July 15, 16:19

Edgehax develops domestic boards for edge computing in India to reduce import dependence

Despite significant hardware manufacturing in India, the country often relies on imported components. Computer modules and single-board computers, which serve as central elements for drones, industrial gateways, electric vehicles, and smart home devices, are mostly procured from abroad. This includes devices such as Raspberry Pi and Arduino boards, as well as foreign computing modules, putting Indian startups and manufacturers at risk of long lead times and uncontrollable overseas supply chains.

Edgehax, founded in Bengaluru in 2025, aims to eliminate this dependency by designing and manufacturing edge computing boards directly in India. The founders encountered this issue firsthand: Prabhu Stavarmath, CEO, spent over 15 years in IoT hardware, product development, and corporate sales, previously creating two hardware ventures—Bharat Pi and Refillbot—that served over 100,000 customers. Savitri Patil, COO, with experience in electronics and manufacturing, oversees operations, supply chain, and logistics. They concluded that the problem is structural: anyone producing a hardware product in India must start with an imported component responsible for its functionality.

Edgehax creates a unified board that integrates computing power, connectivity capabilities, and storage. This board is equipped with CPU, GPU, and NPU blocks and supports connections via 4G, 5G, Wi-Fi, and LoRa, featuring built-in storage. It runs on the company's proprietary operating system, DvarOS, specifically developed for industrial edge gateways. These boards are capable of executing convolutional neural networks and transformer models directly on the device, supporting remote deployment and software updates. The company asserts that the entire design and prototyping process is carried out in India.

The same hardware is used in diverse applications: industrial gateways, humanoid robots, autonomous vehicles, drones, NavIC-based tracking systems for India's defense needs, and consumer IoT devices. The customer receives a ready-to-use plugin with local sourcing and technical support, instead of a complex set of imported parts. While Raspberry Pi and Arduino are natural analogues for these boards, Edgehax positions its solutions as industrial, locally manufactured, and backed by long-term supply.

Edgehax has provided development kits to over 100,000 students and faculty across more than 30 universities and IITs, establishing a base of early adopters who have spread the product primarily through word-of-mouth and are now actively involved in developing, testing, and refining the kits. Commercially, the platform is utilized by over 150 startups, OEMs, and large enterprises, with over 5,000 edge gateway boards currently in production. Institutional support has been secured: Edgehax won the NXP Silicon Seeds Startup Program 2025 to create a low-cost computing module on NXP chips, and it also received the MeitY Bhashini award for developing equipment for the government's voice AI platform. Furthermore, the company is a beneficiary of the next-generation incubation program managed by Software Technology Parks of India, which provides mentorship and funding up to 25 lakh rupees to startups from smaller towns.

In August 2025, the company raised ₹1.39 crore in a seed round led by Inflection Point Ventures to fund production scaling, product development, and entry into international markets in Singapore, the US, and Europe in collaboration with NXP. This growth coincides with increasing global demand: global spending on edge hardware is projected to roughly double by 2030, reaching nearly $59 billion compared to $26 billion in 2025. The founders' goal is to become the primary design and manufacturing partner for OEMs requiring ready-to-use and customizable hardware, and to provide Edgehax boards and tools to 100 million developers in the Asia-Pacific region, the US, and Europe by 2029.

tecnoblog.netJuly 15, 21:16

Points to Consider Before Downloading and Installing the iOS 27 Beta Version

iOS 27 beta is a preliminary version of Apple's operating system, intended to allow enthusiasts to test features in advance. This process functions as a collaborative testing environment, where user feedback helps the company refine tools and detect flaws before the final release.

Risks and Disadvantages of Using Beta

Since it is a software under development, the iOS beta version may present instability, higher battery consumption, and compatibility issues with third-party software. For this reason, caution is recommended, avoiding use on primary devices and always ensuring a complete backup before starting the installation.

Five Crucial Aspects Before Installation

There are five fundamental points that must be evaluated before installing the iOS 27 beta. Firstly, regarding stability and bugs, the testing system may cause unexpected crashes, interface failures, and sudden restarts. Furthermore, essential functions, such as calls and data, may fail, leaving the user without signal or notifications.

Performance also varies; early beta versions tend to be less stable, while intermediate builds are usually more reliable. However, full fluidity and good autonomy are only guaranteed with the arrival of the final version.

Battery and App Compatibility

Secondly, battery life often deteriorates in the initial phases of the beta, draining power quickly even during simple activities. Since the platform is not yet fully optimized with the new updates, it is advisable to keep a portable charger accessible.

Thirdly, app and service compatibility may be compromised. Third-party software may stop working, show errors, or lose important features after installing the iOS 27 beta on the iPhone. This affects everything from banking services and two-factor authenticators (2FA) to VPN connections and productivity tools. This instability stems from developers still adapting the code to the new operating system, so it is prudent to check if essential applications already offer basic support before updating.

Security and Nature of the Test

In the fourth point, although the public beta of iOS 27 incorporates new security features, it may contain unpatched vulnerabilities. Such temporary flaws make personal data and sensitive files more susceptible to intrusions. Finally, the fifth point concerns the laboratory nature of the test: installing the iOS 27 beta requires accepting the possibility of bugs and unexpected application closures, making it suitable only for users who handle such occurrences well. It is vital to perform a complete backup to iCloud or a computer before starting.

General Recommendation and Download Procedure

The primary guideline is never to use the testing system on the main or professional iPhone, but rather on a dedicated secondary device. It is also suggested to wait for the public beta builds released mid-cycle to achieve greater stability.

To download the iOS 27 beta, first, perform a full backup of the iPhone to preserve data in case of the need to revert the system. After creating the backup, follow these steps: access beta.apple.com via the iPhone's Safari and log in with your Apple ID; click 'Enroll' to join the Apple Beta Software Program and accept the terms; on the iPhone, go to 'Settings', then 'General', and select 'Software Update'; tap 'Beta Updates' and select 'Public Beta Version of iOS 27'; finally, return to the previous screen and select 'Download and Install' or 'Update Overnight' to finalize the update.

Compatibility and Warranty

iPhone models compatible with the iOS 27 beta include several series, such as iPhone SE (2nd Generation and later), iPhone 11, iPhone 12, iPhone 13, iPhone 14, iPhone 15, iPhone 16, iPhone 17, as well as the iPhone Air.

Installing the iOS 27 beta does not void the iPhone warranty, as Apple officially sanctions these tests. However, when seeking authorized technical assistance, professionals may request that the device be reverted to the stable version before any repair. Factory support is only at risk if alternative methods or unauthorized files are used for installation. To prevent problems, the update must occur exclusively through the official Apple channel, and backup data must be kept up to date.

New Features and System Reversion

iOS 27 focuses on integrating artificial intelligence and enhancing the visual usability. Key innovations include Siri with generative AI, which understands long conversational contexts and executes tasks across multiple apps simultaneously; the 'Liquid Glass' visual, which gives a translucent effect to menus and Control Center, allowing opacity and tone adjustment; customizable screens with flexible widget sizes and greater wallpaper alignment precision; the ability to capture video images, extracting high-quality static frames; a smart Gallery that uses image recognition to classify media and speed up searches; and dynamic Safari, which generates real-time text summaries via AI and improves extension management.

Is it possible to revert the iOS 27 beta installation? Yes, it is feasible to return to the previous stable version by restoring the system using a computer. Since this process formats the device, it is necessary to restore a backup made before participating in the testing program. If this old backup is unavailable, the iPhone will need to be set up from scratch, as backups made in the beta version are not compatible with older systems.

tecnoblog.netJuly 15, 21:12

Anthropic points out that Claude alters its response personality depending on the language used

Anthropic conducted a comprehensive analysis of over 300,000 anonymous conversations and concluded that the Claude chatbot modifies the tone of its responses according to the language in which it is being used. This study demonstrates that the model can adopt different conversational nuances, varying between more cautious, direct, friendly, or detailed stances, depending on the language.

Claude's Behavior in Portuguese

In the specific case of Portuguese, the model exhibits a notable inclination to provide more technical and task-execution-focused answers. Based on over 15,000 interactions, Anthropic's analysis identified small positive trends related to Rigor, Execution, Caution, and Depth. The observed patterns include the ability to enhance and correct details even without explicit request, offering complementary information or paths, and incorporating creative elements or additional context into its outputs.

Linguistic Comparison Methodology

To measure the disparities between languages, researchers structured Claude's behavior across four main axes. The Deference or Caution axis assesses whether the model tends to validate the user's ideas or adopts a more prudent stance, issuing warnings about risks and limitations. The Sympathy or Rigor axis compares warmer responses with those that prioritize accuracy, factual correctness, and transparency. The Depth or Conciseness axis determines whether the chatbot prefers to elaborate extensive explanations or maintain brief and objective answers. Finally, Frankness or Execution observes whether Claude acknowledges its limitations or focuses on delivering a ready and confident solution.

The research highlights that the perception of quality can change drastically; for example, two people requesting feedback on the same business plan, one in Hindi and the other in Russian, may have distinct impressions due to the values expressed by Claude in each evaluation. Furthermore, the results may vary between different versions of the model, such as Opus 4.7, which tends to be more rigorous and cautious compared to other iterations.

Observed Differences in Other Languages

When compared with other languages, the distinctions become more evident. English was classified as more cautious and depth-oriented, showing a tendency to challenge incorrect premises and request more proof. Hindi showed the highest propensity for sympathy, generating lighter, encouraging, and humorous responses. Arabic was associated more with deference and conciseness, using more polished language adapted to the interlocutor's emotional state. Russian stood out for its rigor, providing more analytical and direct answers. Dutch demonstrated a greater tendency toward frankness, admitting limitations more frequently, while Indonesian proved to be more focused on execution, prioritizing task completion.

Hypotheses and Next Steps

Anthropic does not yet have a definitive explanation for the origin of these variations. One possible cause pointed out is the existence of smaller or more concentrated databases of certain types of text for some languages. Another factor considered is the influence of cultural adaptation and the reflection of the intrinsic characteristics of these languages. However, the company emphasizes that the study does not distinguish regional variations within the same language, such as Portuguese spoken in Brazil or Portugal, which reflects local customs. The company plans to continue monitoring these changes, aiming in the future to identify correlations between value profiles and problematic behaviors. It is relevant to mention that in previous research, Claude had already shown less willingness to assist in criminal schemes or be complacent with users' questionable conduct.