Industrial PCs
Ultraviolet lasers used to examine tiny nanomaterials
CU Boulder researchers have used ultra-fast extreme ultraviolet lasers to measure the properties of materials just 5 nm thick, which they hope can help scientists design tinier and more efficient computer circuits, semiconductors and other technologies.
Is it time to look at edge computing?
With the rise of 5G in manufacturing, effective edge computing requires consideration of industrial PCs (IPCs) at the edge.
Hybrid process developed to produce larger quantum computer chips
MIT engineers have developed a hybrid process that connects photonics with “artificial atoms,” to produce the largest quantum chip of its type.
Benefits of learning ladder logic for industrial programming
Ladder logic is challenging for industrial programming, but it is a valuable skill for engineers looking to enhance their skill set.
Portable system boosts laser precision for quantum computing
An MIT-designed miniature “squeezer” reduces quantum noise in lasers at room temperature, which could enable better laser precision for quantum computing and gravitational-wave detection.
Modular window film application system reveals high precision, throughput
PDS IG Equipment doubles window film throughput compared to the industry standard by using EtherCAT and PC-based control.
Critical communications component made on flexible wooden film
University of Wisconsin researchers have constructed a functional microwave amplifier circuit on wooden film, which has the potential to decrease the size of control system devices and systems.
Excitons can be manipulated for electronic, quantum computing applications
Rice University researchers found that excitons can be manipulated in new and useful ways, which could be beneficial for electronic, spintronic and quantum computing applications.
Semiconductor group announces support for manufacturing chips in U.S.
The Creating Helpful Incentives to Produce Semiconductors (CHIPS) for America Act will increase semiconductor manufacturing in the U.S.
Engineers develop methods for AI bottlenecks with machine-learning algorithms
Researchers at Rice University present energy-saving designs for data-intensive computer processing with machine-learning algorithms that can improve energy efficiency.