We Continue the Work of Those
Who Were the First.

  • Electrotechnics
  • Electrical Engineering
  • Light & Lighting
  • Power Engineering
  • Transportation
  • Automation
  • Communication
  • Smart Buildings
  • Industry
  • Innovation

Current issue

ELEKTRO 2/2020 was released on February 12th 2020. Its digital version will be available on March 12th 2020.

Topic: Electrical apparatus, Internet of Things; Medical technologies

Main Article
Monitoring vacancy of an intelligent building

SVĚTLO (Light) 1/2020 was released on February 3th 2020. Its digital version will be available on March 3th 2020.

Fairs and exhibitions
Invitation for Light+Building 2020 – attendant programme
Prolicht+Sound fair celebrates the 25th birthday
FOR CITY 2020 introduces oneself in parallel to FOR ARCH fair

Luminaires and light apparatuses
Modern trends in automobile headlamps

Stanford engineers create new AI camera for faster, more efficient image classification

17.08.2018 | Stanford University | www.stanford.edu

The image recognition technology that underlies today’s autonomous cars and aerial drones depends on artificial intelligence: the computers essentially teach themselves to recognize objects like a dog, a pedestrian crossing the street or a stopped car. The problem is that the computers running the artificial intelligence algorithms are currently too large and slow for future applications like handheld medical devices.

Now, researchers at Stanford University have devised a new type of artificially intelligent camera system that can classify images faster and more energy efficiently, and that could one day be built small enough to be embedded in the devices themselves, something that is not possible today.

New AI camera

The first layer of the prototype camera is a type of optical computer, which does not require the power-intensive mathematics of digital computing. The second layer is a traditional digital electronic computer. The result is profoundly fewer calculations, fewer calls to memory and far less time to complete the process.

Read more at Stanford University

Image Credit: Andrey Suslov / Getty Images

-jk-