Arm Unveils Two IPs That Boost IoT Machine Learning Performance by 480x
Published2020.03.04 09:29Provides enhanced on-device ML processing
IP supporting machine learning operation on IoT devices has been released.
On the 4th, Arm unveiled the Arm Cortex-M55 processor with enhanced AI performance and the Arm Ethos-U55 microNPU.
Two new IPs and the integrated toolchain supporting them provide on-device machine learning (ML) processing capabilities for small IoT and embedded devices operating on limited power.
Based on the Armv8.1-M architecture, the Cortex-M55 increases ML performance by 15 times and digital signal processing (DSP) performance by 5 times over the previous generation Cortex-M through 'Arm Helium Vector Processing' technology. In addition, 'Arm Custom Instructions' can be used to extend processor capabilities for new specific workload optimizations of Cortex-M processors.
For ML systems requiring much higher performance, the Cortex-M55 can be seamlessly paired with the Ethos-U55, improving ML performance by 480 times compared to existing Cortex-M processors. The Ethos-U55 is designed to be flexible and accelerate ML inference on small-area embedded and IoT devices.
The Arm Cortex-M software toolchain supports Cortex-M55 and Ethos-U55 and ensures a consistent development flow for existing DSP and ML workloads.
관련뉴스
Mouser and NXP Jointly Publish E-book Analyzing AI Potential
Mouser Electronics and NXP Semiconductors have jointly published an e-book titled "Imagine the Possibilities." The publication provides insights into AI applications and ML solutions, along with analysis of voice control, facial recognition, autonomous driving, and object recognition. The e-book also includes content from Mouser and NXP engineers introducing methods for leveraging AI, procedures required for successful solution design, and electronic components.
2019.12.26by 최인영 기자
.png)
Xilinx Announces Machine Learning Capabilities Targeting the Broadcast Market
Xilinx announced that it has added machine learning capabilities to its devices targeting the Pro AV and broadcast markets. Additionally, it unveiled a programmable HDMI 2.1 demo implemented on a 7nm Versal device.
2020.02.11by 이수민 기자
Reduce network downtime with machine learning
Keysight's Network Solutions team has announced the addition of new machine learning capabilities to HawkEye, its network quality management solution. HawkEye, enhanced with machine learning functionality, enables enterprises to reduce network downtime and improve network uptime. The automatic threshold and anomaly detection features, which combine machine learning-based issue detection with customizable sensitivity criteria, streamline complex items and immediately alert operations teams to potential problems.
2020.02.19by 이수민 기자
ST Microelectronics and NUS Establish Joint Research Center 'HELIX' for Edge AI
ST Microelectronics and the National University of Singapore have established the 'HELIX' joint research center aimed at implementing embedded AI in edge environments. Over a four-year period, the center will conduct research across the entire technology stack from algorithms to silicon, focusing on memory-centric architecture leveraging ST's 18nm FD-SOI technology and embedded PCM. The core objective is to implement intelligence directly in physical devices such as robots and drones while minimizing energy consumption.
2026.08.28by 배종인 기자
Ecolab and K-water Discuss Innovation Collaboration in Advanced Industry Water Management
Ecolab and the Korea Water Resources Corporation jointly discussed cooperation directions for maximizing water use efficiency in advanced industries such as semiconductors and data centers and establishing sustainable water circulation. The two companies agreed to gradually develop a long-term cooperation model that combines water resource infrastructure and water management technology to promote water efficiency optimization, water reuse, and carbon reduction.
2026.08.28by 명세환 기자
