EE Tech Talk | AI and Embedded Systems: Top 5 Use Cases


Smart cities are a concept similar to smart homes but scaled to the metropolitan level.

Sensors, cameras, and smart meters are some of the many embedded devices you find in smart cities. These devices are coupled with business intelligence and analytics software that help cities make better decisions aimed at improving the quality of life for residents while reducing cost and minimizing waste.

The smart city movement already boasts a number of success stories. For example, according to the Smart Cities Council, the City of Calgary was able to use a data-driven approach to predict and mitigate floods.

Moving forward, AI may be able to push the smart cities movement even further into the future.

At the heart of AI technology is the ability to capture data inputs and “learn” from those inputs. A city full of embedded devices will be able to provide a wealth of data allowing AI to help cities solve real world problems, potentially before the problem even occurs.

Source: EE Tech Talk » » AI and Embedded Systems: Top 5 Use Cases

Switzerland: IoT Innovation Hub | EE Times

Rather than teaching students just computer science or SoC design alone, David Atienza, professor and director of Embedded Systems Laboratory at EPFL, came to EPFL (École polytechnique fédérale de Lausanne) a decade ago intent on training students who will be eventually versed in both hardware and software.

This “full-stack” approach was so new 10 or 12 years ago that most academic institutions — tied to traditional curricula — balked at Atienza’s ideas. EPFL, however, rolled the dice.

As Atienza sees the world of electronics, here’s the lay of the land. Over the last few decades, chip designers and software developers have gotten used to doing their own thing — independent of one another — with the former just focused on their own hardware designs and the latter on software development. Atienza sees a widening of the gap between two communities increasingly decoupled.

Source: Switzerland: IoT Innovation Hub | EE Times

IoT Software Testing: Four Essential Elements | EE Times


The global Internet of Things (IoT) market is slated to grow to $8.9 trillion by 2020. IoT segments in the B2B sector alone will generate more than $300 billion annually by 2020, according to Bain & Company.

These figures attest to IoT’s enormous potential —– and with more than 11 billion connected things projected to be in use this year, that potential is already being realized.

But the promise of IoT is not without risk. Hackers have exploited connected devices to mine cryptocurrency and launch high-profile cyberattacks, fostering public distrust and generating regulatory scrutiny that could ensnare a wide range of stakeholders.

Source: IoT Software Testing: Four Essential Elements | EE Times

Air Force Extends Smart Base Pilot Program | SIGNAL Magazine


After about a year, the U.S. Air Force is extending its smart base pilot program at Maxwell-Gunter Air Force Base, Montgomery, Ala. The effort takes advantage of Internet of Things (IoT) technologies and applies the smart city concept to the base. The lessons learned at Maxwell likely will be applied to Air Force bases around the world.

AT&T announced last April that it was partnering with the Air Force on the smart base concept.

The company has been installing and integrating network-connected sensors into the everyday operations of the base. The intent was to create proof-of-concept demonstrations of smart perimeters, gate monitoring, notifications, fleet management and more in an effort to increase security, efficiency and effectiveness.

Source: Air Force Extends Smart Base Pilot Program | SIGNAL Magazine

How the Fourth Industrial Revolution is Shaping the Satellite Industry | Via Satellite

We are now in the dawn of the Fourth Industrial Revolution — or “Industry 4.0.”

From mechanization of production in the first industrial revolution to mass production in the second, and automation of production in the third, the concept of digitizing everything forms the basis of how the Fourth Industrial Revolution is influencing and impacting the world.

Machine learning, Artificial Intelligence (AI), Internet of Things (IOT), and other advanced technologies are rapidly revolutionizing and reshaping infrastructure, global-local economies and possibilities for future generations.

“The speed of current breakthroughs has no historical precedent. When compared with previous industrial revolutions, the Fourth is evolving at an exponential rather than a linear pace.

Moreover, it is disrupting almost every industry in every country,” writes Professor Klaus Schwab, author of The Fourth Industrial Revolution. Technological innovations and processes are evolving at an extraordinary rate and becoming increasingly interconnected.

Similar to the three industrial revolutions that came before it, ushering in the new industrial era, that at its roots combine the ability to adopt and integrate digital and physical technologies, poses numerous opportunities and challenges.

Source: How the Fourth Industrial Revolution is Shaping the Satellite Industry – Via Satellite –

Industrial IoT: How Smart Alerts and Sensors Add Value to Electric Motors | Chip Design

Electric motors come in all sizes, from very small to very large. They usually run on main power, but sometimes on batteries, like in electric cars. We all have many electric motors in our homes—in our vacuum cleaners, fridges, freezers, garage door openers. And, of course, many toys have miniature electric motors, like the locomotives in model trains.

Factories are also equipped with many electric motors used for all kinds of jobs: lifting, pressing, pumping, sucking or drying—basically everything that can be done with motion. Electric motors are the workhorses of industry today. They’re also used in areas that are too dusty, dangerous, or difficult to reach by human effort. In short, modern industrial life doesn’t exist without the electric motor.

With the IoT, every electric motor on a factory floor is equipped with one or multiple sensors that are connected (preferably wirelessly) to a control database that continuously collects data about the motors. The control database can use artificial intelligence (AI) to learn normal behavior for every motor and then, after a typically short period of learning, it can generate immediate alerts when deviations from that normal occur.

In other words, the IoT combined with AI not only sees problems coming, it continuously scans for problems.

Source: Industrial IoT: How Smart Alerts and Sensors Add Value to Electric Motors | Chip Design

IoT: A View from the Trenches | EE Times

“I’m wearing jeans here in a test lab for an automated warehouse, helping make boxes and running wiring harnesses for smart cameras,” said Rob Risany, introducing himself. He joined ADLink Technology last July from IBM’s Watson group to help the board and gateway vendor create a new IoT group.

“It’s not driven by product engineers writing specs but by definitions of business problems … people won’t invest in technology for technology’s sake, but on the other hand, it seems like all CTOs need to have digital experiment in IoT running by end of year or they will be gone,” said Risany.

Source: IoT: A View from the Trenches | EE Times

What’s Needed to Secure the Industrial IoT | EE Times


Last September, the National Institute of Standards and Technology (NIST) published last a manufacturing profile providing details for implementing its Cybersecurity Framework in the plant.

Also last year, the agency published a draft revision of its SP 800-53 Security and Privacy Controls for Information Systems and Organizations, focused on how public and private sector organizations can maintain security and privacy in interconnected systems and devices such as their IoT and IIoT networks.

Although the controls were developed for use by the federal government, industry organizations are also adopting them.

Source: What’s Needed to Secure the Industrial IoT | EE Times

5 Trends to Watch from Embedded World 2018 | Design News

.. I noticed several trends that will assist developers working with microcontroller-based solutions. These trends include:

  • Embedded Security
  • Real-time Visualization
  • Cloud Connectivity and Bluetooth Mesh Networking
  • Deep Learning
  • Low Power Consumption and Optimization

Source: 5 Trends to Watch from Embedded World 2018 | Design News

Cyclicality in the Age of IoT | EE Times


Some parts — particularly memory chips — are in short supply, lead times are getting longer across the board, and chip suppliers have found amid boom times a swagger that seemed to have been missing for years.

What’s more, even as PC shipments continue to spiral downward, prospects for the future look bright, with evermore semiconductor content being designed into cars and technologies associated with artificial intelligence and the Internet of Things opening up whole new swaths of applications.

It’s the best of times, right? Except that anyone who has been around the semiconductor industry for any length of time is just kind of waiting for the other shoe to drop. Inevitably, healthy cynicism tells us, euphoria will lead chipmakers to expand production capacity too fast, lead times will shrink, market drivers will stall, and the industry will suddenly find itself in that dreaded state of overcapacity. The sunlight of prosperity will slip below the horizon, plunging the industry into another dark, dreary downturn.

Source: Cyclicality in the Age of IoT | EE Times