EE Times EU

2 days ago | eetimes.eu | Emily Newton

Quality control is a crucial but often inefficient part of the manufacturing workflow. Machine vision can help by automating some or all of these defect inspections, but it can’t deliver its most significant improvements alone. You must understand and refine the machine vision inspection process for this technology to produce meaningful results. Like AI technologies, machine vision is impressive, but it is just a tool. How well it works depends on how well its end users can apply it.

1 week ago | eetimes.eu | Anne-Francoise Pele |Anne-Françoise Pelé

The edge is the new place to be for AI. With edge AI, the processing occurs right where data is generated, enabling real-time decision-making, low latency, and enhanced privacy. Beyond the hardware challenge of providing sufficient computing power in restricted environments, the difficulty for edge AI companies has been to develop scalable, affordable AI that can be easily deployed in a wide range of applications.

2 weeks ago | eetimes.eu | Anne-Francoise Pele |Anne-Françoise Pelé

At the recent Nvidia GTC conference in San Jose, Calif., transportation companies such as General Motors, Volvo, Gatik, and Torc showcased their latest advances with Nvidia technologies covering passenger cars, trucks, commercial vehicles, and more. As the Mobility Tech Forum took place just afterwards, EE Times Europe asked one of its keynote speakers to comment on Nvidia’s Halos, an end-to-end safety system for autonomous vehicles (AVs), during the Q&A session.

2 weeks ago | eetimes.eu | Robert Huntley

According to many industrial pundits, we’re currently in the fifth industrial revolution, also known to many as Industry 5.0 or, more broadly, the digital era. This era is defined by our increasing use and dependence on artificial intelligence, the widespread deployment of IoT sensors, and robotic automation. The data generated is estimated to have reached 402 exabytes (4.02 1020) per day, and, according to ExplodingTopics.com, in 2025, we’ll generate 181 zettabytes (1.81 1023).

2 weeks ago | eetimes.eu | Anne-Francoise Pele |Robert Huntley |Anne-Françoise Pelé

The number of use cases for GNSS positioning and navigation continues to grow daily. It used to be that achieving meter-level position accuracy was sufficient. However, as new applications for GNSS flourish, the demand for better and more repeatable positional resolution focuses on delivering centimeter-level location precision. Demand from the industrial sector is strong, with notable use cases such as precision agriculture, delivery robots, and ground robotics.