31
'24
Written on
Hexagon Manufacturing Intelligence News
29
'24
Written on
Vattenfall News
DIGITAL TWINS – A ROAD TO MORE PROFITABLE OFFSHORE WIND
Digital twins can help Vattenfall and the wind industry get maximum value of its offshore wind farms.
23
'24
Written on
MICRO EPSILON News
Thickness and structure measurement of solar wafers with MICRO EPSILON
The production of solar wafers starts with the raw wafers that are sawn from the so-called ingots. These must comply with a specified thickness of about 180 µm to be processed further as a good part.
22
'24
Written on
SCHUNK News
SCHUNK: AUTOMATION THAT WORKS
SCHUNK offers a comprehensive portfolio with all the necessary components, and also the experience and know-how for efficient automation solutions for any requirement.
29
'24
Written on
ExOne News
EXONE: FLEET MANAGEMENT ACCESSORIES ENHANCE FOUNDRY 3D PRINTING OPERATIONS
Automate fluid management to reduce costs, labor, and logistics in your 3D printing operations.
19
'24
Written on
Hexagon Manufacturing Intelligence News
THE FOUR BUILDING BLOCKS OF THE INDUSTRIAL METAVERSE
Stephen Graham, Executive Vice President and General Manager, Nexus, Hexagon, introduces us to the 4 building blocks of the industrial metaverse, highlighting some of the key issues.
27
'23
Written on
Toshiba News
TOSHIBA DEVELOPS WORLD’S FIRST LIDAR WITH 99.9% TRACKING ACCURACY
The new technology enables precision object recognition and extended range in bad weather and opens the way to spatial digital twins.
30
'23
Written on
Wachendorff
NFC as configuration interface instead of cables and adapter boxes - simple and smart
During the development of a machine, there comes a time when the individual sensors need to be fine-tuned. Uncertainty often arises about the number of pulses required for optimum application. Effort and frustration are therefore inevitable.
30
'22
Written on
Rohm Semiconductors News
ROHM Develops Ultra-Low-Power On-Device Learning Edge AI Chip
ROHM has developed an on-device learning AI chip (SoC with on-device learning AI accelerator) for edge computer endpoints in the IoT field. It utilizes artificial intelligence to predict failures (predictive failure detection) in electronic devices equipped with motors and sensors in real-time with ultra-low power consumption.
26
'22
Written on
Yamaha Motor News
