Options Widen For Optimizing IoT Designs


Creating a successful IoT design requires a deep understanding of the use cases, and a long list of tradeoffs among various components and technologies to provide the best solution at the right price point. Maximizing features and functions while minimizing costs is an ongoing balancing act, and the number of choices can be overwhelming. The menu includes SoC selection, OS and software proto... » read more

Manufacturing Shifts To AI Of Things


AI is being infused into the Internet of Things, setting the stage for significant improvements in manufacturing productivity, improved uptime, and reduced costs — regardless of market segment. The traditional approach to improving manufacturing equipment reliability and efficiency is regular scheduled maintenance. While that is an improvement over just fixing or replacing equipment when i... » read more

Week In Review: Design, Low Power


Infineon Technologies acquired Syntronixs Asia, which specializes in precision electroplating, a key process in the assembly process of semiconductors. Syntronixs Asia has a workforce of more than 500 people and has been a major service provider for Infineon since 2009. “Through this acquisition, we have made another important step to strengthen the resilience of our supply chain,” said Tho... » read more

Week In Review: Auto, Security, Pervasive Computing


Automotive The U.S. Federal Trade Commission (FTC) sued Nvidia to block the company’s $40 billion acquisition of Arm. The FTC said in a press statement that “the proposed vertical deal would give one of the largest chip companies control over the computing technology and designs that rival firms rely on to develop their own competing chips. … the combined firm would have the means and in... » read more

Massive IoT Interop Fuels Protocol Battle


Wireless standards are plentiful, but most are not capable of being scaled to the level of a smart city. As a result, such networks have been built application-by-application using proprietary stacks, often with non-interoperable network layers. That, in turn, has slowed the proliferation of dense wireless connectivity at scale. “In a hyper-connected world, connectivity choices are driv... » read more

IoT Security: Confusing And Fragmented


Security regulations for Internet-of-Things (IoT) devices are evolving around the world, but there is no consistent set of requirements that can be applied globally — and there may never be. What exists today is a patchwork of certification labs and logos. That makes it difficult for IoT-device designers to know where to get their security blessed. Unlike in data centers, where there is a ... » read more

Week In Review: Manufacturing, Test


Chipmakers and OEMs Several foundry vendors are building new fabs. The memory vendors, such as Samsung and SK Hynix, are also building new capacity. In another example, Taiwan DRAM supplier Nanya Technology plans to construct a new 300mm fab in the Taishan Nanlin Technology Park in New Taipei City. The plant will produce DRAMs with Nanya’s in-house developed 10nm-class process technologies a... » read more

Week In Review: Design, Low Power


Skyworks Solutions will acquire Silicon Labs' Infrastructure & Automotive (I&A) business for $2.75 billion cash. The transaction includes Silicon Labs' power/isolation, timing and broadcast products, intellectual property, and approximately 350 employees. Silicon Labs said it will focus on its IoT business, which includes integrated hardware and software wireless platforms for multiple ... » read more

Adding Value To Open-Source RISC-V Cores With Verification


By Steve Richmond (Silicon Labs), Mike Thompson (OpenHW Group), and Lee Moore (Imperas Software) Modern SoC verification has matured to the point that some are suggesting the use of the word ‘prototype’ when referring to the first silicon samples is now unnecessary. This is due in part to the commercial EDA industry, which has provided the innovation and tools used throughout the design... » read more

Blog Review: March 31


Arm's Pavel Rudko considers several common approaches used to get better performance for neural network inference on mobile devices, such as optimizing and pruning the model and using different processing units to execute different workloads in parallel. Siemens EDA's Ray Salemi introduces basic concepts of using Python for verification and how to get Python to talk to an RTL device-under-te... » read more

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