Aaron Test

Latest Feature Articles

Virtualized IoT Devices in the Cloud Run Faster Than Their Real-World Counterparts!
I’m not a giddy software guru. I’m a hard-bitten hardware guy. I remember those days of yesteryear when I hadn’t even heard about esoteric things like virtualization, containerization, disaggregation, and other “-ations,” the discussion of which does my poor old noggin no favors whatsoever. Now, by comparison, I know enough to nod knowingly and grunt … Read More → "Aaron Test"
Nov 29, 2022
A History of Early Microcontrollers, Part 3: The Rockwell Microelectronics PPS-4/1
Now that we’re well into the 21st century, most people rarely think of Rockwell Microelectronics in connection with microprocessors and microcontrollers. The parent company, North American Rockwell (renamed Rockwell International in 1973), was a major military/aerospace contractor. Rockwell built the Apollo spacecraft, the B1 Lancer bomber, and the US Space Shuttle. Rockwell’s Rocketdyne engines were … Read More → "Aaron Test"
Nov 28, 2022
Fish Fry 500: The Best of Photonics (Now on Youtube!)
I have been fascinated by the manipulation of light since I was a kid. In another Fish Fry podcast playlist on Youtube, I investigate a variety of innovations in photonics. I chat with Dr. Eyal Cohen (Co-founder and CEO of Cognifiber) about Cognifiber’s glass-based chips, proprietary fibers, and embedded waveguides, and why the advancement of … Read More → "Aaron Test"
Nov 23, 2022
A History of Early Microcontrollers, Part 2: The Texas instruments TMS1000
As with many first-of-a-kind devices, the Texas Instruments (TI) TMS0100 calculator chip family was a narrowly defined microcontroller, mostly good for making calculators. However, the first chip in the TMS0100 family, originally called the TM1802NC and later renamed the TMS0102, incorporated everything a microcontroller requires to be a microcontroller: a CPU, RAM, ROM, and I/O. … Read More → "Aaron Test"
Nov 21, 2022

Latest Sponsored Content

featured chalk talk
NXP GoldVIP: Integration Platform for Intelligent Connected Vehicles
Today’s intelligent connected vehicle designs are smarter and safer than ever before and this has a lot to do with a rapidly increasing technological convergence of sensors, machine learning, over the air updates, in-vehicle high bandwidth networking and more. In this episode of Chalk Talk, Amelia Dalton chats with Brian Carlson from NXP about NXP’s new GoldVIP Platform. They examine the benefits that this kind of software integration platform can bring to automotive designs and how you can take a test drive of the GoldVIP for yourself.
Nov 29, 2022
featured chalk talk
DIN Rail Power Solutions' Usage and Advantages
Sponsored by Mouser Electronics and MEAN WELL
DIN rail power supplies with their clean installation and quiet fanless design can be a great solution to solve the common power supply concerns that come along with industrial and building automation applications. In this episode of Chalk Talk, Kai Li from MEAN WELL and Amelia Dalton discuss the variety of benefits that DIN rail power supplies can bring to your next design. They examine how these power supplies can help with power buffering, power distribution, redundancy and more.
Nov 28, 2022
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Johnson RF Connectivity Solutions
The growing need for remote patient monitoring and wireless connectivity has made RF in medicine applications more important than ever before. In this episode of Chalk Talk, Amelia Dalton chats with Ketan Thakkar from Cinch Connectivity Solutions about the growing trends in medicine today that are encouraging the use of RF, why higher frequency, smaller form factor, cable assembly expansion and adapter expansion are vital components in today’s medical applications and why Johnson medical solutions could be a great fit for your next medical design.
Nov 28, 2022
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Maximizing Power Savings During Chip Implementation with Dynamic Refresh of Vectors
Sponsored by Synopsys
Drive power optimization with actual workloads and continually refresh vectors at each step of chip implementation for maximum power savings.
Nov 15, 2022

Latest News

STMicroelectronics reveals 100-Watt wireless power receiver for fastest Qi-compliant charging
Geneva, November 29, 2022 – STMicroelectronics (NYSE: STM), a global semiconductor leader serving customers across the spectrum of electronics applications, has revealed a wireless power receiver with the industry’s highest available power rating of 100 Watts. Ensuring the fastest wireless charging times in the market today, ST’s new STWLC99 device can recharge high-end smartphones with the largest battery … Read More → "Aaron Test"
Nov 29, 2022
Ericsson Internet of Things, in partnership with Thales, launches IoT Accelerator Device Connect with first-ever connection-ready generic eSIMs for enterprises
Ericsson’s market-leading IoT connectivity community, further enhanced via a strategic partnership with Thales, enables enterprises to now order eSIMs while selecting preferred communications service providers at the time of device activation, making IoT easier than ever before As pioneering IoT Accelerator Device Connect partners, Telstra and Swisscom are the first Service Providers to offer the … Read More → "Aaron Test"
Nov 29, 2022
Imperas and Andes collaborate to support RISC-V innovations
Imperas Software Ltd., the leader in RISC-V simulation solutions, today announced that Andes Technology Corp., a leading supplier of performance-efficient and extensible 32/64-bit RISC-V processor cores and Founding Premier member of RISC-V International, has certified the Imperas reference models for the complete range of Andes processor IPs with Andes Custom Extension™ (ACE) support and the … Read More → "Aaron Test"
Nov 29, 2022
Semtech Collaborates with AWS to Empower Creation of Low-Power Internet of Things (IoT) Track and Trace Services with LoRa Cloud™ Geolocation
AWS IoT Core launches new location service powered by LoRa Cloud™ Collaboration simplifies the creation of asset tracking solutions and easily connects LoRa Edge™ devices to AWS  CAMARILLO, Calif., Nov. 29, 2022 – Semtech Corporation (Nasdaq: SMTC), a leading global supplier of high performance analog and mixed-signal semiconductors and advanced algorithms, today announced that it has entered a strategic … Read More → "Aaron Test"
Nov 29, 2022

Latest Blogs

mPower power integrity analysis solution recognized for innovation and market impact

By Joe Davis Sponsored by France’s ElectroniqueS magazine, the Electrons d’Or Award program identifies the most innovative products of the…

Nov 30, 2022
Smart Manufacturing: What’s Needed for the Industrial Intelligence Revolution?
Smart manufacturing – the use of nascent technology within the industrial Internet of things (IIoT) to address traditional manufacturing challenges – is leading a supply chain revolution, resulting in smart, connected, and intelligent environments, capable of self-operation and self-healing. While factory automation has been around for decades, smart manufacturing goes a great deal further. It uses a combination of artificial intelligence (AI), robotics, digital twins, additive manufacturing and powerful cloud-based compute to deliver new levels of flexibility and intelligence. Smart manufacturing is a key element of ‘Industry 4.0’, or the fourth industrial revolution. It enables companies in all corners of the manufacturing industry to move beyond traditional benefits – uptime and strength – to focus on quality, human productivity, and overall factory efficiency. The result is increased profit due to improved throughput, higher yield and reduced waste. These technologies include the sensors that generate huge amounts of data, the data centers that analyze that data and the control systems for the sophisticated machines that handle, bend, weld, solder and print the products of tomorrow. And rather than replacing human workforces, smart manufacturing enables far greater autonomy between humans and these machines. ‘Cobots’ now work in close proximity to humans, bounded by comprehensive functional safety protocols that ensure they keep their softer counterparts safe and enable them to focus on quality, productivity and higher-level tasks. Smart manufacturing in silicon While it might be easier to perceive the benefits of smart manufacturing within the operations of a car manufacturer or grocery store, smart manufacturing also provides a wealth of benefits to high-tech industries. Semiconductor devices, made from billions of transistors, continue to grow in complexity. In turn, the manufacturing process is becoming ever more complex, and the risk of failure is remarkably high. Semiconductor manufacturers rely on smart manufacturing processes to produce higher yields and achieve higher margins. Data analytics using AI can result in faster failure analysis and other production efficiencies. Semiconductor fabrication plants, or fabs, cost billions of dollars to build and maintain – which is why there are relatively few of them in the world. Much of that cost goes on equipment, the maintenance of which is vital to ongoing operation. By using smart manufacturing technologies to monitor equipment health and perform predictive maintenance, fabs can reduce unplanned maintenance time significantly. The global supply chain issues of recent years have also required new approaches to unplanned downtime – and smart manufacturing extends to predictive supply chain management to look ahead and identify coming issues and ways to mitigate them. Many of these technologies played a key role in keeping fabs operational during the 2020-2021 global chip shortage. Smart manufacturing requires local data processing Central to all of this is data – and lots of it. A smart factory can generate upwards of 5 petabytes (PB) per week and all of this data needs to be transmitted, stored and analyzed. Analytics has of course long been used to optimize the performance of systems. But the original realm of analytics software was procedural and algorithmic, following strategies conceived by MBA graduates and software engineers. With smart manufacturing, the number of data points expands exponentially to the point at which the procedural approach breaks down. The advent of machine learning (ML now allows factories to analyze patterns in very large datasets, which are well suited to the kind of massive data analytics common in Industry 4.0. But this data becomes problematic in itself. How can we handle the transmission and analysis of this incredible amount of information? For example, computer vision is thought to be essential to smart manufacturing in observing the many details of operations within a factory. However, each smart camera might generate thousands of gigabytes of high-resolution video data per day by itself. Edge data centers rise to the challenge Sending this amount of data upstream to the cloud is impractical as it overwhelms data networks and creates bottlenecks – especially in real-time computing where the value of data can be measured in milliseconds and any delay or latency in extracting insight reduces the value of that insight to zero. As a result, dedicated compute facilities, in the form of industrial edge data centers, are becoming commonplace in smart manufacturing. Residing within relatively close physical proximity to where the data is generated, edge data centers reduce latency to near-zero and retain that critical time-to-value while maximizing data privacy and reducing energy costs. Adding intelligence to sensors The sensors within factories are becoming more intelligent, too. Low-power machine learning (ML) within each endpoint device is capable of analyzing the data they are collecting and reducing the amount of data transmitted by only sending back the inference. To use the computer vision example, imagine a smart camera trained to detect physical faults in parts rolling off a production line. Rather than sending every bit of video data upstream to a cloud or edge data center, the device could analyze its own data and only send sections of video that appear to reveal faulty components to the cloud. And by combining that data with other sensor data through sensor fusion, we can gain deeper insight or achieve new levels of autonomy. For example, adding RFID to each of the items as they are produced might enable individual parts to be flagged for human examination. With every individual sensor or system aligned via protocols and working together, a factory powered by smart manufacturing becomes far more than the sum of its parts – it is one intelligent entity, optimized together for performance, productivity and community and with rapidly-interpreted data as its lifeblood.
Nov 29, 2022
Practical Guidelines To Achieve Quality Connector Solder Joints: Part Three
Sponsored by Samtec

Beyond the construction of the connector, another factor that is crucial to the performance of the connector on the printed circuit board is the quality of the connector solder joints. […]

Nov 29, 2022
Training Insights – Webinar – Automating Bug Tracking with Verisium Debug and Python
Join Cadence Training and Principal Application Engineer Daniel Bayer for this free technical training webinar. The Verisium Debug Platform is optimized for scalability, supporting debugging of simulation runs and emulation, where support for loading large source files and handling huge amounts of probe data is a must. In this Training Webinar, you’ll learn how to automate your debug experience using the Verisium Debug platform with its built-in Python API. We’ll highlight the Python API use models of the Verisium Debug Platform and some code examples to get you started writing Python-based plugins. Agenda: Python API Introduction Supported Python API Use-Models Built-In Python API Documentation Python API Examples Python API Demo What are you waiting for? REGISTER Date and Time Wednesday, November 30 07:00 PST / 10:00 EST / 15:00 GMT / 16:00 CET / 17:00 IST / 20:30 IST / 23:00 CST To register for the “Automating Bug Tracking with Verisium Debug and Python ” webinar, use the REGISTER button below and sign in with your Cadence Support account (email ID and password) to log in to the Learning and Support System. Then select “Enroll” to register for the session. Once registered, you’ll receive a confirmation email containing all login details. If you don’t have a Cadence Support account, go to Registration Help or Register Now , and complete the requested information. For questions and inquiries, or issues with registration, reach out to us: Europe, Middle East, and Africa: eur_training@cadence.com USA: bonnieip@cadence.com India: Preeti P Gowda China: Cathy Li Japan: Yuji Shimazaki Want to stay up to date on webinars and courses? Subscribe to Cadence Training emails. Hungry for training? Choose the Cadence Training Menu that’s right for you. To view our complete training offerings, visit the Cadence Training website .
Nov 29, 2022