Latest in Analog
Which Electrical Engineering Specialisation is Right for You?
There are several engineering fields that university students can choose from, such as computer science, civil, mechanical, electrical, and aeronautics. It’s not surprising that students may find it difficult to select one speciality over another when the time comes.
Enhancing IoT and Wearables with the SensorTile Development Kit
On May 7th, STMicroelectronics—Europe’s largest semiconductor manufacturer—announced its newest contribution to the IoT realm. Dubbed the SensorTile.box, a device that introduces users to wearable sensing and cloud-based data transmission.
ADI’s Senior Field Applications Engineer, Thomas Brand, Talks Industry 4.0 and Cyber Security
With no stopping the rising, urgent importance of cyber security in Industry 4.0, Analog Devices is a prominent example of a manufacturer that’s proving prepared. Thomas Brand, senior field applications engineer (FAE) at ADI, shares the specific systems they’ve put in place.
Medical Devices are Leading the IoT Revolution, Not Consumer Ones
The IoT has opened the doors to endless opportunities within healthcare and medicine. When your ordinary, run of the mill medical devices are supplemented with connectivity and added to the IoT, they can collect invaluable information, data, and provide healthcare professionals with greater insight into the patient.
T&M Devices That Will Speed Up Commercialisation of Solid-state Batteries
Solid-state batteries are expected to usher in an era of safer, more compact, and higher density batteries with fast-charging capabilities. These new generation batteries have been hailed as the future of electric cars, but their commercialisation still hangs in the balance.
TurboTrack: MIT’s RFID-based Answer to Machine Vision Robotics
While machine vision is often the ‘done deal’ for informing robotic motor functions, sometimes it’s the simpler solutions that prove the most robust. Here’s a look at TurboTrack: Massachusetts Institute of Technology’s radiofrequency identification tag-based technology, whose signal-reading approach has proved foolproof in many aspects where machine vision robot guidance falls down.