Photonic-Electronic SmartNIC With Fast and Energy-Efficient Photonic Computing Cores (MIT)


A technical paper titled “Lightning: A Reconfigurable Photonic-Electronic SmartNIC for Fast and Energy-Efficient Inference” was published by researchers at Massachusetts Institute of Technology (MIT). Abstract: "The massive growth of machine learning-based applications and the end of Moore's law have created a pressing need to redesign computing platforms. We propose Lightning, the first ... » read more

3D-Integrated Neuromorphic Hardware With A Two-Level Neuromorphic “Synapse Over Neuron” Structure


A technical paper titled “3D Neuromorphic Hardware with Single Thin-Film Transistor Synapses Over Single Thin-Body Transistor Neurons by Monolithic Vertical Integration” was published by researchers at Korea Advanced Institute of Science and Technology (KAIST) and SK hynix. Abstract: "Neuromorphic hardware with a spiking neural network (SNN) can significantly enhance the energy efficiency... » read more

Design Optimization Of Split-Gate NOR Flash For Compute-In-Memory


A technical paper titled “Design Strategies of 40 nm Split-Gate NOR Flash Memory Device for Low-Power Compute-in-Memory Applications” was published by researchers at Seoul National University of Science and Technology and University of Seoul. Abstract: "The existing von Neumann architecture for artificial intelligence (AI) computations suffers from excessive power consumption and memo... » read more

Hardware Security for Silicon Photonic-Based AI Accelerators


A technical paper titled “Integrated Photonic AI Accelerators under Hardware Security Attacks: Impacts and Countermeasures” was published by researchers at Ecole Polytechnique de Montreal and Colorado State University. Abstract: "Integrated photonics based on silicon photonics platform is driving several application domains, from enabling ultra-fast chip-scale communication in high-perfor... » read more

Neuromorphic Artificial Synaptic Device Combining Memristor Arrays With Copper Iodide


A technical paper titled “Charge-Mediated Copper-Iodide-Based Artificial Synaptic Device with Ultrahigh Neuromorphic Efficacy” was published by researchers at University of Glasgow, City University of Hong Kong, and Hong Kong Metropolitan University. Abstract: "In the realm of artificial intelligence, ultrahigh-performance neuromorphic computing plays a significant role in executing multi... » read more

Automotive Intrusion Detection Methodologies (TU Denmark)


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


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


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


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 


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

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