SMLight’s SMHUB Nano Mg24 may look like the company’s earlier SLZB-06p Zigbee to Ethernet/WiFi/USB coordinators, but it’s a more powerful Linux-based Zigbee/Thread Smart Hub that pairs SOPHGO SG2000 RISC-V SoC with Silicon Labs MG24 multi-protocol wireless MCU. Unlike traditional Zigbee/Thread adapters that connect to a host through USB or Ethernet, the SMHUB Nano Mg24 is an all-in-one solution that runs all major automation apps directly on the device, eliminating the need for a Raspberry Pi, Mini PC, or other hardware server. SMHUB Nano Mg24 specifications: SoC – SOPHGO SG2000 CPU cores 1x C906 64-bit RISC-V core @ 1GHz or 1x Arm Cortex-A53 core @ 1GHz (selectable at boot) 1x C906 64-bit RISC-V core @ 700MHz MCU – 8051 8-bit microcontroller core @ 25 to 300 MHz with 6KB SRAM GPU – None VPU – H.265/H.264 video decoding and encoding (5M @ 30fps) ISP – 5M @ 30fps NPU – 0.5 TOPS Memory […]

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Most scraping hiccups do not start in code. They start at the network edge, where a proxy either connects fast, negotiates the right protocol, and returns clean content, or it stalls, downgrades security, and wastes threads. Building a simple but rigorous proxy QA routine pays for itself, especially when jobs run at scale.

Why proxy validation deserves engineering time

Over 90% of page loads in major browsers now occur over HTTPS. Any proxy that cannot consistently complete modern TLS handshakes will underperform on the open web. TLS 1.3 reduces the handshake to one round trip, while TLS 1.2 takes two. That single RTT difference shows up directly in your tail latency when each request binds to a fresh connection.

IPv6 also matters. More than a third of users now reach the internet over IPv6. If your pool cannot originate IPv6 where destinations prefer it, you will see sporadic connection failures, geolocation mismatches, or routing detours that look like random timeouts but are actually path issues.

For scrapers, another quiet tax is chattiness. The median page makes roughly dozens of requests per load, often around 70. Without multiplexing and keep-alive, each object drags the handshake cost across the wire repeatedly. Proxies that fully support HTTP/2 or HTTP/3 and reuse connections help cut that overhead and stabilize throughput.

The minimum viable proxy test suite

Connectivity: TCP reachability to target ports and DNS resolution from the proxy’s point of view. Include both IPv4 and IPv6 probes.

TLS capability: Confirm TLS 1.3 support and verify cipher suites that modern browsers use. Record handshake time separately from server think time.

HTTP versions: Negotiate HTTP/2 and HTTP/3 where available. Verify multiplexing actually works by issuing multiple concurrent requests over one connection.

Latency percentiles: Capture p50, p90, and p99 for connect, TLS, first byte, and total time. Latency distributions are more useful than averages.

Success ratio: Track the share of 2xx and expected 3xx responses. Flag 4xx and 5xx separately, and isolate network-level errors from application rejections.

Content integrity: Validate DOM size, response length, or hashes to catch soft blocks and interstitials that still return 200.

IP reputation and classification: Detect hosting vs residential, known abusive ranges, and whether the IP appears on common blocklists.

Geo and ASN diversity: Confirm country, region, and autonomous system. Diversity reduces correlated failures when a destination rate-limits a single network.

Session stability: Measure connection reuse and error rates over long-lived sessions to surface proxies that degrade under load.

Practical thresholds that keep jobs steady

Set targets that align with protocol realities. A one-RTT TLS 1.3 handshake should routinely beat a two-RTT TLS 1.2 handshake from the same vantage point. If the proxy cannot negotiate TLS 1.3 with destinations that clearly support it, consider it a reliability risk.

For latency, track both median and p99. A proxy with a respectable median but a spiky p99 will still stall queues. Make p99 first-byte time a gating metric for production pools. When geography is fixed, p99 that drifts upward usually hints at congestion, throttling, or fingerprint issues rather than true distance.

On success ratio, separate network failure from application denial. A clean proxy should sustain high success on static assets and public pages. When only dynamic pages fail, investigate fingerprint alignment before discarding the IP.

Fingerprint checks that reduce noisy bans

HTTP headers: Align accept-language, accept-encoding, and user agent families with popular browser norms. Avoid rare combinations.

Protocol posture: Prefer TLS 1.3, support ALPN for h2 and h3, and avoid outdated ciphers that stand out.

TCP behavior: Keep initial windows and MSS values consistent with typical residential paths to reduce anomaly flags.

Cookie and cache handling: Preserve state where the crawl model expects it. Stateless fetches can trigger bot heuristics on some sites.

How to test at scale without burning budget

Warm up proxies against a controlled set of endpoints that represent your workload shape: a mix of static objects, JSON APIs, and HTML pages. Pull 30 to 50 samples per proxy to build stable percentiles before making a judgement. Rotate user agents and vary request concurrency to surface queueing effects.

Insert a single canary crawl for each major destination you care about, but keep it light. The goal is not volume; it is fast signal. When a proxy passes the canary, promote it to a production cohort and keep sampling at a lower rate to catch drift.

Tooling that shortens the feedback loop

You can wire these checks into your own harness, or start with an online proxy checker to triage large lists before deep inspection. The faster you cull bad exits, the fewer false alarms you chase later in the application.

Final take

Proxy QA is a measurable, protocol-driven exercise. Optimize for modern TLS, connection reuse, and stable tail latency, and insist on clean content checks. With HTTPS now dominant, TLS 1.3 shaving a round trip off every new connection, and IPv6 representing a large slice of user paths, the proxies that honor these realities will save you retries, reduce bans, and raise the ceiling on your crawl throughput.

The post Proxy Quality Assurance For Scraping Pipelines: What To Measure And Why It Matters appeared first on IntelligentHQ.

Read more here: https://www.intelligenthq.com/proxy-quality-assurance-for-scraping-pipelines-what-to-measure-and-why-it-matters/

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On November 19th, we held a 60-minute Ask Me Anything session to address your questions about the new Arduino UNO Q, Arduino App Lab, accessible AI, and Arduino’s path forward. Thank you to everyone who joined us live and submitted questions!

As our moderator Julie Chevrier mentioned right away, we have been listening to the community closely and were eager to answer your questions through this AMA – to provide you with information straight from the source, bringing together experts from across the Arduino ecosystem: Andrea Richetta (Arduino Principal Product Evangelist), Adam Benzion (Director, Strategic Partnerships at Qualcomm Technologies, Inc.), Rami Mouro (Senior Engineer and Developer Advocate at Qualcomm Technologies, Inc.), Louis Moreau (Head of Developer Relations at Edge Impulse), and Erwan Gouriou (Principal Software Engineer at STMicroelectronics).

We’ve highlighted some of the key questions addressed during the session below and encourage you to watch the full recording on YouTube.

Community first!

Before diving into the Q&A, we opened the session with a video showcasing incredible projects users have already built with Arduino UNO Q in just over a month since product launch. From retro arcade cabinets and animated pumpkins to weather stations, robot object classification, and even a sound-triggered jacket… you all are our inspiration.

Top questions for the expert panel

The community was also our source for the most frequently asked questions we addressed in the first part of the session – collected from social media and online forums leading up to the event. 

From strictly technical to strategic vision, we discussed it all! Here are just a few of the topics:

• What makes UNO Q stand out in such a crowded market of single-board computers? Andrea and Adam discussed the unique dual-brain architecture, affordability, Arduino ecosystem compatibility, and the seamless software experience that bridges Linux and microcontroller workflows.
• How does the MCU communicate with the Linux side? Rami and Louis explained it best! Arduino UNO Q and Arduino App Lab are designed to communicate seamlessly and get you up and running in minutes – and are ready to go further when you are.
• What are the specifications and capabilities of the onboard MCU? Erwan walked through the STM32 U5 series MCU specs – 2 MB flash, 786 kB RAM, and over 20 communication peripherals make it suitable for a wide range of applications.
• Many community members feel excited but overwhelmed. How will Arduino support users at all levels? As part of our core mission, we have built extensive resources for the community: Project Hub, tutorials, forums are designed to help everyone from complete beginners to experienced developers.
• Will Arduino focus only on Qualcomm silicon or remain multi-vendor? Adam was direct: Arduino will continue to maintain its multi-vendor commitment. The company will continue working with STMicroelectronics, Microchip, Renesas, and other partners.

The elephant in the room: will Arduino remain open source?

This question came up multiple times and in various forms. The answer was unequivocal: yes. Adam emphasized that there’s a 100% commitment to maintain Arduino’s open-source ethos. The Gerber files for UNO Q were released publicly shortly after launch. The board runs Zephyr RTOS under the hood, and Arduino engineers are actively contributing upstream. Actions matter more than words, and Arduino’s actions demonstrate ongoing commitment to open source.

Let’s go live!

In the second half of the session, we fielded questions directly from YouTube chat. Here is just a taste of what you can find in the full video:

• Can UNO Q run ROS 1 and ROS 2? (Spoiler: Yes!)
• Will Arduino IDE become paid software? (No – it’s integral to Arduino and will continue to be free)
• Power management: Can the CPU be powered down and have the MCU wake it up? (Yes!)
• Can I use Yocto (or Foundries) and build from the command line? (Another yes!)
• Will pricing increase in the future? (We have no reason to expect this at the moment)
• Will there be official curriculum offerings for Arduino UNO Q? (We’re working on it, stay tuned)

What’s next

Keep an eye on our YouTube channel for upcoming sessions, including deep-dives into real-time systems and more Arduino UNO Q tutorials. This AMA was just one of many ways we’re working to maintain open dialogue with the community. We’re aware that change can feel uncertain, and we appreciate those who asked tough questions. That openness is what makes this community strong.

Have questions? Leave a comment on the YouTube recording of the live session or join the discussion on the Arduino Forums: our team is active there, and eager to help. Thank you for being part of this journey!

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Read more here: https://blog.arduino.cc/2025/11/28/you-ask-we-answer-lets-talk-about-arduino-uno-q-app-lab-and-the-future-of-accessible-ai/

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Tomorrow Lab’s latest predictions reveal that 2026 will be a defining year for technology, with autonomous AI agents, spatial computing, and neuro-wearables leading the way. Innovations in AI, cybersecurity, and human-machine interfaces are poised to transform everyday life. The firm outlines how these emerging technologies will shift from experimental to essential, creating more intuitive, secure, and energy-efficient systems.

As we approach the end of 2025, the tech industry is abuzz with anticipation for what lies ahead. The future of technology promises to bring transformative shifts that will shape not only the way we work but also how we live and interact with machines. Tomorrow Lab, a leading UK-based product design and engineering studio, has outlined 10 key tech breakthroughs set to define 2026.

According to their team of futurists and technology strategists, these advancements will drive the next era of digital transformation, moving us closer to a world where AI, connectivity, and intelligent devices seamlessly integrate into daily life.

Pepin Gelardi, a technology strategist at Tomorrow Lab, explains, “2026 will be a pivotal year where emerging technologies shift from experimental to essential. Generative AI will evolve beyond task execution and into collaborative co-design, while the smart home transitions into a predictive environment. These technologies won’t just add more gadgets, they will make our world smarter, quieter, and more intuitive.”

Autonomous AI agents: A new breed of co-workers

One of the most exciting developments expected for 2026 is the rise of autonomous AI agents that will act as persistent digital teammates. Moving beyond simple task execution, these AI systems will manage tasks such as email sorting, scheduling coordination, and even negotiation with other AI agents.

Businesses will begin to redesign their workflows to accommodate these autonomous agents, effectively integrating them as fully functional “parallel employees.” This shift will radically change how work is organised, improving efficiency and productivity across industries.

The end of the smartphone? spatial computing takes centre stage

As spatial computing technology matures, experts predict that it will replace the smartphone as the primary interface for daily interactions. Vision-OS-style systems will enable users to interact with information atmospherically, creating immersive environments where homes, offices, and even public spaces become interactive canvases.

With the advent of lightweight smart glasses and potential trials of contact-lens prototypes, the way we interact with digital content will shift dramatically, making screens obsolete and ushering in a new era of spatial computing.

Predictive cybersecurity becomes the standard

The focus on cybersecurity will shift towards predictive models rather than reactive ones. AI-driven security frameworks will simulate potential cyberattacks, testing thousands of breach scenarios per second. This proactive approach will allow systems to self-patch before an attack can even occur, significantly reducing the response time for zero-day vulnerabilities. As a result, cybersecurity will evolve to offer businesses a more robust, forward-thinking approach to protecting data and systems.

Identity verification goes digital and biometric

The advent of deepfake technology has made the need for secure digital identity systems more urgent than ever. In 2026, biometric keys, encrypted voiceprints, and verified presence tokens are expected to become the standard for identity authentication across various sectors, from banking to social media. This shift towards more secure digital identities will provide users with better control over their personal information while ensuring safer online interactions.

AI chips spread across everyday devices

With the ongoing chip shortage, the industry is moving towards the development of micromodular AI chips, which will be integrated into appliances, electric vehicles, toys, and medical devices. These micro-modules will allow homes to function as distributed neural networks, constantly learning, adapting, and optimising energy consumption. This shift will not only improve the performance of everyday devices but will also lead to more energy-efficient homes and workplaces.

A fragmented internet: Privacy takes priority

In response to growing concerns over data privacy, the internet is expected to splinter into various zones: public, private, and fully encrypted “darklight” networks. Privacy-first communities will increasingly move towards these encrypted micro-internets, where user traffic is hidden from both governments and corporations. These new spaces will cater to creators, niche groups, and high-risk industries, providing a safer, more secure way to communicate and share data online.

Digital humans revolutionise the workforce

In the workplace, ultra-realistic AI-powered digital humans will become more common. These AI ambassadors will handle customer service, retail demos, and livestream commerce, and in some cases, outperform human influencers in engagement metrics. As brands increasingly rely on digital humans, regulators will scramble to catch up, grappling with how to define and differentiate between human-led and AI-led communications.

Revolutionising energy with AI-native hardware

The ongoing push for energy efficiency will see AI-native hardware that can significantly reduce the need for massive, centralised data centres. Advanced cooling techniques, such as solid-state, laser-assisted, or magnetic cooling, will allow for the creation of hyper-efficient, suburban-scale micro-datacenters. These smaller facilities will provide on-demand AI processing while easing the strain on traditional energy grids.

Neurowearables: Enhancing cognitive function

In the field of personal health and productivity, the first consumer neurowearables are expected to launch in 2026. These non-invasive devices will enhance cognitive functions such as memory recall, concentration, and stress regulation. Just as wearables revolutionised fitness tracking a decade ago, neurowearables will become a critical tool for improving mental performance and well-being.

The web becomes a dynamic knowledge layer

The internet will undergo a dramatic transformation in 2026, with static websites becoming obsolete. Instead, AI-powered interfaces will take centre stage, providing users with personalised experiences that answer questions, simulate scenarios, and create dynamic, on-the-fly content. This new form of the web will continuously evolve, offering a more interactive, adaptive, and intuitive digital experience.

About Pepin Gelardi

Pepin Gelardi is a technology strategist and innovation expert with extensive experience in connected devices, smart home solutions, and cybersecurity. He advises brands on product development and emerging tech trends to create safer, more user-centric digital experiences.

About Tomorrow Lab

Tomorrow Lab is a UK-based product design and engineering studio specialising in connected devices, IoT innovation, and consumer technology. The firm works with brands to embed security, usability, and longevity into smart products, combining design, engineering, and strategy for safer, smarter solutions.

The post Tomorrow Lab Unveils 10 Groundbreaking Tech Trends to Shape 2026 appeared first on IntelligentHQ.

Read more here: https://www.intelligenthq.com/tomorrow-lab-unveils-10-groundbreaking-tech-trends-to-shape-2026/

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Chen Liang (陳亮) has found an interesting use case for the Espressif ESP32-C5: a dual-band Wi-Fi analyzer showing the signal strength of 2.4 GHz and 5 GHz WiFi access points in your area. It works like one of the Wi-Fi analyzer apps on your phone, except it relies on an ESP32-C5 board and a display support for the Arduino_GFX libraries, for example, based on the ILI9341 driver, as it’s easier for beginners since the code does not need to be changed. Here’s what it looks like. You can follow the instructions provided by Chen to reproduce the setup. It’s fairly straightforward. He specifically used an ESP32-C5-DevkitC-1 board (or one of the clones) along with an ILI9341 display (not sure about the exact model, but any should do) and wired them together using a breadboard as shown in the photo below. You’ll then need to fire up the Arduino IDE, install Arduino […]

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Read more here: https://www.cnx-software.com/2025/11/28/esp32-c5-dual-band-wifi-analyzer/

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EBYTE ECM50-A is a compact, industrial-grade programmable controller built around the ESP32-S3 wireless SoC designed for IoT and edge control applications, such as environmental monitoring and remote telemetry in the smart industry, energy, and utilities sectors As it’s built around the ESP32-S3, it features Wi-Fi and Bluetooth LE, but the controller also supports Fast Ethernet, 4G LTE or LoRa connectivity, and offers RS232/RS485, two digital inputs, two digital outputs/relays, and two analog inputs (4–20 mA/12-bit), as well as a microSD card slot for data logging. The ECM50-A also implements various communication protocols like TCP/IP, HTTP, MQTT, and Modbus TCP master/slave. The industrial controller is designed to operate in the -40°C to 85°C temperature range. EBYTE ECM50-A specifications: Wireless Module – ESP32-S3-WROOM-1 SoC – Espressif Systems ESP32-S3R8 CPU – Dual-core Tensilica LX7 up to 240 MHz with vector extension for AI/ML workloads RAM – 512KB SRAM, 8MB PSRAM ROM – 284KB Wireless […]

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Read more here: https://www.cnx-software.com/2025/11/28/ebyte-ecm50-a-industrial-esp32-s3-controller-offers-rs232-rs485-di-do-ethernet-and-4g-lte-or-lora-connectivity/

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Seeed Studio XIAO Debug Mate is an inexpensive ESP32-S3-based multi-tool designed for the company’s XIAO boards, offering DAPLink debugger, serial monitor, and power profiler modes. The debugger comes with 8MB flash, 8MB PSRAM, a 2.01-inch display to display debugging/power information, two 14-pin headers to provide easy access to the XIAO’s module I/Os, a 36 LED matrix for status indication, and a couple of buttons, plus a srcoll wheel to navigate the menu. The serial monitor function can also be used be Arduino, Raspberry Pi, or other boards. XIAO Debug Mate specifications: Wireless MCU – Espressif Systems ESP32-S3R8 CPU – Dual-core Tensilica LX7 microcontroller @ 240 MHz Memory – 512KB SRAM, 8MB PSRAM Wireless – Wi-Fi 4 & Bluetooth 5.0 dual-mode (Classic + BLE) connectivity Storage – 8MB SPI flash Display – 2.01-inch TFT LCD with 296 x 240 resolution Expansion 2x 14-pin female GPIO headers routing the XIAO module pins […]

The post $19.90 XIAO Debug Mate ESP32-S3-based 3-in-1 multi-tool acts as a DAPLink debugger, serial monitor, and/or power profiler appeared first on CNX Software – Embedded Systems News.

Read more here: https://www.cnx-software.com/2025/11/27/19-90-xiao-debug-mate-esp32-s3-based-3-in-1-multi-tool-acts-as-a-daplink-debugger-serial-monitor-and-or-power-profiler/

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Industry 4.0 is reshaping global economies with AI, Blockchain, IoT, and Fintech driving change. Nations must adapt quickly or risk falling behind. How prepared is your country for the digital transformation, and what strategies should it adopt?

“We must develop a comprehensive and globally shared view of how technology is affecting our lives and reshaping our economic, social, cultural, and human environments. There has never been a time of greater promise, or greater peril.” Klaus Schwab, Founder and Executive Chairman, World Economic Forum.

“Digital is the main reason just over half of the companies on the Fortune 500 have disappeared since the year 2000.” Pierre Nanterme, CEO of Accenture

Countries are at the frontline of the upcoming Industry 4.0 and the digital transformation that it brings. Having said so, it is also an utter truth that these countries all around the world are going through the most challenging times since the end of WW2.  And these challenges are potentially risky enough to become serious threats if not properly addressed, while they affect all facets in many nations’ correct functionality. The 4IR resulting from profound digital transformation is just the tip of the iceberg in these complex, changing times. 

Nations face sensitive threats, to say the least. Political uncertainty and loss of trust in the state’s leaders have spread across the globe. This is particularly the case in traditionally well-established democracies such as those in Western civilisation. Social unrest has brought nationalism and identity back to the main frontline, giving way to a new wave of populist far-right parties. 

An ageing population and a worryingly low number of births have begun to trigger all the alarms towards the sustainability of the social welfare state. Climate change has been proven to be as devastating as science confirmed it was going to be, and it is only expected to become even worse. And all of this is embraced by an economy at the edge of a new recession, albeit still healing the wounds from the Financial Crisis of 2008. 

These challenges, though, have a common denominator, one that affects them all directly, and which is strong enough to seal the fate of the future. A tour de force technological wave is happening, at unprecedented speed, and it is changing everything it touches. In fact, these challenges are nothing but the direct outcome of a world unable to fully direct the disruptive digital transformation the planet is going through.

The digital transformation era

Across the world, in all nations, all kinds of physical interactions are being partially replaced by digitally mediated processes,  from social, political, media, and entertainment. Paradoxically, and precisely due to the same digital devices, it has never been so easy to interact socially with each other. 

People are more interconnected than ever. This swift transformation has been fast, disruptive, and it will be shifting to a new world of automation and disruption where data-driven AI will be the leading force amidst changing the face of governments and nations as they stand now. 

For better or worse, the world has laid its eyes on digital transformation as its last-stand answer to all these, and more, challenges, with nations at the spearhead of this disruptive force. Nations are the regulators, watchdogs and drivers of this present global innovative landscape. 

Despite other key agents, such as companies, entrepreneurs, supranational institutions, self-organised citizens’ movements, grass root movements,  nations themselves held the strong point of being the voice of their citizens, which in the end are the main cause/effect of these innovative times. The emerging technologies will thrive or perish as long as they can serve nations and their citizens. In the same vine, their ensuing applications within the Industry 4.0 context will be as disruptive to the economy as to the culture and society. These are triggering profound evolution in human consciousness, even if at different paces, and awakening all kinds of different needs.  

Artificial Intelligence, Cloud Computing, Big Data, Internet of Things, and recently, the blockchain, are the foundational technologies of this new Industry 4.0 world. They leverage new access to long-standing sectors, especially in the finance industry (Fintech, funding models, crypto economics, investments, open banking), insurance (insurtech), communications (social media, 5G, real-time news feed), services (video streaming, TV-on-demand, new consumer habits) or retail (e-commerce and online shopping). Nations, likewise, are mirroring companies’ digital frenz to adopt these technologies within the services they provide. 

The term disruption has never been so accurate as it is applied within the Industry 4.0 context, and data across the world reassures the ongoing transformation. Today, two-thirds (5 billion) of the world’s population have a mobile phone, while it is expected that by 2025, more than 5 billion users will enjoy the internet on their mobile devices. The mobile revolution has triggered the digital inclusion of billions of individuals living in developing countries. 

Solely in the past year, social media gained 11 new users every second. These make the breeding grounds for a never-experienced social disruption in both communications and data. In fact, according to the aforementioned Harvard Business Review, “cross-border flows of digitally transmitted data have grown manifold, accounting for more than one-third of the increase in global gross domestic product in 2014,” in a world of more than 4 billion internet users. 

This digital swift will enable the rapid adoption of transformational technologies such as automation, big data, machine learning, and artificial intelligence, with experts forecasting that they will radically affect up to 50% of the world economy in the coming years.

One of the areas that will be greatly altered by the digital transformation is related to the future of work, with radical disruption on the horizon. More than one billion jobs and $14.6 trillion in wages are considered automatable with technology already available.

The humanitarian crisis that this all-out automation could originate might bring back already-forgotten social unrest across the world. To alleviate the loss of jobs and hard-needed income, leading economists suggest a guaranteed living income, retraining workers to give them the skills required for future jobs and other nation-driven social policies.

The disruption of productivity models: The impact of Industry 4.0 on nations

If we are to disclose a broad picture of how digital transformation will have on nations, we need to take a closer look at production schemes worldwide. As of now, production models and manufacturing methods are changing at an unprecedented rate, and that is directly affecting national productivity strategies. 

Ultimately, nations will be the most affected by the advocacy of emerging technologies and their impact on their economic models. Countries tend to develop their economic strategies and their productivity targets while avoiding compromising their competitiveness in a global context. It is in this scenario that these technologies push new production techniques, business models more based on cooperation and value chains that will completely take global production to a new level.

The speed and breadth at which this is happening bring a layer of complexity to an already ambitious goal of developing and implementing industrial strategies that enhance new and more sustainable economic strategies, without losing value and attractiveness in the long term.

This in-depth change can be felt in every country, though not all of them are experiencing it at the same pace. Like everything else in today’s world, there are some countries more inclined to digital transformation, such as the USA, Japan. UK  or Germany. Many others, on the other end of the spectrum, haven’t even started yet due to lack of resources, political instability or conservative approach, which can be disadvantageous in the future. This global transformation of production systems will be a challenge, and the future of production could become increasingly polarised in a two-speed world. 

We can find this two-speed approach to the changes brought about by Industry 4.0 in a new report from The World Economic Forum (WEF) and A.T. Kearney, which reveals that only 25 out of 195 countries are poised to take advantage of Industry 4.0. 

“Countries need to decide how to best respond in this new production paradigm vis-à-vis their national strategies and their ambition to leverage production as a national capability. This requires countries to first understand the factors and conditions that have the greatest impact on the transformation of their production systems and then assess their readiness for the future,” they stated. 

Challenges and opportunities of Industry 4.0 for nations

The challenges nations face with Industry 4.0  are huge, as is the task to properly address them. A thorough research, called Readiness, assessed 100 countries and economies across all regions and stages of development, and how well positioned they are to gain from emerging technologies, such as linked sensors – also known as the Internet of Things – artificial intelligence, robotics, blockchain, wearables and 3D printing, and the additive manufacturing that would change traditional methods.

With this in mind, countries participating in the study were assigned to various categories regarding how prepared they are for the advent of Industry 4.0: featuring leading countries with a strong current base and the highest level of readiness for the future; and those set in the nascent spectrum with a limited current base, and the lowest level of readiness for the future.

Of course, each country has its own goals and strategies, so a like-for-like comparison is not appropriate. Furthermore, we are at the very beginning of Industry 4.0, so all countries can still catch up with the new digital transformation. No country has yet reached what the study calls ‘the frontier of readiness’. Nor has anyone truly harnessed the full potential of Industry 4.0 in production. At this stage, the non-Leaders can learn from the advanced countries, even though they’re still navigating the early stages of transformation.

In parallel, readiness for the future of production requires global, not just national, solutions. Globally connected production systems require sophisticated technology, but also standards, norms and interoperability across a diverse set of systems. Standards, norms and regulations that cross technical, geographical and political boundaries offer efficiencies and make it easier for global value chains to do business. 

This cross-related approach can also be applied to public-private collaboration in order to accelerate transformation. Every country faces challenges that cannot be solved by the private sector or the public sector alone. New approaches to public-private collaboration that complement traditional models can help governments effectively partner with industry, academia and society to find new value.

Another challenge that countries are now facing is how the value of producing just for the sake of producing has been compromised, particularly with rising global movements questioning climate change and linking it to current systems of production at all costs.  New models have risen out of these movements, like the so-called circular economy, which put their focus towards a reuse production scheme or the platform cooperativism economy, one that democratises access to services through digital-based business models that are decentralised.

On the other hand the Industry 4.0 might trigger selective reshoring, nearshoring and other structural changes to global value chains. Emerging technologies will change the cost-benefit equation of production across borders. When a value chain is identified, countries will have the chance to gain position or lose share. 

This has exponential opportunities to disrupt traditional production-based economies, such as those in many developing countries, and the inertia followed in recent years. In this respect, companies and manufacturers might close the gap between production and consumers geographically, with new locations in those market destinations.

This would create different pathways as countries navigate the transformation of production systems. As every country would pursue their own goals and challenges, not every country will swiftly advance towards advanced manufacturing. Some will continue to follow traditional manufacturing opportunities, while other countries will aim for a dual approach. The different pathways opened up by digital transformation also bring the potential for leapfrogging. 

Countries lagging behind in the current global production schemes can enter emerging industries at a later stage without the legacy costs of earlier investment. To do that, they must have the right set of capabilities and develop effective strategies for taking advantage of the opportunities most relevant to them. Very few countries, however, would have the right amount of resources to capitalise such an opportunity.

As we have seen in these very lines, there are 25 countries in the leading archetype that make up more than 75% of global manufacturing value added (MVA). On the other side, we found that 90% of the countries from Latin America, the Middle East, Africa and Eurasia suffer a low level of readiness for Industry 4.0.

While the biggest technology companies may currently be located in the United States, Japan keeps pushing its position as the first technology-driven country. Norway on the other hand,  has a higher potential to adapt and strengthen its structure of production and diversify its economy; other countries keep adopting digital initiatives, transferring manual processes into digital ones, nurturing technology start-ups, and implementing all kinds of strategies to drive digital transformations. 

Industry 4.0 is not a matter of if but when, and all countries will have to deal with the ongoing digital transformation sooner or later.

The post The Challenges Nations Are Facing In A Time Of Industry 4.0 – AI, Blockchain, IoT, Robotics and Fintech appeared first on IntelligentHQ.

Read more here: https://www.intelligenthq.com/challenges-nations-face-in-industry-4-0/

The post The Challenges Nations Are Facing In A Time Of Industry 4.0 – AI, Blockchain, IoT, Robotics and Fintech appeared first on IPv6.net.

While searching AliExpress, I found the WiFi LoRa 32 (V4) shell set, another ESP32-S3-based off-grid LoRa/Meshtastic communicator designed for long-range wireless applications. Compared to devices like Blackout Comms, Wio Tracker L1 Pro, and ThinkNode M2, this device features built-in solar charging, optional GNSS, a removable battery, and a higher transmit power. The device features a high-power SX1262 LoRa transceiver with up to 28 ± 1 dBm transmit power, along with integrated Wi-Fi and Bluetooth 5/Mesh connectivity. It adds solar charging, an 8-pin GNSS connector, upgraded battery management, gold-plated 40-pin headers, and a fully protected 0.96-inch OLED, as well as a few I/Os for expansion. The USB-C port includes ESD and short-circuit protection, while dual IPEX connectors support both LoRa and 2.4 GHz antennas. Heltec WiFi LoRa 32 (V4) specifications: SoC – Espressif Systems ESP32-S3 CPU – Dual-core 32-bit microcontroller @ 240MHz Memory – 512KB SRAM, 2MB PSRAM Storage – 384KB ROM […]

The post Heltec WiFi LoRa 32 (V4) – An ESP32-S3 off-grid LoRa/Meshtastic communicator with solar input, GNSS, and 28dBm Tx Power appeared first on CNX Software – Embedded Systems News.

Read more here: https://www.cnx-software.com/2025/11/27/heltec-wifi-lora-32-v4-an-esp32-s3-off-grid-lora-meshtastic-communicator-with-solar-input-gnss-and-28dbm-tx-power/

The post Heltec WiFi LoRa 32 (V4) – An ESP32-S3 off-grid LoRa/Meshtastic communicator with solar input, GNSS, and 28dBm Tx Power appeared first on IPv6.net.

Read more here: https://blog.apnic.net/2025/11/27/podcast-adjusting-for-data-source-bias-in-internet-measurements/

The post [Podcast] Adjusting for data source bias in Internet measurements appeared first on IPv6.net.