tag: edge devices

Chip Industry Week In Review
By The SE Staff - 25 Oct, 2024 - Comments: 0

Europe's top court ruled in Intel's favor, voiding a $1.1 billion fine imposed by the European Union and dismissing charges of anti-competitive behavior. IBM released yield benchmarks for high-NA EUV, which serve as proof points that the newest advanced litho equipment will enable scaling beyond the 2nm process node. Also on the lithography front, Nikon is developing a maskless digital litho... » read more

Edge Devices Require New Security Approaches
By Adam Kovac - 29 Aug, 2024 - Comments: 0

The diversity of connected devices and chips at the edge — the vaguely defined middle ground between the end point and the cloud — is significantly widening the potential attack surface and creating more opportunities for cyberattacks. The edge build-out has been underway for at least the past half-decade, largely driven by an explosion in data and increasing demands to process that data... » read more

Specialization Vs. Generalization In Processors
By Brian Bailey - 10 Aug, 2023 - Comments: 1

Academia has been looking at specialization for many years, but solutions were rejected because general-purpose solutions were advancing fast enough to keep up with most application requirements. That is no longer the case. The introduction and support of the RISC-V processor architecture has attracted a lot of attention, but whether that is the right direction for the majority of modern comput... » read more

Leveraging Large Language Models (LLMs) To Perform SW-HW Co-Design
By Technical Paper Link - 28 Jun, 2023 - Comments: 0

A technical paper titled “On the Viability of using LLMs for SW/HW Co-Design: An Example in Designing CiM DNN Accelerators” was published by researchers at University of Notre Dame. Abstract: "Deep Neural Networks (DNNs) have demonstrated impressive performance across a wide range of tasks. However, deploying DNNs on edge devices poses significant challenges due to stringent power and com... » read more

Review of Tools & Techniques for DL Edge Inference
By Technical Paper Link - 16 Feb, 2023 - Comments: 0

A new technical paper titled "Efficient Acceleration of Deep Learning Inference on Resource-Constrained Edge Devices: A Review" was published in "Proceedings of the IEEE" by researchers at University of Missouri and Texas Tech University. Abstract: Successful integration of deep neural networks (DNNs) or deep learning (DL) has resulted in breakthroughs in many areas. However, deploying thes... » read more

Using Silicon Photonics To Reduce Latency On Edge Devices
By Technical Paper Link - 26 Oct, 2022 - Comments: 0

A new technical paper titled "Delocalized photonic deep learning on the internet’s edge" was published by researchers at MIT and Nokia Corporation. “Every time you want to run a neural network, you have to run the program, and how fast you can run the program depends on how fast you can pipe the program in from memory. Our pipe is massive — it corresponds to sending a full feature-leng... » read more

Training a ML model On An Intelligent Edge Device Using Less Than 256KB Memory
By Technical Paper Link - 11 Oct, 2022 - Comments: 0

A new technical paper titled "On-Device Training Under 256KB Memory" was published by researchers at MIT and MIT-IBM Watson AI Lab. “Our study enables IoT devices to not only perform inference but also continuously update the AI models to newly collected data, paving the way for lifelong on-device learning. The low resource utilization makes deep learning more accessible and can have a bro... » read more

64-Bit RISC-V Microprocessor Delivers New Options For IoT Edge Development
By Renesas - 21 Sep, 2022 - Comments: 0

Global and rapidly expanding IoT edge devices are becoming increasingly important for connecting various sensors to the cloud via networks. IoT edge devices are progressively integrating 64-bit microprocessors capable of running Linux and similar high-performance operating systems. Moreover, recent import and export regulation changes have produced a need for choices in CPU architecture for mic... » read more

Implementations of 2D Material-Based Devices For IoT Security
By Technical Paper Link - 14 Sep, 2022 - Comments: 0

A new research paper titled "Application of 2D Materials in Hardware Security for Internet-of-Things: Progress and Perspective" was published by researchers at National University of Singapore and A*STAR. The paper explores the "implementation of hardware security using 2D materials, for example, true random number generators (TRNGs), physical unclonable functions (PUFs), camouflage, and ant... » read more

Novel In-Pixel-in-Memory (P2M) Paradigm for Edge Intelligence (USC)
By Technical Paper Link - 24 Aug, 2022 - Comments: 0

A new technical paper titled "A processing-in-pixel-in-memory paradigm for resource-constrained TinyML applications" was published by researchers at University of Southern California (USC). According to the paper, "we propose a novel Processing-in-Pixel-in-memory (P2M) paradigm, that customizes the pixel array by adding support for analog multi-channel, multi-bit convolution, batch normaliza... » read more

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