Arm has released early technical details of two new technologies for its A-Profile architecture. These are Scalable Vector Extension v2 and Transactional Memory Extension.
Last week at Open Networking Summit in San Jose, there was a lot of buzz about the Akraino Edge Stack Project. Arm discusses the blueprints that were shown.
As Microsoft launches its latest mixed reality headset, the HoloLens2, we take a look at the key features and capabilities of the wearable device and how Arm is enabling performance and power efficiency…
The Energy Aware Scheduler (EAS) is now available as part of Linux 5.0. It enables energy-efficient scheduling decisions on big.LITTLE and DynamIQ Arm platforms by choosing the right type of CPU for each…
Arm announces the Arm Neoverse N1 Platform for revolutionary compute performance and the Arm Neoverse E1 Platform for leading edge throughput efficiency.
The Arm Neoverse N1 platform is the first compute platform from Arm capable of servicing the wider range of data center workloads with performance levels competitive with the legacy architectures used…
Arm announces Armv8.1-M, the latest version of the Armv8-M architecture, including the new M-Profile Vector Extension (MVE). Arm Helium is the MVE for the Arm Cortex-M processor series.
Every ten years mobile connectivity has a generational evolution. We’ve had 1G (voice calls), 2G (SMS messaging), 3G (web browsing) and 4G (LTE/ rich internet services). We’re now reaching the 5G evolution…
Arm Training has introduced a more blended approach to its standard classroom training. Before a face-to-face training course, attendees are granted access to a private community on the Arm online training…
This blog provides details about how machine learning at the edge is helping to save reindeer this Christmas through a reindeer cam that alerts train drivers when reindeer stray onto the train lines in…
A summary of the key discussion points from the 'Revolutionizing the PC experience' Tech Panel at TechCon with representatives from Arm, Microsoft and Qualcomm.
Arm’s face verification system is a real-time proof of concept that achieves 98.36% accuracy, running efficiently on Arm machine learning-optimized platforms.