Blog Review: Jan. 16

FPGAs adopt formal; RISC-V cores; the importance of seals.


Mentor’s Harry Foster takes a look at how quickly FPGAs are adopting recent verification techniques, with formal gaining at a rapid pace.

Cadence’s Paul McLellan checks out the details of two new RISC-V based cores: Western Digital’s open source SweRV and Esperanto’s Maxion.

Synopsys’ Taylor Armerding digs into a recent cybersecurity report from the U.S. government and finds a troubling number of recommendations have not been implemented.

SEMI’s Paul Trio explains why seals are a critical component of fab equipment and the importance of having a standardized way of testing and handling them.

ANSYS’ Kishor Ramaswamy argues that thermal cameras will be an important tool to ensure autonomous vehicles sense the environment more completely in dark or foggy conditions.

Arm’s Zach Lasiuk shares a method for speeding up embedded software regression testing with Mbed OS using virtual platforms.

Intel’s Haim Barad and Hanlin Tang propose a way to optimize convolutional neural network performance by determining if a problem is complex or simple and can be terminated early.

Nvidia’s Isha Salian points to an effort to improve medical care at a Rohingya refugee camp with the help of an AI-powered diagnostic app for skin conditions.

Don’t miss the blogs featured in the latest IoT, Security & Automotive and Packaging, Test & Materials newsletters:

Editor In Chief Ed Sperling contends that how and where data gets scrubbed will have significant consequences.

Rambus’ Paul Karazuba explains key elements of a comprehensive IoT security solution.

Mentor’s Andrew Macleod looks at how the mobility market is transitioning from mostly off-the-shelf sensors to bespoke solutions.

Flex Logix’s Geoff Tate poses some questions to ask in assessing AI hardware performance.

Synopsys’ Krishna Balachandran describes how scaling poses a challenge for some one-time programmable technologies.

Arteris IP’s Kurt Shuler warns that regular topologies, large chips, and huge bandwidths are considerations in AI-centric chips in the data center.

Editor In Chief Ed Sperling contends that it’s not clear yet what we’re trying to accomplish in testing AI systems.

Brewer Science’s Terry Brewer argues that to make the best use of AI you must understand its limitations.

Advantest’s Judy Davies looks at why 5G is the ‘next big thing’ that will drive growth in a wide range of markets.

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