Artificial Intelligence | News | Insights | AiThority
[bsfp-cryptocurrency style=”widget-18″ align=”marquee” columns=”6″ coins=”selected” coins-count=”6″ coins-selected=”BTC,ETH,XRP,LTC,EOS,ADA,XLM,NEO,LTC,EOS,XEM,DASH,USDT,BNB,QTUM,XVG,ONT,ZEC,STEEM” currency=”USD” title=”Cryptocurrency Widget” show_title=”0″ icon=”” scheme=”light” bs-show-desktop=”1″ bs-show-tablet=”1″ bs-show-phone=”1″ custom-css-class=”” custom-id=”” css=”.vc_custom_1523079266073{margin-bottom: 0px !important;padding-top: 0px !important;padding-bottom: 0px !important;}”]

CEVA Adds ONNX Support to CDNN Neural Network Compiler

Open Neural Network Exchange (ONNX) support in latest CDNN release enables neural networks trained in various deep learning frameworks to be seamlessly deployed on CEVA-XM Vision DSPs and NeuPro AI processors

CEVA, Inc. the leading licensor of signal processing platforms and artificial intelligence processors for smarter, connected devices, announced that the latest release of its award-winning CEVA Deep Neural Network (CDNN) compiler supports the Open Neural Network Exchange (ONNX) format.

Read More:  AI Healthcare Network In India Gets Massive Boost with Microsoft-Apollo Collaboration

“CEVA is fully committed to ensuring an open, interoperable AI ecosystem, where AI application developers can take advantage of the features and ease-of-use of the various deep learning frameworks most suitable to their specific use case,” said Ilan Yona, vice president and general manager of CEVA’s Vision Business Unit. “By adding ONNX support to our CDNN compiler technology, we provide our CEVA-XM and NeuPro customers and ecosystem partners with much broader capabilities to train and enrich their neural network-based applications.”

Read More: Interview with David Sikora, Chief Executive Officer at ALTR

Leave A Reply

Your email address will not be published.