category: AI/ML/DL

category: IoT, Security & Automotive

AI Accelerators for Homomorphic Encryption Workloads
By Technical Paper Link - 15 Jan, 2025 - Comments: 0

A new technical paper titled "Leveraging ASIC AI Chips for Homomorphic Encryption" was published by researchers at Georgia Tech, MIT, Google and Cornell University. Abstract: "Cloud-based services are making the outsourcing of sensitive client data increasingly common. Although homomorphic encryption (HE) offers strong privacy guarantee, it requires substantially more resources than compu... » read more

Designing Heterogeneous AI Acceleration SoCs
By Technical Paper Link - 06 Jan, 2025 - Comments: 0

A new technical paper titled "Open-Source Heterogeneous SoCs for AI: The PULP Platform Experience" was published by researchers at University of Bologna. Abstract "Since 2013, the PULP (Parallel Ultra-Low Power) Platform project has been one of the most active and successful initiatives in designing research IPs and releasing them as open-source. Its portfolio now ranges from processor co... » read more

Co-Packaged Optics To Train/Run GenAI Models in Data Centers (IBM)
By Technical Paper Link - 27 Dec, 2024 - Comments: 0

A new technical paper titled "Next generation Co-Packaged Optics Technology to Train & Run Generative AI Models in Data Centers and Other Computing Applications" was published by researchers at IBM. Abstract "We report on the successful design and fabrication of optical modules using a 50 micron pitch polymer waveguide interface, integrated for low loss, high density optical data transf... » read more

Wafer Bin Map Defect Classification Using Semi-Supervised Learning
By Technical Paper Link - 27 Dec, 2024 - Comments: 0

A new technical paper titled "Semi-Supervised Learning with Wafer-Specific Augmentations for Wafer Defect Classification" was published by researchers at Korea University. Abstract "Semi-supervised learning (SSL) models, which leverage both labeled and unlabeled datasets, have been increasingly applied to classify wafer bin map patterns in semiconductor manufacturing. These models typical... » read more

CXL’s Potential to Elevate The Capabilities of HPC and AI Applications (Micron, Intel)
By Technical Paper Link - 20 Dec, 2024 - Comments: 0

A new technical paper titled "Optimizing System Memory Bandwidth with Micron CXL Memory Expansion Modules on Intel Xeon 6 Processors" was published by researchers at Micron and Intel. Abstract "High-Performance Computing (HPC) and Artificial Intelligence (AI) workloads typically demand substantial memory bandwidth and, to a degree, memory capacity. CXL memory expansion modules, also known... » read more

Chiplet-Based NPUs to Accelerate Vehicular AI Perception Workloads
By Technical Paper Link - 02 Dec, 2024 - Comments: 0

A new technical paper titled "Performance Implications of Multi-Chiplet Neural Processing Units on Autonomous Driving Perception" was published by researchers at UC Irvine. Abstract "We study the application of emerging chiplet-based Neural Processing Units to accelerate vehicular AI perception workloads in constrained automotive settings. The motivation stems from how chiplets technology i... » read more

STCO for Dense Edge Architectures using 3D Integration and NVM (imec,, et al.)
By Technical Paper Link - 27 Nov, 2024 - Comments: 0

A new technical paper titled "System-Technology Co-Optimization for Dense Edge Architectures using 3D Integration and Non-Volatile Memory" was published by researchers at imec, INESC-ID, Université Libre de Bruxelles, et al. "In this paper, we present an system-technology co-optimization (STCO) framework that interfaces with workload-driven system scaling challenges and physical design-enab... » read more

Critical Design Considerations For High-Bandwidth Chiplet Interconnects (TSMC)
By Technical Paper Link - 26 Nov, 2024 - Comments: 0

A new technical paper titled "High-Bandwidth Chiplet Interconnects for Advanced Packaging Technologies in AI/ML Applications: Challenges and Solutions" was published by researchers at TSMC. Abstract: "The demand for chiplet integration using 2.5D and 3D advanced packaging technologies has surged, driven by the exponential growth in computing performance required by Artificial Intelligence a... » read more

Pooling CPU Memory for LLM Inference With Lower Latency and Higher Throughput (UC Berkeley)
By Technical Paper Link - 26 Nov, 2024 - Comments: 0

A new technical paper titled "Pie: Pooling CPU Memory for LLM Inference" was published by researchers at UC Berkeley. Abstract "The rapid growth of LLMs has revolutionized natural language processing and AI analysis, but their increasing size and memory demands present significant challenges. A common solution is to spill over to CPU memory; however, traditional GPU-CPU memory swapping ofte... » read more

Backpropagation Algorithm On Neuromorphic Spiking HW (U. Of Zurich, ETH Zurich, LANL)
By Technical Paper Link - 25 Nov, 2024 - Comments: 0

A new technical paper titled "The backpropagation algorithm implemented on spiking neuromorphic hardware" was published by University of Zurich, ETH Zurich, Los Alamos National Laboratory, Royal Institution, London, et al. "This study presents a neuromorphic, spiking backpropagation algorithm based on synfire-gated dynamical information coordination and processing implemented on Intel’s Lo... » read more

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