Week In Review: Design, Low Power


Tools, IP, design Codasip launched a new organization within the company to support the development and commercialization of technical innovations in key applications including security, functional safety, and AI/ML. "As semiconductor scaling is showing its limits, there is an obvious need for new ways of thinking. We will be working with universities, research institutes and strategic partner... » read more

Week In Review: Auto, Security, Pervasive Computing


Pervasive computing Swedish-based Ericsson is selling its IoT business platform to Aeris for an undisclosed amount. Ericsson will transfer its IoT Accelerator and Connected Vehicle Cloud businesses and assets to Aeris, a company that focuses on industrial, automotive, and medical IoT networks. The complexity and fragmentation of the IoT space requires more custom and hands on maintenance. Acco... » read more

AI Feeds Vision Processor, Image Sensor Boom


Vision systems are rapidly becoming ubiquitous, driven by big improvements in image sensors as well as new types of sensors. While the sensor itself often is developed using mature-node silicon, increasingly it is connected to vision processors developed at the most advanced process nodes. That allows for the highest performance per watt, and it also allows designs to incorporate AI accelera... » read more

Complex Tradeoffs In Inferencing Chips


Designing AI/ML inferencing chips is emerging as a huge challenge due to the variety of applications and the highly specific power and performance needs for each of them. Put simply, one size does not fit all, and not all applications can afford a custom design. For example, in retail store tracking, it's acceptable to have a 5% or 10% margin of error for customers passing by a certain aisle... » read more

Heterogenous Integration Creating New IP Opportunities


The design IP market has long been known for constant change and evolution, but the industry trend toward heterogenous integration and chiplets is creating some new challenges and opportunities. Companies wanting to stake out a claim in this area have to be nimble, because there will be many potential standards introduced, and they are likely to change quickly as the industry explores what is r... » read more

Using AI To Speed Up Edge Computing


AI is being designed into a growing number of chips and systems at the edge, where it is being used to speed up the processing of massive amounts of data, and to reduce power by partitioning and prioritization. That, in turn, allows systems to act upon that data more rapidly. Processing data at the edge rather than in the cloud provides a number of well-documented benefits. Because the physi... » read more

MIPI In Next Generation Of AI IoT Devices At The Edge


The history of data processing begins in the 1960’s with centralized on-site mainframes that later evolved into distributed client servers. In the beginning of this century, centralized cloud computing became attractive and began to gain momentum becoming one of the most popular computing tools today. In recent years however, we have seen an increase in the demand for processing... » read more

Blog Review: July 13


Siemens' John Sturtevant finds that the patterning requirements of next generation lithographic processes have pushed lithographers to explore the advantages of curvilinear masks, and notes some of the tools coming along to help. Cadence's Paul McLellan learns from Kyle Chen of Microsoft and Suomin Cui of Cadence how deep learning and electromagnetic solvers can be used to optimize high-dens... » read more

IP Industry Transformation


The design IP industry is developing an assortment of new options and licensing schemes that could affect everything from how semiconductor companies collaborate to how ICs are designed, packaged, and brought to market. The IP market already has witnessed a sweeping shift from a "design once, use everywhere" approach, to an "architect once, customize everywhere" model, in which IP is highly ... » read more

Week In Review: Design, Low Power


Arm unveiled the Arm Cortex-M85 processor and expanded Arm Virtual Hardware to more platforms, including 3rd party devices. The Cortex-M85 is the highest performance Cortex-M processor to date, with 30% scalar performance uplift compared to the Cortex-M7, technology to support endpoint ML and DSP workloads, and includes Pointer Authentication and Branch Target Identification (PACBTI), a new arc... » read more

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