Blog Review: Jan. 8


Synopsys' Taylor Armerding digs into the privacy and security concerns surrounding connected toys and argues that the current practice of consumers bearing much of the burden to determine what is safe is not viable. In a podcast, Mentor's John McMillan looks back at the past decade in technology and what the next may hold in store as areas like AI and automotive get going. Cadence's Madha... » read more

What Worked, What Didn’t In 2019


2019 has been a tough year for semiconductor companies from a revenue standpoint, especially for memory companies. On the other hand, the EDA industry has seen another robust growth year. A significant portion of this disparity can be attributed to the number of emerging technology areas for semiconductors, none of which has reached volume production yet. Some markets continue to struggle, a... » read more

MLPerf Benchmarks


Geoff Tate, CEO of Flex Logix, talks about the new MLPerf benchmark, what’s missing from the benchmark, and which ones are relevant to edge inferencing. » read more

Week In Review: Manufacturing, Test


Chipmakers United Microelectronics Corp. (UMC) has announced the readiness of its new 22nm process. The process enables new 22nm designs or allows customers to migrate from 28nm to 22nm. UMC’s 22nm maintains its existing 28nm design architectures. UMC's 22nm process features a 10% area reduction, better power-to-performance ratio and enhanced RF capabilities, compared to the company’s 2... » read more

Week In Review: IoT, Security, Auto


Internet of Things SiFive is bringing RISC-V to IoT makers and university developers through the RISC-V-based SiFive Learn Initiative, an open-source learning package that can be used to create a low-cost RISC-V hardware compatible with AWS IoT Core. The development platform SiFive Learn Inventor has a software package and education enablement course. It includes: The programmable SiFive Lear... » read more

Where Is The Edge AI Market And Ecosystem Headed?


Until recently, most AI was in datacenters and most was training. Things are changing quickly. Projections are AI sales will grow rapidly to $10s of billions by the mid 2020s, with most of the growth in Edge AI Inference. Edge inference applications Where is the Edge Inference market today? Let’s look at the markets from highest throughput to lowest. Edge Servers Recently Nvidia annou... » read more

Blog Review: Dec. 4


Arm's Rupal Gandhi digs into the Cell-Aware Test methodology to deterministically target the growing number of defects that occur within the cells, the process of CAT library generation, and compares the static and transition patterns generated. Cadence's Paul McLellan shares highlights from the recent WOSET event with a look at the big drivers for the current interest in open-source EDA too... » read more

Using FPGAs For AI


Artificial intelligence (AI) and machine learning (ML) are progressing at a rate that is outstripping Moore's Law. In fact, they now are evolving faster than silicon can be designed. The industry is looking at all possibilities to provide devices that have the necessary accuracy and performance, as well as a power budget that can be sustained. FPGAs are promising, but they also have some sig... » read more

Blog Review: Nov. 27


Arm's Ben Fletcher digs into what's needed to make wireless 3D integration a reality from a tool to automate the design and optimization process for inductors used in wireless 3D-ICs to exploring how the data can be encoded in the transceiver to reduce power consumption. Cadence's Paul McLellan listens in as Eli Singerman of Intel explains the importance of platform security and why firmware... » read more

Revving Up For Edge Computing


The edge is beginning to take shape as a way of limiting the amount of data that needs to be pushed up to the cloud for processing, setting the stage for a massive shift in compute architectures and a race among chipmakers for a stake in a new and highly lucrative market. So far, it's not clear which architectures will win, or how and where data will be partitioned between what needs to be p... » read more

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