The next industrial revolution is arriving on a shore near you. It’s called Industry 4.0, and like its three predecessors, it’s about to bring sweeping changes to manufacturing that will globally affect everyone.
Industry 4.0, and the resulting manufacturing changes that are coming with it, have spawned a new type of production plant called the smart factory.
The World Economic Forum, the global nonprofit foundation whose annual meeting in Davos is attended by global leaders from business and politics, has published a list of companies which it considers to be the most pioneering in the field of technology.
In publishing its Technology Pioneers 2017 list, WEF has chosen 30 different companies to highlight from a variety of industries including biotechnology, agriculture, energy, transport, as well as a number of companies from the robotics and automation sector.
Texas Instruments is bringing what it calls “an unprecedented degree of precision and intelligence” to a range of applications spanning the automotive, factory and building automation, and medical markets.
Aerotech has launched a motion control sensor with a parallel-kinematic design which provides unmatched geometric performance, says company, adding that it also offers superior positioning resolution and linearity with the direct-metrology capacitive sensor.
Aerotech’s QNP3 series XYZ piezo positioning stages combine sub-nanometer resolution, high dynamics, and excellent geometric performance in a compact three-degree-of-freedom (DoF) package.
They come with a 40 mm x 40 mm clear aperture with closed-loop travels up to 100 µm x 100 µm x 10 µm (open-loop travels to 120 µm x 120 µm x 12 µm).
Finding practical solutions to detect proteins, cancer biomarkers, viruses and other small objects has been a key challenge for researchers worldwide for decades. These solutions hold promise for saving lives through more timely diagnosis and treatment of serious infections and diseases.
Now a UCLA team’s new research shows how such detections might be done for a fraction of the cost by using “smart” mobile devices designed by machine learning.
One method to detect small objects and related biomarkers is called plasmonic sensing, which involves shining light onto metal nanostructures to amplify the local electric field. The interaction between this amplified electric field and the molecule of interest can be measured, revealing important information about molecular concentration and kinetics. Continue reading Machine learning helps researchers design less costly optical sensors
Jonathan Wilkins, marketing director of industrial equipment supplier EU Automation discusses how new developments help bring legacy systems forward
In the last few years, fitness tracking technology has been increasingly popular, with a range of devices available to help you become healthier, improve your fitness performance and ultimately live longer.
These devices use non-invasive, easy to use sensors that connect directly to your smartphone or computer, giving you instant results to track your progress. At this year’s Hanover Messe, a new ABB demonstrated a new fitness tracker. Only this time, it’s a fitness tracker for industrial motors.