tag: DNN

Scaling Open-Source HW Accelerator for Deep NN Inference (UDE, Fraunhofer IMS)
By Technical Paper Link - 02 Jun, 2026 - Comments: 0

Researchers from University of Duisburg-Essen and Fraunhofer Institute for Microelectronic Circuits and Systems have published “OpenEye: A Scalable Open-Source Hardware Accelerator for DNNs”. Abstract “The increasing computational complexity of deep neural network inference poses significant challenges for efficient hardware acceleration on embedded platforms, particularly with respect ... » read more

Accelerator Architecture: Fusion-Aware Mapper (MIT)
By Technical Paper Link - 22 Feb, 2026 - Comments: 0

Researchers from MIT published "Fast and Fusiest: An Optimal Fusion-Aware Mapper for Accelerator Modeling and Evaluation." Abstract "The latency and energy of tensor algebra accelerators depend on how data movement and operations are scheduled (i.e., mapped) onto accelerators, so determining the potential of an accelerator architecture requires both a performance model and a mapper to sea... » read more

Co-Simulation Framework for Parallel DNN Execution on Chiplet-Based Systems (UW–Madison, Washington State)
By Technical Paper Link - 03 Nov, 2025 - Comments: 0

A new technical paper titled "CHIPSIM: A Co-Simulation Framework for Deep Learning on Chiplet-Based Systems" was published by researchers at University of Wisconsin–Madison and Washington State University. Abstract "Due to reduced manufacturing yields, traditional monolithic chips cannot keep up with the compute, memory, and communication demands of data-intensive applications, such as ra... » read more

Machine Intelligence on Wireless Edge Networks with RF Analog Architecture (MIT, Duke)
By Technical Paper Link - 21 Jun, 2025 - Comments: 0

A new technical paper titled "Machine Intelligence on Wireless Edge Networks" was published by researchers at MIT and Duke University. Abstract "Deep neural network (DNN) inference on power-constrained edge devices is bottlenecked by costly weight storage and data movement. We introduce MIWEN, a radio-frequency (RF) analog architecture that "disaggregates" memory by streaming weights wirele... » read more

Hardware Acceleration Approach for KAN Via Algorithm-Hardware Co-Design
By Technical Paper Link - 26 Sep, 2024 - Comments: 2

A new technical paper titled "Hardware Acceleration of Kolmogorov-Arnold Network (KAN) for Lightweight Edge Inference" was published by researchers at Georgia Tech, TSMC and National Tsing Hua University. Abstract "Recently, a novel model named Kolmogorov-Arnold Networks (KAN) has been proposed with the potential to achieve the functionality of traditional deep neural networks (DNNs) using ... » read more

DL Compiler for Efficiently Utilizing Inter-Core Connected AI Chips (UIUC, Microsoft)
By Technical Paper Link - 28 Aug, 2024 - Comments: 0

A new technical paper titled "Scaling Deep Learning Computation over the Inter-Core Connected Intelligence Processor" was published by researchers at UIUC and Microsoft Research. Abstract "As AI chips incorporate numerous parallelized cores to scale deep learning (DL) computing, inter-core communication is enabled recently by employing high-bandwidth and low-latency interconnect links on th... » read more

Survey of Energy Efficient PIM Processors
By Technical Paper Link - 01 Aug, 2024 - Comments: 0

A new technical paper titled "Survey of Deep Learning Accelerators for Edge and Emerging Computing" was published by researchers at University of Dayton and the Air Force Research Laboratory. Abstract "The unprecedented progress in artificial intelligence (AI), particularly in deep learning algorithms with ubiquitous internet connected smart devices, has created a high demand for AI compu... » read more

Insights From The AI Hardware & Edge AI Summit
By Ashish Darbari - 25 Jul, 2024 - Comments: 0

By Ashish Darbari, Fabiana Muto, and Nicky Khodadad In today's rapidly changing technology landscape, artificial intelligence (AI) is more than a buzzword. It is transforming businesses and societies. From advances in scalable AI methodology to urgent calls for sustainability, the AI Hardware & Edge AI Summit recently held in London, sparked vibrant discussions that will determine the fu... » read more

On-Device Speaker Identification For Digital Television (DTV)
By Marcus Corbin - 18 Jul, 2024 - Comments: 0

In recent years, the way we interact with our TVs has changed. Multiple button presses to navigate an on-screen keyboard have been replaced with direct interaction through our voices. While this has resulted in significant improvements to the Digital Television (DTV) user experience, more can be done to provide immersive and engaging experiences. Imagine you say, “recommend me a film” or... » read more

Using Deep Learning ADC For Defect Classification For Automatic Defect Inspection
By Onto Innovation - 14 May, 2024 - Comments: 0

In traditional semiconductor packaging, manual defect review after automated optical inspection (AOI) is an arduous task for operators and engineers, involving review of both good and bad die. It is hard to avoid human errors when reviewing millions of defect images every day, and as a result, underkill or overkill of die can occur. Automatic defect classification (ADC) can reduce the number of... » read more

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