Tria has introduced a family of embedded compute modules featuring Qualcomm Dragonwing processors with multi-operating system ...

Albert Zhichun Li, Ph.D., is Chief Security Scientist at Stellar Cyber. He has over 15 years of experience in cybersecurity research. Not long ago, the state of voice recognition was quite ...

Arm says it has everybody beat in terms of volumes of AI and machine-learning chips deployed in the widest array of devices. Skip to main content Events Video Special Issues Jobs ...

Machine learning (ML) algorithms are moving to the IoT edge due to various considerations such as latency, power consumption, cost, network bandwidth, reliability, privacy and security. Hence, there ...

Taking Micro Machine Learning to the MAX78000 Jan. 4, 2021 Editor Bill Wong takes a look at Maxim Integrated’s MAX78000 microcontroller that includes machine-learning hardware.

The two new FM4 systems are based on the ARM Cortex-M4. One includes a 2D graphics engine with on-board VRAM while the other includes voice recognition software and hardware support.

While embedded processor vendors usually focus on the deployment side of machine learning (ML) designs, NXP has taken the extra step of offering tools for data preparation and model training. NXP, ...

Whether it's search, Google Assistant, Android, Gmail, Google Photos, or Google Cloud Platform and its data centers, the path to success for Google flows through two words: Artificial Intelligence ...

There are four new chips in all. They consist of a Mali-G57 GPU, the Ethos-N57 and Ethos-N37 NPUs, and Mali-D37 DPU. All of these are considered mainstream parts, with the goal of bringing premium ...

The leading development toolchain IAR Embedded Workbench supports the neural network library Arm CMSIS-NN. Uppsala, Sweden—February 26, 2018—IAR Systems®, the future-proof supplier of software tools ...