machine learning

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.

Ceva has decided to include neural network, vector processing and customized instruction sets in an IP platform for 5G NR terminals.

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.

Traditional functional coverage has run out of steam and novel methods to improve the understanding of what tests are doing are needed to make progress. That is the view of Greg Smith, director of verification innovation and methodology improvement at Oracle.

A new version of automotive safety standard ISO 26262 is due in 2018 but how close to Level 5 autonomy will it actually take us? And what about security?

Will discuss how automotive OEMs and chip designers can use AI, deep learning, and convolutional neural networks to achieve better performance than traditional techniques.

Solido acquisition will also add further machine learning expertise to Mentor's capabilities.

Machine learning is among the focus topics at next year's Symposia on VLSI Technology & Circuits in Honolulu, which has issued its call for papers.

Synopsys experts are now blogging about key issues in formal verification - how to use it, which techniques to apply, and the effort/reward ratio of doing so.

A year on from the last Computex and the launch of the Cortex-A73 and Mali-G71, ARM has launched a new trio of processors aimed not just at smartphones this time but servers and driver-assistance systems.