Latest In Depth Technology News

Xometry: Saving Your Project Time with On-Demand Manufacturing

Saving time is one of the main considerations when manufacturing parts in the electronics industry, as well as ensuring good quality and low costs. But it is also one of the most challenging aspects in terms of management. The standard process for getting custom parts manufactured can take several months with issues arising as early on as the provider search and quoting stage.

Delivering reliable communications

At the heart of Industry 4.0 is a reliable communications infrastructure that enables data to be extracted from machines, field devices, and factories and delivers trusted and precise operation.

The never-ending quest for bandwidth

You can tell that Shannon’s Law provides little further scope for improving cellular bandwidth: it’s forcing the architects of what will form the 6G cellular standard to consider all manner of options.

Securing the IoT ecosystem

How do we secure IoT devices and the ecosystem that supports them? Could quantum-driven cyber-security deliver a scalable and cost-effective solution?

A critical issue

With more cyber-attacks than ever on critical infrastructure, how can utilities actively counter these growing threats?

When the chips are down

As manufacturing starts to ramp up after the pandemic, the efforts of many companies are being thwarted by the global shortage of chips.

The post-pandemic connector market

The COVID-19 pandemic has caused substantial disruption across the engineering sector over the last 18 months, with businesses facing challenges such as changing market requirements, stock shortages and longer lead times.

Future horizons

In a rapidly changing world defence companies have to contend with significant uncertainty as their industry is transformed.

Senses working overtime

The next generation of IoT sensors will provide devices with local intelligence that will measure a wide range of physical parameters, process this data locally and share the data on the cloud.

Audio edge processing

By solving the challenges of audio source classification using audio edge processors that have been specifically designed for advanced audio and machine learning applications, smart home devices will continue to increase their utility but will also make the jump from just smart to useful.

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