by Karl Freund | Mar 23, 2022 | In the News
On-device training capability would enhance the user experience while protecting privacy. We’ve all had those frustrating experiences with our mobile phones when the voice assistant seems to possess artificial stupidity instead of artificial intelligence. The real...
by Karl Freund | Mar 14, 2022 | Video
On-device continual learning could transform AI applications and personalization. Joseph Soriaga, of Qualcomm Technologies, talks about what is at stake and how it might be accomplished. More Cambrian-AI Visions Video Interviews Synopsys’ Aart de Geus discusses...
by Karl Freund | Nov 1, 2021 | In the News
Every AI hardware startup begins at square one: design a novel architecture to accelerate deep neural network training and inference processing. Some focus on training, where performance is king, where even price is a secondary consideration in these early days of AI....
by Karl Freund | Oct 5, 2021 | In the News
Qualcomm not only bested the entire field for power efficiency, a 16-card server was the fastest tested. Qualcomm, perhaps best known for its leadership Snapdragon mobile platform, has further enhanced its AI bona fides with V1.1 MLPerf inference benchmark suite...
by Karl Freund | Sep 13, 2021 | In the News
Qualcomm software supports multiple hardware accelerators in both Snapdragon and Cloud implementations, while making it easy for developers. We have taken a deeper look into the software that makes Snapdragon the best AI for mobile devices and enables the Cloud AI100...
