International

FPGAs Conquer Industrial Applications

Edge computing for AI requires performance and flexibility

With Industry 4.0, data volumes and the requirements placed on data transmission and processing are increasing. For Patrick Dorsey of Intel, it is clear that the required computing power must move closer to the data source. But edge computing must be both energy-efficient and scalable.

Personal Computing Devices

COVID19 Puts Computer Market under Pressure

Due to the COVID19 outbreak, IDC expects sales of personal computing devices (PCDs) to...

Open Source Hardware – RISC-V

We will have 62.4 billion RISC-V CPU cores running by 2025

With more than 500 RISC-V Foundation members in 28 countries around the world, RISC-V...

Software for embedded systems

Develop Edge AI faster

A new integrated development environment will now enable machine learning and inference...

ADAC Creates Comparability

Fast Charging is not just Fast Charging

For electric vehicles, not only the range plays an important role, but also the...

5G in Sight

Atlantik Elektronik Founds 5G Division

The communications technology supplier Atlantik Elektronik in Planegg near Munich is...

u-blox

Wi-Fi 6 Module Series with Bluetooth 5.1

u-blox has announced the JODY W3 series. These are wireless modules with Wi-Fi 6 with 2...

Embedded World Daily

The German way of doing things - Vol. 3

Dr. Müller & Kollegen - the Comic for the Embedded World Daily 2020.

RISC-V enclaves

A clean slate approach to Linux security

Two renowned security experts propose a new zero trust computing model based on the...

Embedded World Daily

The German way of doing things - Vol. 2

Dr. Müller & Kollegen - the Comic for the Embedded World Daily 2020.