tag: edge computing

Are You Ready For AI?
By Brian Fuller - 10 Apr, 2025 - Comments: 0

The semiconductor industry sits at the heart of the artificial intelligence revolution, providing the essential computational foundation that powers AI's rapid evolution. However, new research suggests that while AI adoption is accelerating globally, strategic implementation remains a significant challenge across industries. According to the recently released Arm AI Readiness Index Report, 8... » read more

Transforming The Semiconductor Industry: Future Roadmap For Generative AI On The Edge
By Expedera - 09 Apr, 2025 - Comments: 0

In the third of a three-part series, Expedera, in conjunction with the Global Semiconductor Alliance’s Emerging Technologies (EmTech) group explores “Transforming the Semiconductor Industry: Future Roadmap for Generative AI on the Edge”. This white paper explores key applications for Generative AI and the features they enable, as well as an examination of how model growth and differing mo... » read more

Adaptive RISC-V Cache Architecture for Near-Memory Extensions (Politecnico di Torino, EPFL)
By Technical Paper Link - 04 Apr, 2025 - Comments: 0

A new technical paper titled "ARCANE: Adaptive RISC-V Cache Architecture for Near-memory Extensions" was published by researchers at Politecnico di Torino and EPFL. Abstract "Modern data-driven applications expose limitations of von Neumann architectures - extensive data movement, low throughput, and poor energy efficiency. Accelerators improve performance but lack flexibility and require... » read more

Changes In Motor Control
By Ed Sperling - 17 Mar, 2025 - Comments: 0

Motors are changing in fundamental ways, and you can actually hear the difference. Vacuums, air conditioners, and home appliances are getting quieter. They're also becoming more efficient, able to last longer on a single battery charge or drawing less energy from the grid, and they're becoming more secure. Steve Tateosian, senior vice president for Infineon's IoT, Compute & Wireless Busines... » read more

Unlocking Generative AI On The Edge Across The Semiconductor Value Chain
By Expedera - 12 Mar, 2025 - Comments: 0

In the second of a three-part series, Expedera, in conjunction with the Global Semiconductor Alliance’s Emerging Technologies (EmTech) group, explores “Unlocking Generative AI on the Edge across the Semiconductor Value Chain”. Included in this white paper is an examination of how members of the value chain (including IP providers, EDA vendors, fabless chip makers, foundries, OSATs, OEMs, ... » read more

The Impact of Generative AI on the Edge for the Semiconductor Industry
By Expedera - 12 Feb, 2025 - Comments: 0

In the first of a three-part series, Expedera, in conjunction with the Global Semiconductor Alliance’s Emerging Technologies (EmTech) group, explores “The Impact of Generative AI on the Edge for the Semiconductor Industry”. In this white paper, the working group explores the evolution of Generative AI (GenAI), and how the rapidly evolving semiconductor industry can enable GenAI innovation... » read more

AI Drives IC Design Shifts At The Edge
By Adam Kovac and Ed Sperling - 07 Nov, 2024 - Comments: 0

The increasing adoption of AI in edge devices, coupled with a growing demand for new features, is forcing chipmakers to rethink when and where data gets processed, what kind of processors to use, and how to build enough flexibility into systems to span multiple markets. Unlike in the cloud, where the solution generally involves nearly unlimited resources, computing at the edge has sharp cons... » 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

Evolving Edge Computing And Harnessing Heterogeneity
By Alexandre Ferreira - 12 Sep, 2024 - Comments: 0

In the Evolving Edge Computing white paper, we highlighted 3 challenges to enable the Intelligent Edge, they are: Enabling hardware heterogeneity Removing development friction Ensuring security at scale This blog post examines the first in that list, heterogeneity. It will cover the ways in which heterogeneity appears, its effect on systems and some ideas for resolving its inher... » read more

A Software-First Mindset for Driving Efficiency and Sustainability for Industrial IoT
By Arm - 07 Aug, 2024 - Comments: 0

Schneider Electric, Arm, and system integrators Witekio and Capgemini have produced a software-defined platform for industrial automation and energy management. The platform uses cloud-native techniques to create a flexible, energy-efficient reference design that uses virtualization to enable real-time, mixed-criticality services at the embedded edge. Read more here. » read more

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