UTunnel VPN and ZTNA
UTunnel Secure Access offers solutions including Cloud VPN, ZTNA, and Mesh Networking to facilitate secure remote connections and reliable network performance.
ACCESS GATEWAY: Our Cloud VPN as a Service allows for the rapid deployment of VPN servers on either Cloud or On-Premise setups. By employing OpenVPN and IPSec protocols, it ensures secure remote connections complemented by policy-driven access controls, enabling businesses to establish a robust VPN network effortlessly.
ONE-CLICK ACCESS: The Zero Trust Application Access (ZTAA) feature revolutionizes secure interaction with internal business applications such as HTTP, HTTPS, SSH, and RDP. Users can conveniently access these services via their web browsers without the necessity of any client-side applications.
MESHCONNECT: This solution, combining Zero Trust Network Access (ZTNA) and mesh networking, offers detailed access controls tailored to specific business network resources and fosters the formation of secure, interconnected business networks for enhanced collaboration.
SITE-TO-SITE VPN: Additionally, the Access Gateway allows for the establishment of secure IPSec Site-to-Site tunnels, which facilitate connections between UTunnel's VPN servers and other network infrastructure components like gateways, firewalls, routers, and unified threat management (UTM) systems, thereby enhancing overall network security.
By integrating these features, UTunnel Secure Access is committed to providing comprehensive solutions that meet the evolving needs of modern businesses.
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Ditto
Ditto is the only mobile database that comes with built-in edge connectivity and offline resilience, allowing apps to sync data without depending on servers or continuous access to the cloud. As billions of mobile and edge devices—and the deskless workers using them—form the backbone of modern operations, organizations are running into the constraints of conventional cloud-first systems. Used by leaders like Chick-fil-A, Delta, Lufthansa, and Japan Airlines, Ditto is at the forefront of the edge-native movement, reshaping how businesses operate, sync, and stay connected beyond the cloud. By removing the need for external hardware, Ditto’s software-based networking lets companies develop faster, more fault-tolerant applications that perform even in disconnected environments—no cloud, server, or Wi-Fi required.
Leveraging CRDTs and peer-to-peer mesh replication, Ditto allows developers to build robust, collaborative applications where data remains consistent and available to all users—even during complete offline scenarios. This ensures business-critical systems remain functional exactly when they’re needed most.
Ditto follows an edge-native design philosophy. Unlike cloud-centric approaches, edge-native systems are optimized to run directly on mobile and edge devices. With Ditto, devices automatically discover and talk to each other, forming dynamic mesh networks instead of routing data through the cloud. The platform seamlessly handles complex connectivity across online and offline modes—Bluetooth, P2P Wi-Fi, LAN, Cellular, and more—to detect nearby devices and sync updates in real time.
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DreamFusion
Recent progress in text-to-image synthesis has been driven by diffusion models trained on vast collections of image-text pairs. To effectively adapt this approach for 3D synthesis, there is a critical need for large datasets of labeled 3D assets and efficient architectures capable of denoising 3D information, both of which are currently insufficient. This research aims to tackle these obstacles by utilizing an established 2D text-to-image diffusion model to facilitate text-to-3D synthesis. We introduce a groundbreaking loss function based on probability density distillation, enabling a 2D diffusion model to guide the optimization of a parametric image generator effectively. By applying this loss within a DeepDream-inspired framework, we enhance a randomly initialized 3D model, specifically a Neural Radiance Field (NeRF), through gradient descent, ensuring its 2D renderings from various angles demonstrate reduced loss. As a result, the generated 3D representation can be viewed from multiple viewpoints, illuminated under different lighting conditions, or integrated seamlessly into a variety of 3D environments. This innovative approach not only addresses existing limitations but also paves the way for the broader application of 3D modeling in both creative and commercial sectors, potentially transforming industries reliant on visual content.
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Magic3D
By integrating image conditioning techniques with a prompt-based editing strategy, we provide users with groundbreaking methods for manipulating 3D synthesis, thus opening doors to a plethora of creative opportunities. Magic3D stands out for its ability to generate highly detailed 3D textured mesh models derived from textual prompts. It utilizes a coarse-to-fine methodology that combines both low- and high-resolution diffusion priors, which effectively captures the 3D representation of the intended subject. Additionally, Magic3D generates 3D content with supervision that is eight times higher in resolution than that of DreamFusion, all while operating at double the speed. After creating an initial rough model from the provided text prompt, we can modify aspects of the prompt and fine-tune both the NeRF and 3D mesh models, ultimately leading to an improved high-resolution 3D mesh. This flexibility not only fosters greater creativity among users but also optimizes the workflow for crafting intricate 3D visualizations, ensuring a more efficient creative process. The seamless integration of these technologies empowers creators to push the boundaries of their artistic expressions.
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