From VentureBeat, October 22:
Arm aims to take machine learning to mainstream and low-end devices with the launch of its new neural processing units (NPUs).
The company is unveiling the Ethos-N57 and Ethos-N37 NPUs, which it will license to chipmakers who can integrate it into their products. The idea is to extend the range of Arm machine learning (ML) processors to enable artificial intelligence (AI) applications in mainstream devices.
The company also unveiled the Mali-G57 graphics processing unit (GPU). This is the first mainstream Valhall architecture-based GPU, delivering 1.3 times better performance over previous generations.....MORE
And Arm is unveiling the Mali-D37 display processing unit (DPU), which delivers a rich display feature set within the smallest area for full HD and 2K resolution.
Once the preserve of premium devices, immersive experiences such as AR, high-fidelity gaming, and new AI-based use cases across mobile and the home are now being demanded by the mainstream market, said Paul Williamson, vice president and general manager of Arm’s client line of business, in a statement.
The new NPUs have features such as voice recognition and always-on capabilities, which are no longer unique to mobile.
AI intelligence is now everywhere from gaming devices to digital TVs (DTVs), and increased compute at the endpoint is required to allow for these responsive experiences. For example, intelligent experiences in DTVs range from smart assistant voice commands to real-time translation for shows in another language and facial recognition to enhance parental controls....
Yesterday:
"Q&A with Steve Roddy, vice president of the machine learning group at Arm, on culling neural nets for embedded devices, competing with Nvidia and Intel, more"
