tag: edge

Reliability Concerns Shift Left Into Chip Design
By Ann Mutschler - 22 Dec, 2021 - Comments: 1

Demand for lower defect rates and higher yields is increasing, in part because chips are now being used for safety- and mission-critical applications, and in part because it's a way of offsetting rising design and manufacturing costs. What's changed is the new emphasis on solving these problems in the initial design. In the past, defectivity and yield were considered problems for the fab. Re... » read more

Flexible USB4-Based Interface IP Solution For AI At The Edge
By Synopsys - 21 Dec, 2021 - Comments: 0

Consumers have become accustomed to smart devices that are powered by advances in artificial intelligence (AI). To expand the devices’ total addressable market, innovative device designers build edge AI accelerators and edge AI SoCs that support multiple use cases and integration options. This white paper describes a flexible USB4-based IP solution for edge AI accelerators and SoCs. The IP so... » read more

Seeking Scale, Semiconductor Companies Embrace IoT Framework
By Mohamed Awad - 11 Nov, 2021 - Comments: 0

Fragmentation has long been the IoT’s greatest impediment. Even before the "Internet of Things" entered popular lexicon, infinite opportunity had turned into infinite complexity as companies raced to deliver solutions without any common technological framework or set of standards that might have ensured that software could be ported between technologies or hardware platforms. To bring orde... » read more

Easier And Faster Ways To Train AI
By Bryon Moyer - 04 Nov, 2021 - Comments: 0

Training an AI model takes an extraordinary amount of effort and data. Leveraging existing training can save time and money, accelerating the release of new products that use the model. But there are a few ways this can be done, most notably through transfer and incremental learning, and each of them has its applications and tradeoffs. Transfer learning and incremental learning both take pre... » read more

Deploying Artificial Intelligence At The Edge
By Pushkar Apte - 16 Sep, 2021 - Comments: 0

By Pushkar Apte and Tom Salmon Rapid advances in artificial intelligence (AI) have made this technology important for many industries, including finance, energy, healthcare, and microelectronics. AI is driving a multi-trillion-dollar global market while helping to solve some tough societal problems such as tracking the current pandemic and predicting the severity of climate-driven events lik... » read more

Securing The IoT Begins With Zero-Touch Provisioning At Scale
By Infineon - 04 Aug, 2021 - Comments: 0

The path to secured IoT deployments starts with a hardware root-of-trust at the device level, a simple concept that belies the complexity of managing a chain of trust that extends from every edge device to the core of the network. The solution to this management challenge, based on a coordinated effort of domain experts, is a zero touch “chip-to-cloud” provisioning service for certificates-... » read more

For The Edge, It’s All About Location, Location, Location
By Eddie Ramirez - 08 Jul, 2021 - Comments: 0

They are centrally located, are connected to power grids and water systems, and are rapidly thinning out. And you can probably get a new cell phone case or a corn dog in the atrium. Could shopping malls become a future home for the edge? Edge computing has transformed over the last few years from being a vaguely defined concept to a fundamental part of the future data infrastructure. Band... » read more

Challenges Of Edge AI Inference
By Vinay Mehta - 01 Jul, 2021 - Comments: 0

Bringing convolutional neural networks (CNNs) to your industry—whether it be medical imaging, robotics, or some other vision application entirely—has the potential to enable new functionalities and reduce the compute requirements for existing workloads. This is because a single CNN can replace more computationally expensive image processing, denoising, and object detection algorithms. Howev... » read more

Challenges In Developing A New Inferencing Chip
By Ed Sperling - 01 Jul, 2021 - Comments: 0

Cheng Wang, co-founder and senior vice president of software and engineering at Flex Logix, sat down with Semiconductor Engineering to explain the process of bringing an inferencing accelerator chip to market, from bring-up, programming and partitioning to tradeoffs involving speed and customization.   SE: Edge inferencing chips are just starting to come to market. What challenges di... » read more

ACAP At The Edge With The Versal AI Edge Series
By Xilinx - 30 Jun, 2021 - Comments: 0

This white paper introduces the AI Edge series to the Versal ACAP portfolio, a domain-specific architecture (DSA) that meets the strenuous demands of systems implemented in the 7nm silicon process. This series is optimized to meet the performance-per-watt requirements of edge nodes at or near the analog-digital boundary. Here, immediate response to the physical world is highly valued, and in ma... » read more

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