2019 US Cybersecurity Salary & Employment Study – which state has the best prospects? | Comparitech

In 2018, the average salary for cybersecurity roles was $92,789 per year, and over the next 10 years (2018 to 2028), the job growth for these roles is 32 percent (much higher than the average of 5 percent).

We reveal where the cybersecurity job hotspots are, including where you’ll get the highest salary, where the most jobs are, and where the best long-term projections for these roles are.

Source: 2019 US Cybersecurity Salary & Employment Study – which state has the best prospects? – Comparitech


Retired Boeing 747 to become testbed for revolutionary new engines | Intelligent Aerospace

Rolls-Royce’s newest flying testbed will be equipped with the British manufacturer’s UltraFan, which R-R says will reduce C02 emissions and boost efficiency. Rolls-Royce expects the UltraFan jet engine to be available after 2025. Rolls-Royce is investing $70 million in the acquisition and refurbishment of the aircraft.

Gareth Hedicker, Rolls-Royce, Director of Development and Experimental Engineering, said: “The Queen of the skies will become the jewel in the crown of our global test program. This is a significant investment that will expand our world-leading test capabilities even further and will allow us to obtain more flight test data than ever before. After transporting millions of passengers on this beloved aircraft for 20 years, we’re excited to power it into the future.”

Source: rolls royce ultrafan engine testbed | Intelligent Aerospace

Don’t Blame the Engineer for These Disasters | Design News

The collapse of the Tacoma Narrows Bridge was due to the never-before-seen phenomenon of torsional vibration mode. This effect caused the two halves of the bridge to twist in opposite directions while the center remained motionless.

Over time, the force produced by the fluttering movements surpassed the strength of the suspender cables, snapping them one by one until the remainder were unable to support the mass of the bridge. The bridge received its nickname Galloping Gertie because of its wild movements.

Source: Don’t Blame the Engineer for These Disasters | Design News

China’s Rigged Telecom Market Keeps Nordic Firms in Huawei’s Shadow | Light Reading

Ericsson CEO Börje Ekholm made a curious but telling comment when recently discussing his company’s efforts to play a bigger role in China as operators prepare to invest in new 5G networks. “No awards have been made and we have no way of knowing potential market shares or price levels,” he told analysts during a phone call about the Swedish vendor’s financial results.

In any free market, share and prices would be determined by competitive tenders issued by the country’s operators. It would be up to Ericsson to show off its technological prowess and prove it can meet a given operator’s requirements. Weeks ahead of important awards, its boss would be able to draw some connection between Ericsson’s capabilities and the likely tender outcome.

The system is very different in China, say experts. “You have to go to a test for your equipment that determines what price you get and your market share and the Chinese companies always perform much better,” says John Strand, the CEO of Danish advisory firm Strand Consult. “The market share that Ericsson and Nokia get in China is not related to free market conditions.”

Much like its poor track record on protecting intellectual property, China’s rigged system is widely recognized but rarely acknowledged.

Source: China’s Rigged Telecom Market Keeps Nordic Firms in Huawei’s Shadow | Light Reading

A Deep Dive into AI Chip Arithmetic Engines | Semiconductor Digest

Artificial intelligence (AI) is steadily progressing toward advanced, high-value applications that will have a profound impact on our society. Automobiles that can drive themselves are perhaps the most talked about, imminent technological revolution, but there are many more applications of AI.

AI software, such as a neural network (NN) implementing a machine learning (ML) or deep learning (DL) algorithm, requires high-performance “artificial brains,” or hardware, to run on. Computer vision is fundamental to many complex, safety-critical decision-making processes.

Since AlexNet won the ImageNet competition in 2012, convolutional neural networks (CNNs) have become the method of choice to perform accurate image classification and object recognition. Hardware platforms targeting computer vision and other NN-based applications can speed up execution and reduce power consumption of AI, making real-world, real-time applications possible.

AI chips and hardware accelerators that power ML and DL algorithms include large arrays of specialized resources that can be directly mapped to –– and parallelize the execution of –– the required computational steps.

Source: A Deep Dive into AI Chip Arithmetic Engines – Semiconductor Digest

US Navy Picks Blue Canyon for CIRCE Mission | Via Satellite

Blue Canyon Technologies (BCT) was selected by the U.S. Naval Research Laboratory (NRL) to support a combined initiative between the U.S. Department of the Navy and the U.K. Ministry of Defense for a demonstration mission called CIRCE. The mission is scheduled to launch in March of 2020.

CIRCE, which stands for Coordinated Ionospheric Reconstruction CubeSat Experiment, will utilize two 6U CubeSats flying in tandem formation in Low-Earth Orbit (LEO) to measure the ionosphere and radiation environment space from multiple vantage points. The BCT-built CubeSats will also have a low-latency data link to enable operational responsiveness.

Source: US Navy Picks Blue Canyon for CIRCE Mission – Via Satellite –

NTT launches $119m subsea unit in Singapore

NTT has launched a new subsea cable unit in Singapore to maximise on the growing demand for connectivity in Southeast Asia.

According to NNA Business News, the newly formed company already had plans to start laying a new cable in December, as confirmed by Hajime Miyazaki, director of the London unit, NTT. The new system to Singapore, which is also Southeast Asia’s financial hub, is due to be completed in two years.

Source: NTT launches $119m subsea unit in Singapore

How Paul Andrews Guided TTI’s Remarkable Evolution

Paul Andrews Jr. did not set out to build a global distribution enterprise.

“My first objective was survival,” he half-joked. “I’d been laid off from General Dynamics. I’d worked in manufacturing, procurement, I’d done inventory control, managed production and had experience in sales. My primary goal was to make a living.”

In the early 1970s, Andrews founded Tex-Tronics – as TTI, Inc. was called at the time — as a broker.

Like distributors established in the 1940s, Tex-Tronics dealt with shortages especially in military electronics. “There was always someone with a lot of low value requirements on their desk,” Andrews said, “you just had to find that buyer.”

That was in 1971. Fast-forward to 2019, when TTI is a multi-billion-dollar global distributor. The company remains true to its roots as a specialist, and its evolution is unique.

Source: How Paul Andrews Guided TTI’s Remarkable Evolution

TSMC, GlobalFoundries Reach ‘Record’ Settlement | EE Times

The settlement this week between TSMC and GlobalFoundries appears to be a David vs. Goliath victory with the smaller foundry gaining access to TSMC patents for years.

TSMC may have simply “thrown a bone” to GlobalFoundries (GF), which has no ability to use the most valuable of those patents because it dropped out of the Moore’s Law race at the 7 nm mark, according to Robert Maire, president of Semiconductor Advisors.

Source: TSMC, GlobalFoundries Reach ‘Record’ Settlement | EE Times

Companies Clash over AI at the Edge | EE Times

In the past two years, artificial intelligence has morphed from academic marvel to global megatrend. Machine learning in some form is set to revolutionize almost everything — consumer, automotive, industrial, every area of electronics — and, beyond that, to affect society and our lives in ways we don’t yet know about.

What this means for the industry is that practically every processor vendor has identified machine learning as a goose that will lay golden eggs.

The race is on to position one’s own approach as the right solution to accelerate specific workloads in the area that holds the most potential: machine learning outside the data center, or AI at the edge.

Source: Companies Clash over AI at the Edge | EE Times