#Embedded Firmware and Software

[bermondseysblog]

Automotive Embedded Systems: A Bridge to Smart Mobility

In the rapidly evolving landscape of the automotive industry, Automotive Embedded Systems are pivotal in transitioning traditional vehicles into smart mobility solutions. Bermondsey Electronics Limited is at the forefront of this transformative era, integrating sophisticated embedded firmware and software to enhance vehicle intelligence and connectivity.

Embedded systems in automotive technology represent a core component where hardware and software seamlessly converge to perform specific, mission-critical functions. From advanced driver-assistance systems (ADAS) to infotainment and telematics, these systems are the backbone of modern vehicles. By ensuring high reliability and real-time performance, Embedded Firmware and Software development is a crucial area of focus for us at Bermondsey Electronics Limited.

The integration of Embedded Machine Learning is setting a new benchmark in the automotive sector. This innovative approach allows vehicles to learn from vast amounts of data generated during operation, leading to improved safety features, predictive maintenance, and a personalized user experience. Embedded ML not only enhances the vehicle's capabilities but also paves the way for autonomous driving technologies.

As we continue to develop and refine our embedded systems, our commitment at Bermondsey Electronics Limited remains firm: to deliver cutting-edge solutions that propel the automotive industry toward a future where smart mobility is not just a concept, but a reality. Join us on this journey as we bridge the gap between traditional automotive practices and the dynamic world of smart mobility through pioneering embedded systems.

[allie-leth]

My worker firmware works! It flashed itself over, now just to add some roll back, security, and validation features. But effectively this means I never have to plug in another ESP32 to send them firmware. I can just tell them to post to MQTT from the worker firmware for logging and post the firmware binary to my local file server. This makes my life so much easier while building out this mesh of meshes multi-protocol com lib. Hell yeahhh

[el-ffej]

IMO: Absolutely, positively spot-on. Been a software engineer from 1980 to 2016, and this just nails the tech industry economics (and phases) that I saw then, and that I see now.

Must-read. Brilliantly written and on target. Kudos and applause, OP.

If anyone wants to know why every tech company in the world right now is clamoring for AI like drowned rats scrabbling to board a ship, I decided to make a post to explain what's happening.

(Disclaimer to start: I'm a software engineer who's been employed full time since 2018. I am not a historian nor an overconfident Youtube essayist, so this post is my working knowledge of what I see around me and the logical bridges between pieces.)

Okay anyway. The explanation starts further back than what's going on now. I'm gonna start with the year 2000. The Dot Com Bubble just spectacularly burst. The model of "we get the users first, we learn how to profit off them later" went out in a no-money-having bang (remember this, it will be relevant later). A lot of money was lost. A lot of people ended up out of a job. A lot of startup companies went under. Investors left with a sour taste in their mouth and, in general, investment in the internet stayed pretty cooled for that decade. This was, in my opinion, very good for the internet as it was an era not suffocating under the grip of mega-corporation oligarchs and was, instead, filled with Club Penguin and I Can Haz Cheezburger websites.

Then around the 2010-2012 years, a few things happened. Interest rates got low, and then lower. Facebook got huge. The iPhone took off. And suddenly there was a huge new potential market of internet users and phone-havers, and the cheap money was available to start backing new tech startup companies trying to hop on this opportunity. Companies like Uber, Netflix, and Amazon either started in this time, or hit their ramp-up in these years by shifting focus to the internet and apps.

Now, every start-up tech company dreaming of being the next big thing has one thing in common: they need to start off by getting themselves massively in debt. Because before you can turn a profit you need to first spend money on employees and spend money on equipment and spend money on data centers and spend money on advertising and spend money on scale and and and

But also, everyone wants to be on the ship for The Next Big Thing that takes off to the moon.

So there is a mutual interest between new tech companies, and venture capitalists who are willing to invest $$$ into said new tech companies. Because if the venture capitalists can identify a prize pig and get in early, that money could come back to them 100-fold or 1,000-fold. In fact it hardly matters if they invest in 10 or 20 total bust projects along the way to find that unicorn.

But also, becoming profitable takes time. And that might mean being in debt for a long long time before that rocket ship takes off to make everyone onboard a gazzilionaire.

But luckily, for tech startup bros and venture capitalists, being in debt in the 2010's was cheap, and it only got cheaper between 2010 and 2020. If people could secure loans for ~3% or 4% annual interest, well then a $100,000 loan only really costs $3,000 of interest a year to keep afloat. And if inflation is higher than that or at least similar, you're still beating the system.

So from 2010 through early 2022, times were good for tech companies. Startups could take off with massive growth, showing massive potential for something, and venture capitalists would throw infinite money at them in the hopes of pegging just one winner who will take off. And supporting the struggling investments or the long-haulers remained pretty cheap to keep funding.

You hear constantly about "Such and such app has 10-bazillion users gained over the last 10 years and has never once been profitable", yet the thing keeps chugging along because the investors backing it aren't stressed about the immediate future, and are still banking on that "eventually" when it learns how to really monetize its users and turn that profit.

The pandemic in 2020 took a magnifying-glass-in-the-sun effect to this, as EVERYTHING was forcibly turned online which pumped a ton of money and workers into tech investment. Simultaneously, money got really REALLY cheap, bottoming out with historic lows for interest rates.

Then the tide changed with the massive inflation that struck late 2021. Because this all-gas no-brakes state of things was also contributing to off-the-rails inflation (along with your standard-fare greedflation and price gouging, given the extremely convenient excuses of pandemic hardships and supply chain issues). The federal reserve whipped out interest rate hikes to try to curb this huge inflation, which is like a fire extinguisher dousing and suffocating your really-cool, actively-on-fire party where everyone else is burning but you're in the pool. And then they did this more, and then more. And the financial climate followed suit. And suddenly money was not cheap anymore, and new loans became expensive, because loans that used to compound at 2% a year are now compounding at 7 or 8% which, in the language of compounding, is a HUGE difference. A $100,000 loan at a 2% interest rate, if not repaid a single cent in 10 years, accrues to $121,899. A $100,000 loan at an 8% interest rate, if not repaid a single cent in 10 years, more than doubles to $215,892.

Now it is scary and risky to throw money at "could eventually be profitable" tech companies. Now investors are watching companies burn through their current funding and, when the companies come back asking for more, investors are tightening their coin purses instead. The bill is coming due. The free money is drying up and companies are under compounding pressure to produce a profit for their waiting investors who are now done waiting.

You get enshittification. You get quality going down and price going up. You get "now that you're a captive audience here, we're forcing ads or we're forcing subscriptions on you." Don't get me wrong, the plan was ALWAYS to monetize the users. It's just that it's come earlier than expected, with way more feet-to-the-fire than these companies were expecting. ESPECIALLY with Wall Street as the other factor in funding (public) companies, where Wall Street exhibits roughly the same temperament as a baby screaming crying upset that it's soiled its own diaper (maybe that's too mean a comparison to babies), and now companies are being put through the wringer for anything LESS than infinite growth that Wall Street demands of them.

Internal to the tech industry, you get MASSIVE wide-spread layoffs. You get an industry that used to be easy to land multiple job offers shriveling up and leaving recent graduates in a desperately awful situation where no company is hiring and the market is flooded with laid-off workers trying to get back on their feet.

Because those coin-purse-clutching investors DO love virtue-signaling efforts from companies that say "See! We're not being frivolous with your money! We only spend on the essentials." And this is true even for MASSIVE, PROFITABLE companies, because those companies' value is based on the Rich Person Feeling Graph (their stock) rather than the literal profit money. A company making a genuine gazillion dollars a year still tears through layoffs and freezes hiring and removes the free batteries from the printer room (totally not speaking from experience, surely) because the investors LOVE when you cut costs and take away employee perks. The "beer on tap, ping pong table in the common area" era of tech is drying up. And we're still unionless.

Never mind that last part.

And then in early 2023, AI (more specifically, Chat-GPT which is OpenAI's Large Language Model creation) tears its way into the tech scene with a meteor's amount of momentum. Here's Microsoft's prize pig, which it invested heavily in and is galivanting around the pig-show with, to the desperate jealousy and rapture of every other tech company and investor wishing it had that pig. And for the first time since the interest rate hikes, investors have dollar signs in their eyes, both venture capital and Wall Street alike. They're willing to restart the hose of money (even with the new risk) because this feels big enough for them to take the risk.

Now all these companies, who were in varying stages of sweating as their bill came due, or wringing their hands as their stock prices tanked, see a single glorious gold-plated rocket up out of here, the likes of which haven't been seen since the free money days. It's their ticket to buy time, and buy investors, and say "see THIS is what will wring money forth, finally, we promise, just let us show you."

To be clear, AI is NOT profitable yet. It's a money-sink. Perhaps a money-black-hole. But everyone in the space is so wowed by it that there is a wide-spread and powerful conviction that it will become profitable and earn its keep. (Let's be real, half of that profit "potential" is the promise of automating away jobs of pesky employees who peskily cost money.) It's a tech-space industrial revolution that will automate away skilled jobs, and getting in on the ground floor is the absolute best thing you can do to get your pie slice's worth.

It's the thing that will win investors back. It's the thing that will get the investment money coming in again (or, get it second-hand if the company can be the PROVIDER of something needed for AI, which other companies with venture-back will pay handsomely for). It's the thing companies are terrified of missing out on, lest it leave them utterly irrelevant in a future where not having AI-integration is like not having a mobile phone app for your company or not having a website.

So I guess to reiterate on my earlier point:

Drowned rats. Swimming to the one ship in sight.

[smacsoftwares]

🚀 Power Your Devices with Cutting-Edge Embedded Software! 🌐

Our team at SMAC Software specializes in developing reliable and high-performance embedded software solutions, custom-designed to optimize functionality and enhance device efficiency across industries.

✅ Tailored Firmware & Software ✅ High Performance & Reliability ✅ Scalable Solutions ✅ Industry-Specific Expertise

Ready to bring your devices to life with seamless software integration? Let’s get started! 🔋💡

Read more at https://smacsoftwares.com/embedded-software-development/

[creativeera]

Embedded Computing Marled is Anticipated to Witness High Growth Owing to Wide Adoption Across End-use Industries

Embedded computing refers to a computer system that is part of a larger mechanical or electrical system designed to perform a dedicated function. Embedded systems are designed for specific control functions within embedded products and machines and operate under the direct control of an embedded program. Some key features of embedded systems include rugged construction, low power usage, real-time operating capabilities and compact size. Embedded devices are commonly found in industrial equipment, automobiles, consumer electronics, home appliances and medical devices to control electronic systems. Their key advantage is the ability to control electronic processes in a precise, flexible and cost-effective manner.

The global embedded computing market is estimated to be valued at US$ 112.45 Bn in 2024 and is expected to reach US$ 174.38 Bn by 2031, exhibiting a compound annual growth rate (CAGR) of 6.5% from 2024 to 2031.

Wide adoption across industries such as industrial automation, transportation, healthcare, telecommunication and consumer electronics is fueling market growth. Embedded systems allow streamlining of electronic processes, reducing downtimes and operation costs for end-use industries. Key Takeaways Key players operating in the embedded computing market are Advanced Micro Devices (AMD), Inc., Advantech Co., Ltd., Avalue Technology Inc., Curtiss-Wright Corporation, Dell Technologies Inc., Emerson Electric Co., Fujitsu Limited, General Electric Company, Hewlett Packard Enterprise Company, Honeywell International Inc., Intel Corporation, Kontron ST AG, Mitsubishi Electric Corporation, Rockwell Automation, Inc., and Texas Instruments Incorporated. The Embedded Computing Market Demand offers significant opportunities for system integrators and solution providers through new product development and capability expansion. Growing digitization trends across industry verticals will continue to generate strong demand for embedded systems with advanced computing and connectivity features. Leading embedded computing companies are focusing on global expansion strategies through partnerships, joint ventures and acquisitions to solidify their presence in emerging economies of Asia Pacific, Latin America, Middle East and Africa. These regions offer high growth potential driven by ongoing modernization of infrastructure and growing electronics manufacturing activities. Market Drivers Wide adoption across industrial automation applications is a key driver for the embedded computing market. Use of embedded systems allows streamlining of electronic processes, reducing downtimes and operation costs for industrial equipment manufacturers. Growing connectivity trends through Industrial Internet of Things (IIoT) will further propel demand. Rising electronics content in automobiles is positively impacting the market. Advanced driver assistance systems, infotainment systems and vehicle networking require powerful embedded computing solutions. Strict fuel efficiency and vehicle emissions norms will accelerate integration of embedded computing hardware. Market Restrain Design complexity of developing embedded system on a chip (SoC) poses challenges, especially for integrating advanced Embedded Computing Companies capabilities with low power requirements. This increases new product development timelines and costs. Limited standardization across various embedded system platforms inhibits seamless interoperability, data exchange and application portability. This poses difficulties for globally distributed product development activities.

Segment Analysis Automotive industrial and transportation is dominating the embedded computing market due to increasing implementation of advanced driver-assistance systems, connected vehicles solutions, electric vehicles, and autonomous vehicles. According to recent surveys over 65% of all new light vehicles shipped will have features like adaptive cruise control, automatic emergency braking, and blind spot monitoring by 2030. All these emerging technologies are driving the growth of embedded systems in automotive applications. Security and defense is another major sub segment in the embedded computing market owing to rising implementation of thermal weapon sights, combat management systems, imaging payloads and guidance systems in warships, aircraft carriers and fighter jets. Real-time information, enhanced situational awareness and integrated mission capabilities are some key priorities for embedded systems in defense applications. Various nations are also focusing on developing autonomous weapons which will further augment demand in coming years. Global Analysis North America dominates the global embedded computing market with a share of over 35% due to substantial research funding and presence of major OEMs in the region. US and Canada are hub for embedded technology development owing to advancement in networking infrastructure, IoT penetration and adoption of Industry 4.0 concepts. Asia Pacific shows fastest growth momentum led by China, India, Japan and South Korea. Low manufacturing cost and government initiatives to digitize industries are driving Asia Pacific market. Intensifying Sino-US trade war may impact supply chain dynamics in long run. Europe captures around 25% market share led by Germany, United Kingdom and France.

Get more insights on Embedded Computing Market

About Author:

Money Singh is a seasoned content writer with over four years of experience in the market research sector. Her expertise spans various industries, including food and beverages, biotechnology, chemical and materials, defense and aerospace, consumer goods, etc. (https://www.linkedin.com/in/money-singh-590844163)

[srqrobotic]

SRQ Robotics: Pioneering Advanced Embedded Systems and IoT Solutions

In an era where technology is rapidly evolving, SRQ Robotics emerges as a leader in Embedded Systems Development and IoT Technologies. Specializing in IoT solutions and algorithm development, SRQ Robotics is setting new benchmarks in the tech industry.

At the heart of SRQ Robotics' innovation lies a diverse range of microcontrollers, including ESP32, NRF52, Arduino, STM32, and PSoC6, forming the foundation of their state-of-the-art solutions. Their expertise extends to developing advanced IoT technologies with capabilities in wireless communication and seamless website & dashboard integrations, revolutionizing interconnected systems.

SRQ Robotics showcases exceptional skill in sensor technology and communication systems, utilizing a wide array of sensors such as IMUs, Accelerometers, Gyroscopes, BMS, Ultrasonic Sensors, ToF sensors, GPS, Encoders, Digital Pressure Sensors, and Temperature Sensors. Their proficiency in custom library development in Arduino, C++, C, and Python ensures efficient and harmonious system integration.

The company's excellence in WiFi, Bluetooth, and BLE systems is marked by custom data packet structures, emphasizing speedy and reliable communication. This meticulous attention to communication protocols underscores their commitment to performance and reliability in the realm of Embedded Systems and IoT Technologies.

SRQ Robotics' prowess in digital signal processing is evident in their implementation of advanced algorithms for signal refinement and data extraction. Their noise filtering algorithms guarantee the reliability and accuracy of their systems.

Offering end-to-end services, SRQ Robotics excels from electronic component selection and circuit schematic designing to PCB designing, prototyping, manufacturing, and rigorous testing and debugging. Their dedication to quality extends to precise firmware implementation, ensuring flawless project realization.

Their diverse project portfolio spans remote patient monitoring systems, innovative fitness trackers, smart agriculture management systems, advanced drone flight controllers, and industrial machine controller circuits. Each project reflects their holistic approach and commitment to excellence.

SRQ Robotics is not just an organization; it's a beacon of innovation in the tech world, redefining industry standards and leading the way in Embedded Systems and IoT Technologies.

For more details please visit: - https://www.srqrobotics.com/

Contact Info:

SRQ Robotics

Email:  info@srqrobotics.com

Phone No.: +1 (737) 710-1504

[alexanderkorotynskiy]

We are a development partner for electronics, embedded software and applications

We are a Czech company with innovative thinking. We connect worlds of software and electronics. We manage projects to create high added value and to give our customers an edge over the competition. We like to approach our work systematically and we are convinced that order and correct system create half of success.

Our customers are both bigger and smaller companies.

Most of our customers do expect long term cooperation in development of electronic devices or software development. Some of our customers use only partial services such as PCB design or embedded software and apps development. We also provide electronics production for our partners.

We are convinced that mutual communication is the right basis for successful partnerships. That’s why we focus on proper communication between our team and customers.

[industrydesignservices]

Teksun Inc is an ISO 9001:2015 certified IoT and AI Solutions Company specializing in Product Engineering Services supporting ODM & OEM for numerous B2B Applications & Use Cases. To know more about browse: https://teksun.com/ Contact us ID: marketing@teksun.com

[utopicwork]

Out of curiousity, how did you get into doing this sort of computer work? Especially more low level stuff. :]

How can other people get into it / what would you like to see people make in the future in this area?

- Aspiring Programmer

I was an extremely poor kid, in middle school I learned about piracy which led to me getting into FOSS software for media conversion so I could load a bunch of media onto my psp. A short time later I learned about cfw, custom firmware, for psps when I was trying to figure out how pirating games for the system worked, that led to my first hardware hacking, at the time you needed to make a "magic battery" in order to save money on hacking the system which luckily for me I was able to do with a busted battery. That was really my big start because it was so exciting to be a poor kid with access to tons of games and media all of a sudden. Since then I've been very interested in firmware work and embedded systems, though I definitely didnt know thats what it was at the time.

For getting into software/hardware hacking/programming in a similar way I'd seriously recommend getting a cheap SBC, something like a Raspberry Pi Zero or just a Raspberry Pi is a good place to start especially since there are tons of projects for those boards that you can hack on and tons of very useful programs like pi-hole which does DNS ad blocking.

As to what I'd like to see people do: more projects dealing with media on these kinds of systems, video djing, glitch art, etc, because usually you're limited to something like VLC for media.

[bermondseysblog]

What Are the Challenges of Implementing Embedded Machine Learning?

Implementing Embedded Machine Learning presents unique challenges that Bermondsey Electronics Limited is actively addressing to revolutionize industries, especially in the realms of embedded firmware and software, as well as automotive embedded systems. At the heart of these challenges lies the task of integrating sophisticated machine learning algorithms into devices with limited computational power and memory. This not only requires optimizing algorithms for efficiency but also rethinking the architecture of embedded systems to accommodate the complexities of artificial intelligence.

Embedded firmware and software must be meticulously designed to support the demands of embedded machine learning, ensuring seamless operation within the constrained environments of IoT devices, wearables, and automotive systems. The need for real-time data processing and decision-making in these applications adds another layer of complexity, demanding high levels of reliability and performance from the embedded systems.

Moreover, the integration of embedded machine learning into automotive embedded systems introduces stringent requirements for safety and robustness. These systems must be capable of making accurate, real-time decisions in critical scenarios, necessitating rigorous testing and validation processes to meet industry standards and ensure the safety of users.

Bermondsey Electronics Limited is at the forefront of tackling these challenges, leveraging their expertise in embedded firmware and software to push the boundaries of what's possible with embedded machine learning. Through innovative solutions and cutting-edge research, they aim to unlock the full potential of this technology, driving advancements in IoT, wearables, and automotive industries. For more info visit us now!

[nitte-university-blog]

Essential Skills Every Electronics Engineer Should Master

Electronics engineering is an exciting and constantly evolving field. With new technologies emerging every day, the need for skilled professionals has never been greater. If you're pursuing a B Tech in Electrical and Electronics Engineering or exploring options at B Tech colleges for Electrical and Electronics, it's crucial to know which skills can set you apart in this competitive domain.

Let’s dive into the essential skills every aspiring electronics engineer should master.

Strong Foundation in Circuit Design

Circuit design is at the heart of electronics engineering. Understanding how to create, analyze, and optimize circuits is a must-have skill. Whether you’re designing a simple resistor network or a complex integrated circuit, mastering tools like SPICE and PCB design software can make your designs efficient and innovative.

Programming Proficiency

Electronics and programming often go hand in hand. Languages like Python, C, and MATLAB are widely used to simulate electronic systems, automate processes, and even build firmware for devices. Engineers proficient in programming can troubleshoot problems effectively and add versatility to their skill set.

Knowledge of Embedded Systems

Embedded systems are everywhere—from your smartphone to your washing machine. As an electronics engineer, understanding microcontrollers, sensors, and actuators is crucial for creating devices that work seamlessly in our daily lives. Hands-on experience with platforms like Arduino and Raspberry Pi can be a great way to start.

Problem-Solving and Analytical Thinking

Electronics engineers often face unique challenges, such as debugging faulty circuits or improving system performance. Strong problem-solving and analytical thinking skills help them identify issues quickly and find effective solutions. To cultivate these skills, tackle real-world projects during your coursework or internships.

Familiarity with Power Systems

As the world moves toward renewable energy and smart grids, knowledge of power systems is becoming increasingly important. Engineers in this field should understand how electrical power is generated, transmitted, and distributed and how to design energy-efficient systems.

Effective Communication Skills

Electronics engineering often involves working in teams with other engineers, designers, or clients. Communicating your ideas clearly—whether through reports, presentations, or technical drawings—is just as important as your technical skills. Strong communication ensures that your brilliant ideas come to life effectively.

Adaptability to New Technologies

Technology evolves rapidly, and staying updated is essential for electronics engineers. Whether you’re learning about IoT (Internet of Things), AI integration, or 5G communication, an adaptable mindset will ensure you remain relevant and capable of tackling emerging challenges.

Hands-On Experience

While theoretical knowledge is important, nothing beats practical experience. Participating in labs, internships, or personal projects gives you the opportunity to apply what you’ve learned and develop confidence in your skills. Employers often value hands-on experience as much as your academic achievements.

Preparing for Success in Electronics Engineering

Pursuing a B Tech in Electrical and Electronics Engineering is the first step toward mastering these skills. The best B Tech colleges for Electrical and Electronics not only provide a strong academic foundation but also opportunities for practical learning and industry exposure. By focusing on the skills mentioned above, you can position yourself as a competent and innovative engineer ready to tackle real-world challenges.

[iotric1]

Transforming Businesses with IoT: How Iotric’s IoT App Development Services Drive Innovation

In these days’s fast-paced virtual world, companies should include smart technology to stay ahead. The Internet of Things (IoT) is revolutionizing industries by way of connecting gadgets, collecting actual-time data, and automating approaches for stronger efficiency. Iotric, a leading IoT app improvement carrier issuer, makes a speciality of developing contemporary answers that help businesses leverage IoT for boom and innovation.

Why IoT is Essential for Modern Businesses IoT generation allows seamless communique between gadgets, permitting agencies to optimize operations, enhance patron enjoy, and reduce charges. From smart homes and wearable gadgets to business automation and healthcare monitoring, IoT is reshaping the manner industries perform. With a complicated IoT app, companies can:

Enhance operational efficiency by automating methods Gain real-time insights with linked devices Reduce downtime thru predictive renovation Improve purchaser revel in with smart applications

Strengthen security with far off tracking

Iotric: A Leader in IoT App Development Iotric is a trusted name in IoT app development, imparting cease-to-stop solutions tailored to numerous industries. Whether you want an IoT mobile app, cloud integration, or custom firmware improvement, Iotric can provide modern answers that align with your commercial enterprise goals.

Key Features of Iotric’s IoT App Development Service Custom IoT App Development – Iotric builds custom designed IoT programs that seamlessly connect to various gadgets and systems, making sure easy statistics waft and person-pleasant interfaces.

Cloud-Based IoT Solutions – With knowledge in cloud integration, Iotric develops scalable and comfy cloud-based totally IoT programs that permit real-time statistics access and analytics.

Embedded Software Development – Iotric focuses on developing green firmware for IoT gadgets, ensuring optimal performance and seamless connectivity.

IoT Analytics & Data Processing – By leveraging AI-driven analytics, Iotric enables businesses extract valuable insights from IoT facts, enhancing decision-making and operational efficiency.

IoT Security & Compliance – Security is a pinnacle precedence for Iotric, ensuring that IoT programs are covered in opposition to cyber threats and comply with enterprise standards.

Industries Benefiting from Iotric’s IoT Solutions Healthcare Iotric develops IoT-powered healthcare programs for far off patient tracking, clever wearables, and real-time health monitoring, making sure better patient care and early diagnosis.

Manufacturing With business IoT (IIoT) solutions, Iotric facilitates manufacturers optimize manufacturing traces, lessen downtime, and decorate predictive preservation strategies.

Smart Homes & Cities From smart lighting and security structures to intelligent transportation, Iotric’s IoT solutions make contributions to building linked and sustainable cities.

Retail & E-commerce Iotric’s IoT-powered stock monitoring, smart checkout structures, and personalized purchaser reviews revolutionize the retail region.

Why Choose Iotric for IoT App Development? Expert Team: A team of professional IoT builders with deep industry understanding Cutting-Edge Technology: Leverages AI, gadget gaining knowledge of, and big records for smart solutions End-to-End Services: From consultation and development to deployment and support Proven Track Record: Successful IoT projects throughout more than one industries

Final Thoughts As organizations maintain to embody digital transformation, IoT stays a game-changer. With Iotric’s advanced IoT app improvement services, groups can unencumber new possibilities, beautify efficiency, and live ahead of the competition. Whether you are a startup or an established agency, Iotric offers the expertise and innovation had to carry your IoT vision to lifestyles.

Ready to revolutionize your commercial enterprise with IoT? Partner with Iotric these days and enjoy the destiny of connected generation!

[letsremotify]

What Future Trends in Software Engineering Can Be Shaped by C++

The direction of innovation and advancement in the broad field of software engineering is greatly impacted by programming languages. C++ is a well-known programming language that is very efficient, versatile, and has excellent performance. In terms of the future, C++ will have a significant influence on software engineering, setting trends and encouraging innovation in a variety of fields. 

In this blog, we'll look at three key areas where the shift to a dynamic future could be led by C++ developers.

1. High-Performance Computing (HPC) & Parallel Processing

Driving Scalability with Multithreading

Within high-performance computing (HPC), where managing large datasets and executing intricate algorithms in real time are critical tasks, C++ is still an essential tool. The fact that C++ supports multithreading and parallelism is becoming more and more important as parallel processing-oriented designs, like multicore CPUs and GPUs, become more commonplace.

Multithreading with C++

At the core of C++ lies robust support for multithreading, empowering developers to harness the full potential of modern hardware architectures. C++ developers adept in crafting multithreaded applications can architect scalable systems capable of efficiently tackling computationally intensive tasks.

C++ Empowering HPC Solutions

Developers may redefine efficiency and performance benchmarks in a variety of disciplines, from AI inference to financial modeling, by forging HPC solutions with C++ as their toolkit. Through the exploitation of C++'s low-level control and optimization tools, engineers are able to optimize hardware consumption and algorithmic efficiency while pushing the limits of processing capacity.

2. Embedded Systems & IoT

Real-Time Responsiveness Enabled

An ability to evaluate data and perform operations with low latency is required due to the widespread use of embedded systems, particularly in the quickly developing Internet of Things (IoT). With its special combination of system-level control, portability, and performance, C++ becomes the language of choice.

C++ for Embedded Development

C++ is well known for its near-to-hardware capabilities and effective memory management, which enable developers to create firmware and software that meet the demanding requirements of environments with limited resources and real-time responsiveness. C++ guarantees efficiency and dependability at all levels, whether powering autonomous cars or smart devices.

Securing IoT with C++

In the intricate web of IoT ecosystems, security is paramount. C++ emerges as a robust option, boasting strong type checking and emphasis on memory protection. By leveraging C++'s features, developers can fortify IoT devices against potential vulnerabilities, ensuring the integrity and safety of connected systems.

3. Gaming & VR Development

Pushing Immersive Experience Boundaries

In the dynamic domains of game development and virtual reality (VR), where performance and realism reign supreme, C++ remains the cornerstone. With its unparalleled speed and efficiency, C++ empowers developers to craft immersive worlds and captivating experiences that redefine the boundaries of reality.

Redefining VR Realities with C++

When it comes to virtual reality, where user immersion is crucial, C++ is essential for producing smooth experiences that take users to other worlds. The effectiveness of C++ is crucial for preserving high frame rates and preventing motion sickness, guaranteeing users a fluid and engaging VR experience across a range of applications.

C++ in Gaming Engines

C++ is used by top game engines like Unreal Engine and Unity because of its speed and versatility, which lets programmers build visually amazing graphics and seamless gameplay. Game developers can achieve previously unattainable levels of inventiveness and produce gaming experiences that are unmatched by utilizing C++'s capabilities.

Conclusion

In conclusion, there is no denying C++'s ongoing significance as we go forward in the field of software engineering. C++ is the trend-setter and innovator in a variety of fields, including embedded devices, game development, and high-performance computing. C++ engineers emerge as the vanguards of technological growth, creating a world where possibilities are endless and invention has no boundaries because of its unmatched combination of performance, versatility, and control.

FAQs about Future Trends in Software Engineering Shaped by C++

How does C++ contribute to future trends in software engineering?

C++ remains foundational in software development, influencing trends like high-performance computing, game development, and system programming due to its efficiency and versatility.

Is C++ still relevant in modern software engineering practices?

Absolutely! C++ continues to be a cornerstone language, powering critical systems, frameworks, and applications across various industries, ensuring robustness and performance.

What advancements can we expect in C++ to shape future software engineering trends?

Future C++ developments may focus on enhancing parallel computing capabilities, improving interoperability with other languages, and optimizing for emerging hardware architectures, paving the way for cutting-edge software innovations.

[this-week-in-rust]

This Week in Rust 541

Hello and welcome to another issue of This Week in Rust! Rust is a programming language empowering everyone to build reliable and efficient software. This is a weekly summary of its progress and community. Want something mentioned? Tag us at @ThisWeekInRust on Twitter or @ThisWeekinRust on mastodon.social, or send us a pull request. Want to get involved? We love contributions.

This Week in Rust is openly developed on GitHub and archives can be viewed at this-week-in-rust.org. If you find any errors in this week's issue, please submit a PR.

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Changes to u128/i128 layout in 1.77 and 1.78

Newsletters

This Week In Bevy: 2d Lighting, Particle Systems, Meshlets, and more

Project/Tooling Updates

Dioxus 0.5: Signal Rewrite, Remove lifetimes, CSS Hotreloading, and more!

EtherCrab 0.4.0: Pure Rust EtherCAT, now with Distributed Clocks

nethsm 0.1.0 - first release for this high level library for the Nitrokey NetHSM

BugStalker v0.1.3 released - first release of rust debugger

git-cliff 2.2.0 is released! (highly customizable changelog generator)

Observations/Thoughts

On Reusing Arc and Rc in Rust

Who killed the network switch?

Xr0 Makes C Safer than Rust

Easy Mode Rust

Bashing Bevy To Bait Internet Strangers Into Improving My Code

Conway's Game of Life Through Time

Functions Everywhere, Only Once: Writing Functions for the Everywhere Computer

Rust Bytes: Is Rust the Future of JavaScript Tooling?

Explaining the internals of async-task from the ground up

Programming ESP32 with Rust: OTA firmware update

Fast Development In Rust, Part 2

Rust Walkthroughs

Modelling Universal Domain Types in Rust

[video] developerlife.com - Get started with unit testing in Rust

Research

Rust Digger: More than 14% of crates configure rustfmt. 35 Have both rustfmt.toml and .rustfmt.toml

Miscellaneous

Building a Managed Postgres Service in Rust: Part 1

Beware of the DashMap deadlock

Embedded Rust Bluetooth on ESP: BLE Client

Rust Unit and Integration Testing in RustRover

[podcast] cargo-semver-checks with Predrag Gruevski — Rustacean Station

[video] Data Types - Part 3 of Idiomatic Rust in Simple Steps

[video] Deconstructing WebAssembly Components by Ryan Levick @ Wasm I/O 2024

[video] Extreme Clippy for new Rust crates

[video] [playlist] Bevy GameDev Meetup #2 - March 2024

Building Stock Market Engine from scratch in Rust (I)

Crate of the Week

This week's crate is cargo-unfmt, a formatter that formats your code into block-justified text, which sacrifices some readability for esthetics.

Thanks to Felix Prasanna for the self-suggestion!

Please submit your suggestions and votes for next week!

Call for Testing

An important step for RFC implementation is for people to experiment with the implementation and give feedback, especially before stabilization. The following RFCs would benefit from user testing before moving forward:

No calls for testing were issued this week.

If you are a feature implementer and would like your RFC to appear on the above list, add the new call-for-testing label to your RFC along with a comment providing testing instructions and/or guidance on which aspect(s) of the feature need testing.

Call for Participation; projects and speakers

CFP - Projects

Always wanted to contribute to open-source projects but did not know where to start? Every week we highlight some tasks from the Rust community for you to pick and get started!

Some of these tasks may also have mentors available, visit the task page for more information.

greptimedb - Support specifying time ranges in the COPY FROM statement to avoid importing unwanted data

greptimedb - Support converting UNIX epoch numbers to specified timezone in to_timezone function

mirrord - Capability to modify the local listen address

mirrord - Fix all check-rust-docs warnings

Hyperswitch - [REFACTOR]: Remove Default Case Handling - Braintree

Hyperswitch - [REFACTOR]: Remove Default Case Handling - Fiserv

Hyperswitch - [REFACTOR]: Remove Default Case Handling - Globepay

If you are a Rust project owner and are looking for contributors, please submit tasks here.

CFP - Speakers

Are you a new or experienced speaker looking for a place to share something cool? This section highlights events that are being planned and are accepting submissions to join their event as a speaker.

* RustConf 2024 | Closes 2024-04-25 | Montreal, Canada | Event date: 2024-09-10 * RustLab 2024 | Closes 2024-05-01 | Florence, Italy | Event date: 2024-11-09 - 2024-11-11 * EuroRust 2024| Closes 2024-06-03 | Vienna, Austria & online | Event date: 2024-10-10 * Scientific Computing in Rust 2024| Closes 2024-06-14 | online | Event date: 2024-07-17 - 2024-07-19 * Conf42 Rustlang 2024 | Closes 2024-07-22 | online | Event date: 2024-08-22

If you are an event organizer hoping to expand the reach of your event, please submit a link to the submission website through a PR to TWiR.

Updates from the Rust Project

431 pull requests were merged in the last week

CFI: (actually) check that methods are object-safe before projecting their receivers to dyn Trait in CFI

CFI: abstract Closures and Coroutines

CFI: fix drop and drop_in_place

CFI: fix methods as function pointer cast

CFI: support calling methods on supertraits

add a CurrentGcx type to let the deadlock handler access TyCtxt

add basic trait impls for f16 and f128

add detection of (Partial)Ord methods in the ambiguous_wide_pointer_comparisons lint

add rust-lldb pretty printing for Path and PathBuf

assert that ADTs have the right number of args

codegen const panic messages as function calls

coverage: re-enable UnreachablePropagation for coverage builds

delegation: fix ICE on wrong Self instantiation

delegation: fix ICE on wrong self resolution

do not attempt to write ty::Err on binding that isn't from current HIR Owner

don't check match scrutinee of postfix match for unused parens

don't inherit codegen attrs from parent static

eagerly instantiate closure/coroutine-like bounds with placeholders to deal with binders correctly

eliminate UbChecks for non-standard libraries

ensure std is prepared for cross-targets

fix diagnostics for async block cloning

fixup parsing of rustc_never_type_options attribute

function ABI is irrelevant for reachability

improve example on inserting to a sorted vector to avoid shifting equal elements

in ConstructCoroutineInClosureShim, pass receiver by mut ref, not mut pointer

load missing type of impl associated constant from trait definition

make TyCtxt::coroutine_layout take coroutine's kind parameter

match ergonomics 2024: implement mutable by-reference bindings

match lowering: build the Place instead of keeping a PlaceBuilder around

match lowering: consistently merge simple or-patterns

match lowering: handle or-patterns one layer at a time

match lowering: sort Eq candidates in the failure case too

pattern analysis: Require enum indices to be contiguous

replace regions in const canonical vars' types with 'static in next-solver canonicalizer

require Debug for Pointee::Metadata

require DerefMut and DerefPure on deref!() patterns when appropriate

rework opaque type region inference

simplify proc macro bridge state

simplify trim-paths feature by merging all debuginfo options together

store segment and module in UnresolvedImportError

suggest associated type bounds on problematic associated equality bounds

suggest correct path in include_bytes!

use the Align type when parsing alignment attributes

warn against implementing Freeze

enable cargo miri test doctests

miri: avoid mutating the global environment

miri: cotrol stacked borrows consistency check with its own feature flag

miri: experiment with macOS M1 runners

miri: extern-so: give the version script a better name; show errors from failing to build the C lib

miri: speed up Windows CI

miri: tree Borrows: Make tree root always be initialized

don't emit load metadata in debug mode

avoid some unnecessary query invocations

stop doing expensive work in opt_suggest_box_span eagerly

stabilize ptr.is_aligned, move ptr.is_aligned_to to a new feature gate

stabilize unchecked_{add,sub,mul}

make {integer}::from_str_radix constant

optimize core::char::CaseMappingIter

implement Vec::pop_if

remove len argument from RawVec::reserve_for_push

less generic code for Vec allocations

UnixStream: override read_buf

num::NonZero::get can be 1 transmute instead of 2

fix error message for env! when env var is not valid Unicode

futures: make access inner of futures::io::{BufReader,BufWriter} not require inner trait bound

regex-syntax: accept {,n} as an equivalent to {0,n}

cargo add: Preserve comments when updating simple deps

cargo generate-lockfile: hold lock before querying index

cargo toml: Warn on unused workspace.dependencies keys on virtual workspaces

cargo fix: bash completion fallback in nounset mode

clippy: large_stack_frames: print total size and largest component

clippy: type_id_on_box: lint on any Box<dyn _>

clippy: accept String in span_lint* functions directly to avoid unnecessary clones

clippy: allow filter_map_identity when the closure is typed

clippy: allow manual_unwrap_or_default in const function

clippy: don't emit duplicated_attribute lint on "complex" cfgs

clippy: elide unit variables linted by let_unit and use () directly instead

clippy: fix manual_unwrap_or_default suggestion ignoring side-effects

clippy: fix suggestion for len_zero with macros

clippy: make sure checked type implements Try trait when linting question_mark

clippy: move box_default to style, do not suggest turbofishes

clippy: move mixed_attributes_style to style

clippy: new lint legacy_numeric_constants

clippy: restrict manual_clamp to const case, bring it out of nursery

rust-analyzer: add rust-analyzer.cargo.allTargets to configure passing --all-targets to cargo invocations

rust-analyzer: implement resolving and lowering of Lifetimes (no inference yet)

rust-analyzer: fix crate IDs when multiple workspaces are loaded

rust-analyzer: ADT hover considering only type or const len not lifetimes

rust-analyzer: check for client support of relative glob patterns before using them

rust-analyzer: lifetime length are not added in count of params in highlight

rust-analyzer: revert debug extension priorities

rust-analyzer: silence mismatches involving unresolved projections

rust-analyzer: use lldb when debugging with C++ extension on MacOS

rust-analyzer: pattern analysis: Use contiguous indices for enum variants

rust-analyzer: prompt the user to reload the window when enabling test explorer

rust-analyzer: resolve tests per file instead of per crate in test explorer

Rust Compiler Performance Triage

A pretty quiet week, with most changes (dropped from the report below) being due to continuing bimodality in the performance data. No particularly notable changes landed.

Triage done by @simulacrum. Revision range: 73476d49..3d5528c

1 Regressions, 2 Improvements, 5 Mixed; 0 of them in rollups 61 artifact comparisons made in total

Full report here

Approved RFCs

Changes to Rust follow the Rust RFC (request for comments) process. These are the RFCs that were approved for implementation this week:

Merge RFC 3543: patchable-function-entry

Final Comment Period

Every week, the team announces the 'final comment period' for RFCs and key PRs which are reaching a decision. Express your opinions now.

RFCs

No RFCs entered Final Comment Period this week.

Tracking Issues & PRs

Rust

[disposition: merge] Pass list of defineable opaque types into canonical queries

[disposition: merge] Document overrides of clone_from() in core/std

[disposition: merge] Tracking Issue for Seek::seek_relative

[disposition: merge] Tracking Issue for generic NonZero

[disposition: merge] Tracking Issue for cstr_count_bytes

[disposition: merge] privacy: Stabilize lint unnameable_types

[disposition: merge] Stabilize Wasm target features that are in phase 4 and 5

Cargo

[disposition: merge] feat(add): Stabilize MSRV-aware version req selection

New and Updated RFCs

[new] RFC: Add freeze intrinsic and related library functions

[new] RFC: Add a special TryFrom and Into derive macro, specifically for C-Style enums

[new] re-organise the compiler team

Upcoming Events

Rusty Events between 2024-04-03 - 2024-05-01 🦀

Virtual

2024-04-03 | Virtual (Cardiff, UK) | Rust and C++ Cardiff

Rust for Rustaceans Book Club: Chapter 4 - Error Handling

2024-04-03 | Virtual (Indianapolis, IN, US) | Indy Rust

Indy.rs - with Social Distancing

2024-04-04 | Virtual (Charlottesville, NC, US) | Charlottesville Rust Meetup

Crafting Interpreters in Rust Collaboratively

2024-04-09 | Virtual (Dallas, TX, US) | Dallas Rust

BlueR: a Rust Based Tool for Robust and Safe Bluetooth Control

2024-04-11 | Virtual + In Person (Berlin, DE) | OpenTechSchool Berlin + Rust Berlin

Rust Hack and Learn | Mirror: Rust Hack n Learn Meetup

2024-04-11 | Virtual (Nürnberg, DE) | Rust Nüremberg

Rust Nürnberg online

2024-04-15 & 2024-04-16 | Virtual | Mainmatter

Remote Workshop: Testing for Rust projects – going beyond the basics

2024-04-16 | Virtual (Dublin, IE) | Rust Dublin

A reverse proxy with Tower and Hyperv1

2024-04-16 | Virtual (Washinigton, DC, US) | Rust DC

Mid-month Rustful

2024-04-17 | Virtual (Vancouver, BC, CA) | Vancouver Rust

Rust Study/Hack/Hang-out

2024-04-18 | Virtual (Charlottesville, NC, US) | Charlottesville Rust Meetup

Crafting Interpreters in Rust Collaboratively

2024-04-25 | Virtual + In Person (Berlin, DE) | OpenTechSchool Berlin + Rust Berlin

Rust Hack and Learn | Mirror: Rust Hack n Learn Meetup

2024-04-30 | Virtual (Dallas, TX, US) | Dallas Rust

Last Tuesday

2024-05-01 | Virtual (Indianapolis, IN, US) | Indy Rust

Indy.rs - with Social Distancing

Africa

2024-04-05 | Kampala, UG | Rust Circle Kampala

Rust Circle Meetup

Europe

2024-04-10 | Cambridge, UK | Cambridge Rust Meetup

Rust Meetup Reboot 3

2024-04-10 | Cologne/Köln, DE | Rust Cologne

This Month in Rust, April

2024-04-10 | Manchester, UK | Rust Manchester

Rust Manchester April 2024

2024-04-10 | Oslo, NO | Rust Oslo

Rust Hack'n'Learn at Kampen Bistro

2024-04-11 | Bordeaux, FR | Rust Bordeaux

Rust Bordeaux #2 : Présentations

2024-04-11 | Reading, UK | Reading Rust Workshop

Reading Rust Meetup at Browns

2024-04-15 | Zagreb, HR | impl Zagreb for Rust

Rust Meetup 2024/04: Building cargo projects with NIX

2024-04-16 | Bratislava, SK | Bratislava Rust Meetup Group

Rust Meetup by Sonalake #5

2024-04-16 | Leipzig, DE | Rust - Modern Systems Programming in Leipzig

winnow/nom

2024-04-16 | Munich, DE + Virtual | Rust Munich

Rust Munich 2024 / 1 - hybrid

2024-04-17 | Bergen, NO | Hubbel kodeklubb

Lær Rust med Conways Game of Life

2024-04-20 | Augsburg, DE | Augsburger Linux-Infotag 2024

Augsburger Linux-Infotag 2024: Workshop Einstieg in Embedded Rust mit dem Raspberry Pico WH

2024-04-23 | Berlin, DE | Rust Berlin

Rust'n'Tell - Rust for the Web

2024-04-25 | Aarhus, DK | Rust Aarhus

Talk Night at MFT Energy

2024-04-25 | Berlin, DE | Rust Berlin

Rust and Tell

2024-04-27 | Basel, CH | Rust Basel

Fullstack Rust - Workshop #2

North America

2024-04-04 | Mountain View, CA, US | Mountain View Rust Meetup

Rust Meetup at Hacker Dojo

2024-04-04 | Portland, OR, US | PDXRust Meetup

Hack Night and First Post-Pandemic Meetup Restart

2024-04-09 | New York, NY, US | Rust NYC

Rust NYC Monthly Meetup

2024-04-10 | Boulder, CO, US | Boulder Rust Meetup

Rust Meetup: Better Builds w/ Flox + Hangs

2024-04-11 | Seattle, WA, US | Seattle Rust User Group

Seattle Rust User Group Meetup

2024-04-11 | Spokane, WA, US | Spokane Rust

Monthly Meetup: Topic TBD!

2024-04-15 | Somerville, MA, US | Boston Rust Meetup

Davis Square Rust Lunch, Apr 15

2024-04-16 | San Francisco, CA, US | San Francisco Rust Study Group

Rust Hacking in Person

2024-04-16 | Seattle, WA, US | Seattle Rust User Group

Seattle Rust User Group: Meet Servo and Robius Open Source Projects

2024-04-18 | Mountain View, CA, US | Mountain View Rust Meetup

Rust Meetup at Hacker Dojo

2024-04-24 | Austin, TX, US | Rust ATX

Rust Lunch - Fareground

2024-04-25 | Nashville, TN, US | Music City Rust Developers

Music City Rust Developers - Async Rust on Embedded

2024-04-26 | Boston, MA, US | Boston Rust Meetup

North End Rust Lunch, Apr 26

Oceania

2024-04-30 | Canberra, ACT, AU | Canberra Rust User Group

April Meetup

If you are running a Rust event please add it to the calendar to get it mentioned here. Please remember to add a link to the event too. Email the Rust Community Team for access.

Jobs

Please see the latest Who's Hiring thread on r/rust

Quote of the Week

Panstromek: I remember reading somewhere (probably here) that borrow checking has O(n^3) asymptotic complexity, relative to the size of the function.

Nadrieril: Compared to match exhaustiveness which is NP-hard and trait solving which is undecidable, a polynomial complexity feels refreshingly sane.

– Panstromek and Nadrieril on zulip

Thanks to Kevin Reid for the suggestion!

Please submit quotes and vote for next week!

This Week in Rust is edited by: nellshamrell, llogiq, cdmistman, ericseppanen, extrawurst, andrewpollack, U007D, kolharsam, joelmarcey, mariannegoldin, bennyvasquez.

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Discuss on r/rust