Accellera begins IP security-assurance standards effort
Accellera Systems Initiative has begun a project that may result in the creation of a standard to address security assurance for semiconductor IP cores.
Author Archives: Chris Edwards
Cadence and Imec tape out 3nm interconnect test chip
Cadence and Imec have worked together on a project to tape out a test chip to explore manufacturing and design-rule options for the interconnect on future 3nm processes.
Accellera publishes beta portable-stimulus proposal
The Accellera Portable Stimulus Working Group has released for public review its current proposal for the verification standard it is working on.
55th DAC features design contest to build smarter drones
June's DAC will see the culmination of a contest involving more than 100 teams vying to demonstrate the best use of machine learning on embedded hardware in a flying drone.
Mentor framework pulls devices into the cloud
With the aim of making it easier for embedded devices to cooperate in an IoT environment, Mentor has launched a cloud connectivity and management framework.
Neural networks and vector processors deployed by Ceva for 5G handsets
Ceva has decided to include neural network, vector processing and customized instruction sets in an IP platform for 5G NR terminals.
Arm to push integrated SIM for secure IoT
Arm plans to use its cryptography cores and technology from its Simulity Labs acquisition to SIM-based security into IoT devices.
Bulk transistor design aims for near-threshold power cuts
Semiwise, a startup founded by University of Glasgow professor Asen Asenov and former CEO of Gold Standard Simulations (GSS), has developed a low-power CMOS transistor technology suitable for ultralow-power sensor nodes.
FPGA powers custom RF tests on low-cost module
Slovenian startup Red Pitaya has added a front-end module and firmware to its FPGA-based StemLab board to create a customizable vector network analyzer (VNA) and RF tester.
Arm readying AI processor to catch up with ‘surprising’ demand
By the middle of this year Arm intends to deliver a processor designed specifically for deep-learning pipelines in edge devices, to capitalize on a move away from cloud computing for image and voice recognition.