed-Signal Neuromorphic SNNs, With Tristate Stability and Weight Discretization Circuits
By Technical Paper Link - 02 Aug, 2023 - Comments: 0

A technical paper titled “Neuromorphic analog circuits for robust on-chip always-on learning in spiking neural networks” was published by researchers at University of Zurich and ETH Zurich. Abstract: "Mixed-signal neuromorphic systems represent a promising solution for solving extreme-edge computing tasks without relying on external computing resources. Their spiking neural network circui... » read more

CNN Hardware Architecture With Weights Generator Module That Alleviates Impact Of The Memory Wall
By Technical Paper Link - 01 Aug, 2023 - Comments: 0

A technical paper titled “Mitigating Memory Wall Effects in CNN Engines with On-the-Fly Weights Generation” was published by researchers at Samsung AI Center and University of Cambridge. Abstract: "The unprecedented accuracy of convolutional neural networks (CNNs) across a broad range of AI tasks has led to their widespread deployment in mobile and embedded settings. In a pursuit for high... » read more

A Photonic Circuit Architecture Allowing Faster, More Efficient Transfer of Large Amounts of Data
By Technical Paper Link - 06 Jul, 2023 - Comments: 0

A technical paper titled "Massively scalable Kerr comb-driven silicon photonic link" was published by researchers at Columbia University and Air Force Research Laboratory. Abstract: "The growth of computing needs for artificial intelligence and machine learning is critically challenging data communications in today’s data-centre systems. Data movement, dominated by energy costs and limi... » read more

Improving Performance Of Artificial Intelligence And Quantum Computers
By Technical Paper Link - 24 Jun, 2023 - Comments: 0

A technical paper titled “Gate-tunable superconducting diode effect in a three-terminal Josephson device” was published by researchers at University of Minnesota, University of California Santa Barbara, and Stanford University. Abstract: "The phenomenon of non-reciprocal critical current in a Josephson device, termed the Josephson diode effect, has garnered much recent interest. Realizati... » read more

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