Seeed Studio Wio-S3 is a compact (21.6 x 16.5 x 3.3 mm) wireless module that combines an ESP32-S3R8 dual-core WiFi 4 and Bluetooth LE MCU and a Semtech SX1262 LoRa transceiver. The module includes 16MB Flash and 8MB PSRAM, and supports LoRa (EU868/US915) with up to +20.9 dBm transmit power and -137 dBm sensitivity. It also supports Wi-Fi 4 and BLE 5.0, and comes with two IPEX connectors for external antennas. With interfaces such as UART, I2C, SPI, ADC, and USB, and support for -40°C to 85°C operation, it is designed for remote monitoring, industrial automation, smart agriculture, and IoT data logging. Seeed Studio Wio-S3 module specifications: SoC – Espressif ESP32-S3R8 CPU – Dual-core Tensilica LX7 microcontroller up to 240 MHz with vector instructions for AI acceleration Memory – 8MB PSRAM Wireless – 2.4 GHz 802.11b/g/n WiFi 4 and Bluetooth 5.0 LE + Mesh connectivity Storage – 16MB external SPI flash […]

The post $7.99 Seeed Studio Wio-S3 WiFi, Bluetooth LE, and LoRa IoT module combines ESP32-S3 and SX1262 RF transceiver appeared first on CNX Software – Embedded Systems News.

Read more here: https://www.cnx-software.com/2026/06/12/7-99-seeed-studio-wio-s3-wifi-bluetooth-le-and-lora-iot-module-combines-esp32-s3-and-sx1262-rf-transceiver/

The post $7.99 Seeed Studio Wio-S3 WiFi, Bluetooth LE, and LoRa IoT module combines ESP32-S3 and SX1262 RF transceiver appeared first on IPv6.net.

Read more here: https://blog.apnic.net/2026/06/12/bgp-router-id-structuring-in-ipv6-native-networks/

The post BGP Router ID structuring in IPv6 native networks appeared first on IPv6.net.

In the competitive landscape of technology and business, companies are constantly seeking methods to enhance their sales strategies and drive revenue growth. One such method that has taken the forefront is the use of AI-powered Sales Insights. This advanced technology allows businesses to analyze vast amounts of data to make informed decisions and gain a competitive edge. This article explores how integrating AI insights can transform revenue strategies, improve sales performance, provide real-time decision-making advantages, and highlight case studies of businesses that have successfully harnessed these insights.

How AI-powered Sales Insights Transform Revenue Strategies

AI-powered Sales Insights enable businesses to redefine their revenue strategies by providing a comprehensive understanding of customer behavior and market trends. This tool leverages sophisticated algorithms to process data from various sources, enabling companies to predict customer needs and tailor their offerings accordingly. For example, through Data Lake Architecture, businesses can store and analyze large volumes of structured and unstructured data, leading to more personalized marketing campaigns that resonate with specific customer segments. Integrating AI-powered Sales Insights facilitates a shift towards a more proactive approach in sales strategies. Businesses can now anticipate market shifts and adjust their tactics to align with future demands. By integrating AI, companies can move from a reactive to a proactive sales model, ensuring they are always one step ahead in capturing market opportunities.

Finally, AI-powered insights support strategic decision-making by providing actionable intelligence. This enables businesses to optimize their pricing strategies, identify cross-selling opportunities, and ultimately enhance their revenue streams. By utilizing these insights, companies can refine their strategies to better align with customer expectations and market dynamics.

Leveraging Data Analytics for Enhanced Sales Performance

Data analytics plays a crucial role in enhancing sales performance by offering deep insights into customer preferences and purchase patterns. Through the use of advanced technologies such as Cloud Orchestration Platforms, businesses can efficiently manage and analyze data to uncover trends that would otherwise remain hidden. This level of analysis allows sales teams to adopt a more targeted approach, focusing on high-value leads and optimizing resource allocation.

In addition, the integration of API Gateway Management ensures seamless data flow between different platforms, allowing for a unified view of customer interactions. This holistic view is vital for sales teams to develop strategies that are data-driven and customer-centric.

Furthermore, incorporating AI into the sales process can lead to significant improvements in performance metrics. Studies have shown that businesses that leverage AI in their sales processes can increase their lead conversion rates by up to 50% (Source: McKinsey, 2023). This is achieved by using AI to identify the most promising leads and tailor approaches to maximize the likelihood of conversion.

Real-Time Insights and Their Impact on Decision Making

One of the most significant advantages of AI-powered insights is the ability to provide real-time data, which is essential for agile decision-making. In fast-paced industries, having access to up-to-the-minute information can be the difference between capitalizing on an opportunity and missing it altogether. By utilizing Edge Computing Nodes, businesses can process data at the source, reducing latency and ensuring that insights are available when needed.

This immediate access to data empowers sales teams to make informed decisions swiftly, adjusting their strategies to reflect current market conditions. For example, a sudden change in consumer behavior can be quickly identified and addressed through AI-powered insights, allowing businesses to adapt their sales approach accordingly.

Moreover, real-time insights facilitate better collaboration among teams. By integrating these insights into the Continuous Integration Pipeline, businesses ensure that all stakeholders have access to the latest data, fostering a culture of informed decision-making and strategic alignment.

Case Studies Showcasing Revenue Growth Through AI Integration

Several businesses have successfully implemented AI-powered Sales Insights to drive substantial revenue growth. A recent case study from a leading tech firm demonstrated a 30% increase in sales revenue within the first year of AI integration (Source: Forrester, 2023). This was achieved by utilizing AI to optimize their sales funnel, focusing on high-value prospects, and reducing the time spent on less promising leads.

Another example is a retail company that leveraged AI to enhance its customer segmentation strategy. By analyzing purchasing behavior through a Microservices Framework, the company was able to create highly targeted marketing campaigns, resulting in a 25% boost in customer engagement and a subsequent increase in sales (Source: Harvard Business Review, 2022).

These case studies underscore the transformative potential of AI-powered Sales Insights. By adopting AI technology, businesses can not only enhance their sales performance but also achieve sustained revenue growth, setting themselves apart in a competitive marketplace. For more insights, explore AI-powered Sales Insights and discover how it can revolutionize your business strategies.

Conclusion

AI-powered Sales Insights provide a significant advantage in driving revenue growth by transforming traditional sales strategies, enhancing performance through data analytics, and offering real-time decision-making capabilities. As demonstrated by case studies, businesses that embrace AI technology can experience substantial increases in sales and customer engagement. For those seeking to capitalize on these benefits, implementing AI insights is a strategic move towards achieving sustained business success.

The post How Implementing AI-powered Sales Insights Drives Revenue Growth appeared first on IntelligentHQ.

Read more here: https://www.intelligenthq.com/how-implementing-ai-powered-sales-insights-drives-revenue-growth/

The post How Implementing AI-powered Sales Insights Drives Revenue Growth appeared first on IPv6.net.

Real estate investment software has moved from a back-office convenience to an operational backbone for fund managers, syndicators, REITs, family offices, and PropTech operators deploying capital across the US.

As portfolios scale, generic accounting tools and spreadsheets stop holding up. That pressure typically pushes investment teams toward custom platforms that automate waterfall distributions, run capital call workflows end to end, and connect cleanly to QuickBooks, NetSuite, Yardi, bank feeds, and data rooms.

Our article will help you find the top real estate investment software development company in US for your business. We’ve covered service focus, industry coverage, and expertise, so you can shortlist candidates that match your requirements.

Buyer Segments Driving Custom Real Estate Investment Software Demand

Custom real estate investment software splits across operators with very different fund structures, LP bases, regulatory exposures, and capital-raise mechanics. Here are 5 buyer segments most active in commissioning custom builds and what drives each toward a tailored platform.

Real Estate Private Equity Firms and Fund Managers

Real estate private equity firms often outgrow off-the-shelf investment software when fund count climbs, waterfall structures grow more complex, and institutional LP reporting expectations sharpen. Custom builds let you operate across multi-fund, multi-entity, and multi-currency structures from a single source of truth. Common deliverables include:

• Multi-tier waterfall modeling covering preferred returns, IRR hurdles, GP catch-up, and carried interest
• Audit-ready capital account statements produced on schedule for institutional LPs
• Investor portals with role-based access for GPs, LPs, auditors, and external advisors
• Streamlined subscription documents and automated K-1 generation
• Integrations into NetSuite or Yardi Investment Manager for accounting and asset-level data flow

Syndicators

Syndicators usually work deal-by-deal, with smaller LP bases dominated by accredited individuals and family money.

Their pressure points center on capital-raise velocity, including faster onboarding, automated subscription workflows, integrated AML/KYC and accredited investor verification, and clean investor-portal communication during the hold period. Custom platforms equip them to ship a branded LP experience, automate distribution waterfalls without spreadsheet errors, and connect to bank feeds for capital calls and distributions.

REITs and Non-Traded REIT Operators

REITs and non-traded REIT operators handle shareholder mechanics, NAV calculations, distribution policies, and reporting obligations that off-the-shelf fund tools rarely cover end-to-end. Tailored builds address these gaps through:

• Share-class accounting with separate tracking for common, preferred, and operating partnership units
• NAV refresh cycles run on a quarterly cadence with documented valuation inputs
• Shareholder communications and subscription/redemption workflows for accredited and non-accredited investors
• Transfer agent and broker-dealer system integration for selling-agreement flows
• FINRA and SEC filing dashboards that combine performance metrics with compliance documentation

Family Offices Investing in Real Estate

Family offices building or expanding real estate allocations often want a platform that handles direct deals, fund-of-fund commitments, and co-investments under one roof, alongside other asset classes.

Build priorities generally include consolidated reporting across legal entities and trust structures, custom valuation tracking, multi-currency support, and tight permissions for family members, advisors, and external CPAs. Many also push for AI-assisted document classification across leases, subscription agreements, and tax forms.

Crowdfunding Platforms and Real Estate PropTech Operators

Real estate crowdfunding platforms and PropTech startups face different problems, such as high transaction volume from retail investors, layered regulatory load, and the need to embed investing flows into a branded consumer-grade product. Custom development for this segment commonly covers:

• High-throughput investor onboarding with automated accreditation and suitability checks
• Scalable e-signature and document delivery across hundreds or thousands of investors per offering
• Modular waterfall engines that recalculate distributions at scale without manual intervention
• White-label investor dashboards branded to the platform’s identity
• API access and webhooks for downstream integrations with marketing, payments, and tax tools

Top Real Estate Investment Software Development Companies in US

Real estate investment software development sits at a narrow intersection of fund accounting, securities compliance, and platform engineering. The 7 providers in our list were assembled around that overlap: each runs an active practice in custom real estate investment platforms, has visible client work in the segment, and operates with a delivery model aligned to US-based buyers.

Inoxoft

Inoxoft is a top real estate investment software development company in the US, specializing in custom platforms for real estate investment firms, REITs, syndicators, fund managers, and PropTech startups.

They build deal-flow and underwriting platforms, GP/LP investor portals with capital calls and waterfalls, AI/ML-driven valuation and deal scoring engines, and integrations with Yardi, Argus, CoStar, and accounting platforms like QuickBooks. Inoxoft’s delivery model combines US-aligned engagement with mid-to-senior engineering capacity, supporting scalable SaaS architectures that run at 100K+ record volumes and high concurrency.

Main benefits

• 14+ years on the market and 230+ delivered projects
• 200+ mid-to-senior engineers with a US-aligned engagement model
• 94% client retention rate signalling long-term partnerships
• ISO 9001 and ISO 27001 certified, plus Microsoft Gold and Google Cloud partnerships
• Full-cycle delivery, covering strategy, UI/UX, AI/ML, QA, DevOps, and post-launch support

Chetu

Chetu develops custom real estate investment and property management platforms for institutional investors, large fund managers, and asset operators. The firm’s services cover AI-powered analytics, compliance tooling, and integrations with Yardi, MRI, and Argus, with a focus on robust enterprise-scale builds. Chetu’s engagements often involve large-scale system replacements, multi-product modernization, and compliance-heavy fund administration.

Main benefits

• Strong enterprise delivery capacity for large-scale system replacements
• AI analytics for portfolio performance and risk modeling
• Native integrations with Yardi, MRI, Argus, and major accounting platforms
• Compliance tooling built for SEC, FINRA, and audit-ready reporting

Itransition

Itransition delivers end-to-end real estate technology, including investment CRMs, portfolio management systems, predictive analytics tools, and legacy platform modernization. The provider serves fund managers, REITs, and real estate-fintech hybrids needing data-heavy investment workflows. Itransition’s delivery scope spans discovery, architecture, full-stack development, and post-launch optimization.

Main benefits

• Financial and real estate hybrid solutions as a core strength
• Predictive analytics for asset performance and deal sourcing
• Enterprise integrations across CRM, accounting, and data-room ecosystems
• Legacy platform modernization without service disruption

Intellectsoft

Intellectsoft engineers custom investment management software, mobile and web platforms for real estate operators, and AI/ML modules for deal scoring and underwriting. The company’s work also extends to IoT and smart-building integrations that connect portfolio operations to investment-tracking dashboards. Their engineers concentrate on enterprise-grade builds delivered on advanced tech stacks.

Main benefits

• Enterprise-tier engineering across web, mobile, and data platforms
• AI/ML modules for deal scoring, valuation, and underwriting automation
• IoT and smart-building integration tied to portfolio analytics
• Cloud-native architectures designed for multi-fund and multi-entity scale

Leobit

Leobit produces custom PropTech platforms, investment analytics tools, and property management software tied directly to investment workflows. Their engineering centers on scalable systems that handle high transaction volumes across investment and asset management operations. The team’s long-running engagements support both greenfield builds and ongoing platform evolution.

Main benefits

• 8+ years dedicated to real estate technology builds
• High-volume transaction processing on scalable architectures
• PropTech-specific UX patterns and investor-facing flows
• Integration coverage across accounting, data rooms, and payment rails

Seasia Infotech

Seasia Infotech designs custom real estate software, investor CRM systems, portfolio dashboards, and operational automation tools for mid-size and large investment operators. Seasia’s client coverage spans enterprise and SME real estate operators looking for cost-effective, reliable custom builds. Their project work often combines front-end portal development with backend automation and data-pipeline buildouts.

Main benefits

• Investor CRM and portfolio dashboards as a delivery focus
• Operational automation tools that reduce manual workload
• Cost-effective custom builds suited to mid-market budgets
• Enterprise and SME engagement coverage under one delivery organization

Digisoft Solution

Digisoft Solution provides full-service PropTech development, investment platform builds, and cloud-native solutions tailored to US-market real estate operators. Their developers carry projects through strategy, design, engineering, and deployment, with domain expertise across investment and operational workflows. The firm’s engagement model supports comprehensive builds rather than narrow point solutions.

Main benefits

• Full-service delivery from discovery through deployment
• Cloud-native platform engineering for multi-tenant SaaS
• Domain depth across investment, asset management, and operations
• Strategy and product-discovery practice for early-stage builds

Vendor Evaluation Criteria for Real Estate Investment Platform Builds

A custom real estate investment software development partner selection is a high-stakes decision. The platform sits between LP capital, deal economics, and regulatory exposure, so vendor missteps surface fast in audit trails and investor communications.

The 5 evaluation criteria below cover what you should prioritize when running a vendor shortlist.

Waterfall, Capital Call, and Fund Accounting Capability

Waterfall logic is where most custom platforms either succeed or fail. Multi-tier structures with preferred returns, IRR hurdles, GP catch-up, and carried interest demand precision. Before you sign, confirm the vendor can:

• Walk you through a sample waterfall calculation with tiered distributions reconciled against general ledger entries
• Handle multi-entity, multi-fund, and multi-currency accounting without forcing manual workarounds
• Show automated K-1 generation, capital call notices, and distribution waterfalls running in client production
• Coordinate with your CPA or fund administrator during reconciliation cycles

Compliance and Security Posture

Real estate investment platforms handle sensitive LP data, securities documentation, and capital movement, so compliance can’t be an afterthought. Verify the vendor holds SOC 2 Type II certification, supports Reg D 506(b)/506(c) flows with accredited investor verification, and has built KYC/AML workflows that meet broker-dealer or transfer agent standards. Check how their builds handle FINRA, SEC, and state blue-sky considerations, plus FATCA/CRS if your fund accepts international investors.

Integration Track Record

A platform that doesn’t speak to the rest of your operational stack creates manual reconciliation work that erodes the ROI case. Have the vendor show evidence of:

• Production integrations with NetSuite, QuickBooks, Yardi, MRI, Argus, and CoStar — not just listed in marketing
• Data room connections to Datasite, Intralinks, or SecureDocs
• Bank feed access via Plaid or direct API for capital call and distribution flows
• Downstream tax tool feeds to CCH, GoSystem, or whatever your CPA uses
• Specific API quirks they’ve handled rather than vague “we integrate with anything” claims

Engineering Scale, Delivery Model, and Post-Launch Support

Match the vendor’s team composition and engagement model to your build’s stage. It can include fixed-price suits, well-defined MVPs, dedicated teams that fit for multi-year platforms, and time-and-materials that work for evolving roadmaps.

You should confirm seniority distribution, US time-zone overlap, and whether the same engineers stay through launch rather than rotating off after discovery. Post-launch, review SLA structure, dedicated maintenance teams, and how the vendor handles platform evolution as your AUM grows or you add new asset classes.

Conclusion

Custom real estate investment software stops being optional once funds add vehicles, LPs grow in number, or compliance scrutiny tightens. Generic tools and spreadsheet-based workarounds create reconciliation drag and audit risk that compound with scale.

A specialized development partner brings the domain depth needed to deliver waterfall accuracy, LP-grade reporting, audit-defensible records, and integrations that hold up across NetSuite, Yardi, banks, and data rooms.

The post Top Real Estate Investment Software Development Companies in US appeared first on IntelligentHQ.

Read more here: https://www.intelligenthq.com/top-real-estate-investment-software-development-companies-in-us/

The post Top Real Estate Investment Software Development Companies in US appeared first on IPv6.net.

Smart weather-monitoring device vendor AcuRite has delayed plans to force users onto a new companion app. The transition from My AcuRite to AcuRite NOW, which AcuRite previously set for May 30, “has raised serious questions and concerns among many long-time users,” AcuRite’s VP of product development, Jeff Bovee, told Ars Technica.

AcuRite, whose devices include weather stations, rain gauges, and indoor thermometers, told customers that it would shut down My AcuRite at the end of May. Devices owners would have to use AcuRite NOW, an iOS and Android app launched in June 2025, to control their gadgets instead.

Some long-time users lamented being forced to new software when the current software worked fine, if not better, than the new app. When Ars first reported on AcuRite in May, AcuRite NOW lacked some features of My AcuRite, including the ability to rename multiple temperature sensors, report temperatures in non-integers, as well as an online dashboard option. Users have also highlighted problems uploading data to weather sites and a poor layout with wasted space.

Read full article

Comments

Read more here: https://arstechnica.com/gadgets/2026/06/iot-gadget-firm-acurite-delays-forced-app-migration-due-to-new-apps-shortfalls/

The post AcuRite admits new app falls short, delays old app’s May shutdown to fix problems appeared first on IPv6.net.

Read more here: https://www.itpro.com/security/security-experts-sound-alarm-over-expanded-china-linked-botnet-used-to-target-us-critical-infrastructure-and-military-assets

The post Security experts sound alarm over ‘expanded’ China-linked botnet used to target US critical infrastructure and military assets appeared first on IPv6.net.

Most developers reach for a single-board computer, only to discover they still need a microcontroller for real-time I/O. Then they need eMMC and extra storage. Then a separate AI accelerator. Then comes the custom wiring nightmare just to make everything talk to each other. As your app grows, you find yourself stacking extra boards, external controllers, and shaky communication links. The bill of materials skyrockets, and the integration headaches follow, all just to bridge the gap between Linux computing and real-time control.

UNO Q starts where that frustration ends. One board. Qualcomm Dragonwing QRB2210 Linux-capable processor. Real-time STM32 MCU. Qualcomm^® Adreno GPU 3D graphics accelerator. Forget unreliable SD cards with the built-in 32GB eMMC. It’s simple: one board, double the value.

When you can slash system complexity right out of the box, you instantly accelerate your development pipeline and cut down your total deployment costs. No extra fluff, just pure efficiency.

Let’s look under the hood: here are four reasons why UNO Q completely crushes overpriced, complicated hardware with a single, unified platform.

#1 Expect more from the right board

Many modern applications need two very different kinds of computing. On one side, there is the need for AI inference, computer vision, networking, data processing, and cloud connectivity, which all benefit from a Linux environment running on a powerful application processor. On the other side, there are sensors, actuators, motors, industrial signals, and timing-critical tasks that require deterministic real-time control.

Traditionally, developers solve this challenge by combining multiple boards and creating custom communication layers between them. UNO Q puts both worlds on the same board. The Linux MPU handles AI, vision, and data. The STM32 MCU handles sensors, actuators, and timing. They work together – and you don’t even need to design and debug the communication layer.

Of course there is value in having “two boards in one”. But there is potentially even more value in eliminating external hardware, reducing integration effort, and simplifying system architecture.

This approach is already proving valuable in real-world applications. Star Stream, for example, uses UNO Q to process and analyze high-speed racing telemetry data at the edge. The platform combines Linux-level processing power for data handling and visualization with the deterministic control needed to interact with physical systems in real time. The result is a solution capable of delivering professional-grade, real-time insights without requiring a complex multi-board architecture: it’s Formula 1 results, without the Formula 1 budget.

#2 Lessen the cost with fewer components 

As you move on to more complex endeavors, it’s important to keep the bigger picture in mind: the purchase price of a board is only a small part of a project’s budget! Additional controllers, interface boards, communication modules, power supplies, and custom integration all contribute to the final cost of a solution. 

UNO Q consolidates that BOM. Linux processing, real-time control, high-speed connectivity, and industrial I/O, all on one board. Fewer components means fewer integration points, fewer failure modes, and a bill of materials that doesn’t keep growing. A lot more applications can be built with fewer components and fewer integration challenges. The result is a lower total cost of ownership (TCO), even before considering maintenance, deployment, and long-term support.

A great, concrete example of this comes from ZenCell from PriscoZen, a company developing automated quality inspection systems. By leveraging the dual-brain architecture of UNO Q, they were able to consolidate functionality that would traditionally require multiple devices into a single platform. Fewer boards meant lower BOM cost, fewer integration points, simplified maintenance, and a cleaner overall system design. What’s not to love?

#3 Develop AI-native projects with less second guessing 

If you are running an AI model, the real complexity often begins after inference is complete. You need to collect sensor data, make a decision, and trigger a physical response. This needs to be done reliably, in real time. That requires deterministic control, not a Linux process that can be preempted by the OS. Again, the dual-brain architecture of UNO Q can become particularly valuable from this perspective.

The Linux processor can handle AI models, vision pipelines, orchestration, and high-level decision making. Meanwhile, the microcontroller continues to manage sensors, actuators, and real-time interactions independently. The two processors complement each other naturally, allowing you to build systems that can both understand and react to their environment.

This architecture is especially relevant for applications such as visual inspection, predictive maintenance, robotics, smart gateways, and intelligent human-machine interfaces.

The RS DesignSpark team built a PCB inspection 4-part series (you can start with Part 1, here) that demonstrates this approach in practice. In the project, UNO Q handles image acquisition, machine learning workflows, and application logic while maintaining reliable interaction with the physical inspection environment. Rather than focusing solely on AI performance, the project showcases what is often more important in industrial deployments: connecting intelligence to action. The real kicker? Andrew told us he built the whole system for about $1,700 – with significant savings compared to similar systems starting at $3,000 and going all the way up to $20,000!

#4 Build it now, faster, and without friction

In many professional projects, engineering time can quickly exceed the cost of the hardware itself. Think about it: you need to prepare the environment, install the software stack, connect different tools, move data between systems, and create the infrastructure needed before real application development can even begin.

UNO Q helps reduce friction and speed up the process from the very first step. It ships with onboard eMMC and a preinstalled software environment. No SD card to format. No image to flash. No setup ritual before you can write a line of application code. With onboard eMMC storage and a preinstalled software environment, you can start working without first preparing removable media, flashing an operating system image, or assembling the basic development setup from scratch. 

It also matters after deployment. In real-world systems, storage is not just a setup detail: it can affect reliability, maintenance, and uptime. Removable storage can be more exposed to corruption, wear, accidental removal, or failure, which may lead to downtime and additional recovery costs when a system needs to be reinstalled or reconfigured. By relying on onboard eMMC storage, UNO Q offers a more robust foundation for applications that are expected to run continuously and reliably. It also gives you flexibility in how you work with the board: it can be used connected to a PC during development, or run as a full standalone single-board computer (SBC) when the application needs to operate independently.

The advantage of adopting UNO Q becomes particularly clear in machine vision and inspection projects, where developers can focus on building the application itself rather than assembling the underlying infrastructure.

As author Andrew Back noted in his final words on Part 4 of the DesignSpark PCB inspection project, “UNO Q, Arduino^® App Lab and Edge Impulse together provide a powerful combination, with a clear focus on convenience and enabling the rapid development of sophisticated applications.”

Understanding the full value of your hardware

At the end of the day, the greatest value is found in building a simpler, more efficient, more versatile and scalable system. UNO Q – with its unique combination of Linux computing, real-time control, edge AI readiness, and industrial-grade flexibility – is designed to reduce complexity rather than add it. And for developers building the next generation of intelligent devices, that may be the most valuable feature of all.

The real cost of a system is not what you pay for the board.

It’s the external MCU you didn’t have to buy. The AI HAT you didn’t need. The communication layer you didn’t have to build. The hours you didn’t spend on integration. The maintenance call you avoided, because eMMC doesn’t fail the way SD cards do. Every component you skip is money saved. Every integration point you eliminate is a failure mode removed.

The ultimate system cost isn’t the price of the board, it’s everything you no longer have to buy, wire, and fix. By packing Linux, edge AI, and real-time control onto a single board, UNO Q slashes your component list, cuts power consumption, and eliminates integration headaches. Zoom in, it does more; zoom out, it saves you more.

Want to dive deep into real-world applications that are proving the value of UNO Q? Read more about:

• How Star Stream created a smart, cost-effective solution to process and analyze high-speed racing telemetry data at the edge
• How ZenCell replaced two boards with one, to build a better quality inspection system
• How Andrew Back worked out automated visual inspection of PCBs, leveraging user-friendly training of AI/ML models made available by Edge Impulse

Qualcomm branded products are products of Qualcomm Technologies, Inc. and/or its subsidiaries. Arduino, UNO, and the Arduino logo are trademarks or registered trademarks of Arduino S.r.l.

The post Ditch overpriced hardware: 4 ways the Arduino® UNO™ Q board helps you do more for less appeared first on Arduino Blog.

Read more here: https://blog.arduino.cc/2026/06/11/ditch-overpriced-hardware-4-ways-the-arduino-uno-q-board-helps-you-do-more-for-less/

The post Ditch overpriced hardware: 4 ways the Arduino® UNO™ Q board helps you do more for less appeared first on IPv6.net.

Ivan Svarkovsky’s S3-MSX-PC open-source project implements a bare-metal MSX2+ emulator running on an ESP32-S3 microcontroller and outputting 64-color VGA via a simple R-2R resistor ladder. It’s a fork of the Retro-Go emulator for ODROID-GO and other ESP32 devices, but with various optimizations. It was tested on an off-the-shelf ESP32-S3 board with one core handling the game logic and the other video and audio output. VGA is implemented through a clever resistor network that converts digital data into an analog signal that any old monitor understands, while audio relies on Sigma-Delta modulation with a multi-stage PDM filter. The USB host port on the board allows for the connection of a keyboard. S3-MSX-PC firmware highlights: Emulation Core – fMSX 6.0 — Full MSX1 / MSX2 / MSX2+ support Video Output VGA 640×480@60Hz, 16-bit parallel RGB via LCD_CAM Color Depth – 64 colors (2 bits per channel: R, G, B) Audio – PDM Stereo […]

The post Bare-metal MSX2+ Emulator for ESP32-S3 offers custom LCD_CAM VGA implementation & Z80 optimizations appeared first on CNX Software – Embedded Systems News.

Read more here: https://www.cnx-software.com/2026/06/11/bare-metal-msx2-emulator-for-esp32-s3-offers-custom-lcd_cam-vga-implementation-z80-optimizations/

The post Bare-metal MSX2+ Emulator for ESP32-S3 offers custom LCD_CAM VGA implementation & Z80 optimizations appeared first on IPv6.net.

Read more here: https://labs.ripe.net/author/mkoch/discovery-of-ipv6-router-addresses-using-subnet-router-anycast/

The post Discovery of IPv6 Router Addresses Using Subnet-Router Anycast appeared first on IPv6.net.

Read more here: https://blog.apnic.net/2026/06/11/discovery-of-ipv6-router-addresses-using-subnet-router-anycast-addresses/

The post Discovery of IPv6 router addresses using Subnet-Router Anycast addresses appeared first on IPv6.net.