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Movimientos y patrones en la tecnología que impulsan la innovación, el cambio y la evolución de industrias, empresas y la sociedad en general

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Conjunto de tecnologías que permite a las computadoras realizar tareas que normalmente requieren inteligencia humana.

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En todo el mundo se habla de Inteligencia Artificial, pero ¿realmente sabes cómo funciona y para qué sirve? La Inteligencia Artificial (IA) es una rama de la informática que se enfoca en la creación de sistemas y tecnologías que pueden realizar tareas que normalmente requieren inteligencia humana.

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Es un libro mayor digital descentralizado, transparente e inmutable que registra transacciones y datos de manera segura.

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Es la práctica de proteger sistemas, redes, datos y dispositivos de ataques digitales.

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Our systems have detected unusual traffic from your computer network. This page checks to see if it’s really you sending the requests, and not a robot. Why did this happen?

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VR sumerge al usuario en un mundo totalmente digital y simulado, mientras que AR superpone información digital en el mundo real.

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¿Qué son la Realidad Virtual (VR) y la Realidad Aumentada (AR)?

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Enjoy the videos and music you love, upload original content, and share it all with friends, family, and the world on YouTube.

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Usan IA para interactuar con las personas mediante lenguaje natural, reconociendo voz o texto.

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The highly competitive, multi-billion dollar mobile app market has become a hotbed for artificial intelligence adoption, leading to a proliferation of AI apps.

These days, app users crave personalized experiences, intuitive design and instant gratification. Incorporating AI into those apps makes it easier for companies to satiate them, no matter what industry they're in. Whether a user wants to edit a photo, learn a new language or transcribe a phone call - there's usually an AI app for that.

Top AI Apps

Chatbots

ChatGPT can hold conversations, answer questions or create new text content. | Image: Shutterstock

ChatGPT

A leader in the chatbot space, ChatGPT is able to converse with users, answer given questions and generate new text. ChatGPT is popularly used as a tool to create written content, like articles, emails, scripts, essays and code. Its developer, OpenAI, is also responsible for designing AI models GPT-4, DALL-E and DALL-E 2.

Bing by Microsoft can provide users custom answers, proofread writing and generate text and images. | Image: Shutterstock

Bing

Microsoft Bing has long been known as a search engine to explore the web, but can also be used as a chatbot to respond to questions, produce creative text and images, plus translate and proofread writing in multiple languages. Bing's chat feature - which is available on Bing.com, the Microsoft Edge web browser and as a mobile app - runs on GPT-4 technology to generate its content.

Ask AI can hold conversations, create new text and scan images provided by users. | Image: Codeway

Ask AI

Powered by the ChatGPT API and GPT-4, Ask AI is able to answer user questions, chat with users and write outlines and other new content based on text prompts. Ask AI provides various topics to chat about, from business to entertainment, and can do so across several different languages. It can also scan and capture text from photos taken by users to start a conversation.

Image Editing and Creation

FaceApp lets users experiment with creative effects that can be applied to selfies and faces in photos. | Image: FaceApp

FaceApp

FaceApp leverages AI to help users get creative with their selfie editing. On the app, users can adjust their face's aesthetic features like makeup, hairstyle or facial hair, or even change physical features like face shape, gender characteristics or perceived age. A related app by the same developer, named FaceApp Video, can apply similar edits and effects for videos.

Facetune allows users to touch up their photos or generate avatars. | Image: Facetune

Facetune

For people wanting to make quick edits on their photos and videos, Facetune is a popular resource. It is commonly used to make skin touch-ups, whiten teeth, add makeup and alter face shape. The app also has its own avatar generator, allowing users to level up their selfies with AI-generated costumes, hairstyles, backgrounds and more.

Lensa's Magic Avatar feature allows users to generate artistic edits and iterations of selfies that users provide. | Image: Lensa

Lensa

Lensa has taken social media by storm with its ability to generate artistic edits and iterations of selfies that users provide. Created by Prisma Labs, Lensa uses neural network, computer vision and deep learning techniques to bring mobile photography and video creation "to the next level," according to the company. The app allows users to make anything from minor edits like background blurring to entirely unique renderings.

StarryAI transforms text prompts into images, avatars and even NFTs. | Image: StarryAI

StarryAI

StarryAI is an AI art generator that can transform a simple text prompt into an image. To accomplish this, the app relies on two AI models. The first uses a specific class of machine learning models called GANs, or generative adversarial networks, to render the artwork creations. The second uses stable diffusion to create artwork and images. StarryAI is one of many text-to-image generators on the market right now, and allows users to make everything from AI avatars to NFTs.

Virtual Assistants

Amazon's Alexa can perform fluent conversations with its user and can be used to control other smart devices. | Image: George W. Bailey / Shutterstock

Alexa

Since its launch in 2014, Amazon's Alexa has become a household name. The AI voice assistant allows users to make lists, set alarms, order products online and much more. And its sophisticated natural language processing capabilities allow Alexa to not only understand spoken language, but also generate it through fluent conversations with users. The app can also be paired with accompanying smart devices to control things like smart thermostats, wearables, televisions and even cars straight from the user's phone.

Google Assistant supports both voice and text commands, and can handle everything from internet searches to voice-activated control of other devices. | image: nikkimeel / Shutterstock

Google Assistant

As a leader in the AI space, Google Assistant is considered to be one of the most advanced virtual assistants of its kind on the market. Using natural language processing, it supports both voice and text commands, and can handle everything from internet searches to voice-activated control of other devices. The app is compatible with an entire suite of smart devices, including refrigerators, lights and cars - providing a truly connected Internet-of-Things experience for users.

Siri is available on virtually all apple devices and helps its users do everything from send text messages to identify a song that's playing. | Image: Wachiwit / Shutterstock

Siri

Launched in 2011, Siri is widely considered to be the OG of virtual assistants. By this point, all Apple devices are equipped with it, including iPhones, iPads, watches and even televisions. The app uses voice queries and a natural language user interface to do everything from send text messages to identify a song that's playing. It can also adapt to a user's language, searches and preferences over time.

Education

Duolingo uses machine learning to make course improvements, taking into consideration the nuances of various languages. | Image: Duolingo

Duolingo

Duolingo provides listening, reading and speaking exercises in dozens of global languages, all the while providing aspects of gamification to keep users coming back. By applying AI, Duolingo's lessons are paced and leveled specifically for each student according to their performance. It also uses data and machine learning to make course improvements, taking into consideration the nuances of various languages.

ELSA Speak uses AI to identify areas in a user's speech to improve their pronunciation. | Image: ELSA

ELSA Speak

ELSA Speak uses AI to help users perfect their English speaking skills. With speech data and voice recognition technology, the app is able to listen to a user's accent and applies a color-coded system of red, yellow and green to identify how close the user pronounced certain words, as well as provide tips for how the user can improve. The app also includes language proficiency assessments, personalized curriculum, progress tracking and personalized lessons.

Socratic helps students with their homework by creating visual explanations based on images students provide. | Image: IgorGolovniov / Shutterstock

Socratic

Socratic provides homework help to students in middle and high school. All they have to do is take a picture of what they are working on with their phone, and the AI offers visual explanations to help them complete it. Acquired by Google in 2018, the app uses advanced text and speech recognition, and provides assistance in a variety of subjects, including literature, physics, biology, trigonometry and more.

Personal Finance

Ally Financial's mobile app uses a machine learning-based chatbot to help users answer financial questions. | Image: Diego Thomazini / Shutterstock

Ally Financial

Ally Financial's mobile banking app has a text and voice-enabled AI chatbot to answer questions, handle any money transfers and payments, as well as provide transaction summaries. Ally also uses AI to streamline its loan approval process, extracting data from loan documents and comparing them with multiple databases to confirm applicants' identity, employment, income and other pertinent information.

Cleo uses AI and natural language generation to provide general financial advice. | Image: Cleo

Cleo

Cleo is a chatbot that is specifically designed to provide budgeting assistance by linking directly to a user's bank account. Using AI and natural language generation, the app provides general financial advice as well as unique messages according to if a user wants to be "roasted" or "hyped" for their financial behavior. Cleo also helps users set specific budgets and goals, track their spending and more.

Fyle uses AI to simplify employee expense management. It can handle expense reporting, real-time data extraction, travel requests and advances, analytics and more. | Image: Fyle

Fyle

Available on both desktop and as a mobile app, Fyle uses AI to simplify employee expense management. Specifically, it can handle expense reporting, real-time data extraction, travel requests and advances, analytics and much more. By directly integrating with any Visa and Mastercard card, Fyle provides employees with automatic notifications about transactions, and allows them to submit their receipts directly through other apps like Gmail, Outlook and Slack.

Health and Wellness

Calm uses AI to deliver more personalized experiences and recommendations to users based on data. | Image: Calm

Calm

With more than 50 million downloads on the Google Play Store, Calm is one of the most popular mobile meditation apps on the market today. It offers guided meditation, sleep and stretching services, as well as music and scenes to help users sleep, relax or focus. The app also uses Amazon Personalize, a machine learning-powered tool developed by AWS, to deliver more individualized experiences and recommendations to users based on their data.

FitnessAI uses artificial intelligence to generate personalized workouts according to a given user's experience and goals. | Image: Fitness AI

FitnessAI

Available exclusively as an iOS app, FitnessAI uses artificial intelligence to generate personalized workouts according to a given user's experience and goals. With nearly 6 million preset workouts, the AI optimizes sets, reps and weight for each exercise every time a user works out. Users can also track their progress over time on the app.

Woebot's chatbot can converse with a given user about whatever they want. It can remember what it has been told, and continues to learn the more it is engaged with. | Image: Woebot

Woebot Health

Woebot Health combines decades of psychology research with advanced AI to assess, chat and respond to users' symptoms of mental health conditions like anxiety and depression, according to the company. Woebot is also very intentional about reminding users that it is a chatbot, not a real person, which establishes trust among users, according to Jade Daniels, the company's director of content.

Youper offers a mood tracker, personality assessments, a selection of mindfulness exercises and more. | Screenshot: Youper

Youper

Youper features a mental health-focused AI chatbot, which converses with users about their emotional struggles, and offers personalized advice and techniques for how to cope. The app also offers a mood tracker, personality assessments, a selection of mindfulness exercises and more. Like Woebot, Youper claims its technology is based on decades of psychological and evidence-based therapies.

Maps and Navigation

Google Maps uses AI to predict traffic conditions in the near future. | Image: AngieYeoh / Shutterstock

Google Maps

Google Maps aggregates location data from smartphones, as well as user-reported data on things like construction and car accidents to monitor the ebb and flow of traffic, determine an ETA and provide users with the fastest route to their desired destination. The app also uses advanced machine learning techniques and analysis of historical traffic conditions to predict traffic conditions in the near future.

Waze uses AI and machine learning to provide its users with the fastest available routes to their destinations. | Image: DANIEL CONSTANTE / Shutterstock

Waze

Although it was acquired by Google in 2013, the Waze app remains a separate entity from Google Maps, and a top competitor to both its parent company's GPS and others. In addition to relying on real-time traffic data shared by its millions of active monthly users, Waze uses AI and machine learning to provide its users with the fastest available routes to their destinations.

Transcription

Recorder is available for free on the Google Pixel. | Screenshot: Google

Google Recorder

Unlike many other AI transcription services, Google's Recorder is free - so long as the user has a Pixel smartphone. All they have to do is open the app and press the large red button to record their call, which is automatically transcribed at the same time. Once the transcription is complete, users can search through it, edit it, move around sections and share it either in-full or as snippets with others.

Otter.ai uses artificial intelligence to automatically transcribe recordings, breaking them down by speaker. | Image: Otter.ai

Otter.ai

Available both online and as a mobile app, Otter.ai offers a wide range of services, including the ability to record Zoom and Google video conferences, as well as phone calls. It uses artificial intelligence to automatically transcribe those recordings, breaking them down by speaker. The transcription also includes an automatically generated outline with corresponding time stamps, which highlights the key conversation points in the recording and allows users to jump to them quickly.

Trint can automatically transcribe in over 30 different languages, and translate completed transcriptions into more than 50 languages. | Image: Trint

Trint

Trint's AI transcription services have been used by major organizations including Airbnb, the Washington Post and Nike. Its AI-enabled mobile app allows users to easily record, transcribe and publish content instantly, as well as leave notes and make edits to the transcription itself. According to Trint, it can also automatically transcribe in over 30 different languages, and translate completed transcriptions into more than 50 languages.

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AI apps put the power of artificial intelligence right in the user's hand. Some of these leading apps include ChatGPT, Bing, Google Assistant, Lensa and more.

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Sistemas que analizan consultas de los usuarios, interpretan su intención y muestran resultados relevantes en internet.

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Rumbo a la Cima Estrategias SEO para la Optimización en Motores de Búsqueda

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Herramientas que usugieren productos, servicios o contenidos a los usuarios basándose en sus preferencias.

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Agencia de Marketing Online y Offline (1)

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Aplicaciones que calculan rutas óptimas, predicen tráfico en tiempo real y estiman tiempos de llegada.

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вектор иллюстрацией навигационной карты с Gps  PNG , интернет клипарт, Gps   навигация, навигация PNG картинки и пнг рисунок для бесплатной загрузки

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Tecnología que identifica o verifica la identidad de personas analizando rasgos faciales a partir de imágenes o videos.

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Sistemas que convierten texto o voz de un idioma a otro.

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Dispositivos que automatizan funciones del hogar.

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Smart home interface with ar view of iot objects interior _ Premium AI-generated image

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Asistentes virtuales. IA específica: Apple Neural Engine

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Motores de búsqueda. IA específica: RankBrain

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Sistemas de recomendación. IA específica: Netflix Recommendation Engine

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Navegación GPS. IA específica: Graph Neural Networks

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Reconocimiento facial. IA específica: Redes neuronales convolucionales (CNNs)

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Traducción automática. IA específica: GNMT (Google Neural Machine Translation)

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Hogares inteligentes. IA específica: SLAM (Simultaneous Localization and Mapping)

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Detecta y elimina virus.

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Our systems have detected unusual traffic from your computer network. This page checks to see if it’s really you sending the requests, and not a robot. Why did this happen?

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Oculta tu ubicación y protege tu conexión.

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Our systems have detected unusual traffic from your computer network. This page checks to see if it’s really you sending the requests, and not a robot. Why did this happen?

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Guardan y crean claves seguras.

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Our systems have detected unusual traffic from your computer network. This page checks to see if it’s really you sending the requests, and not a robot. Why did this happen?

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Bloquean accesos no autorizados a tu red.

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Zone Alarm vs Comodo: ¿cuál es mejor? [Las mejores opciones de 2025]

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Probamos la tasa de detección de virus, los precios y las características de las versiones gratuitas y de pago para dispositivos móviles y de escritorio. Comprueba quién ganó la batalla de Zone Alarm vs. Comodo

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Añade un segundo código al iniciar sesión.

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Our systems have detected unusual traffic from your computer network. This page checks to see if it’s really you sending the requests, and not a robot. Why did this happen?

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Separan correos basura o con intentos de fraude.

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Email Server - Correo Electrónico con SpamAssassin - Capitulo 5

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En este capitulo se muestra como controlar el SPAM en el servidor de correo electrónico. Blog https://www.lastdragon.net/ Twitter https://twitter.com/LastDragonMX​ Patreon https://www.patreon.com/lastdragon​ Link de grupo a Telegram https://t.me/joinchat/Rw6gSF8VNLgWRMHH #spamassassin #postfix #dovecot #debian #linux

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Protegen archivos para que solo tú los puedas abrir.

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Guide to VeraCrypt – Safely Encrypt Files

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VeraCrypt is open-source software that enables anyone to effectively and safely protect their files, drives, or system partitions, from prying eyes. In this article, we’ll show you what VeraCrypt is capable of and how you can use it to encrypt your data. Should you be asking yourself why it’s necessary to do so in the first place, we recommend starting out with our article on encrypting Windows, Mac, and external hard drives.

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Software que analiza archivos y procesos del sistema para detectar, bloquear y eliminar malware.

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Taking steps to prevent identity theft after a loved one dies

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Tecnología que crea un túnel cifrado entre el dispositivo del usuario e internet, ocultando la IP real.

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Aplicaciones que almacenan credenciales en bases de datos cifradas y generan contraseñas robustas.

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Sistemas de seguridad que controlan el tráfico de red de entrada y salida según reglas predefinidas.

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Mecanismo de seguridad que combina algo que sabes (contraseña) con algo que tienes (código o token).

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Algoritmos que clasifican correos electrónicos y detectan phishing o spam mediante reglas y análisis automático.

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Software que aplica algoritmos criptográficos (ej. AES, RSA) para proteger datos y garantizar confidencialidad.

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Primera criptomoneda basada en blockchain, usada como dinero digital descentralizado.

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Bitcoin | Precio del Bitcoin hoy | Cotización BTC - Investing.com

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Precio del Bitcoin hoy: capitalización bursátil, gráficos y más datos sobre la cotización del Bitcoin o precio del BTC en tiempo real: 109.397.

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Plataforma blockchain que permite crear contratos inteligentes y aplicaciones descentralizadas.

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Red blockchain optimizada para transacciones rápidas y baratas.

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Binance ha experimentado un gran crecimiento desde que puso un pie por primera vez en el espacio criptográfico. Dirigido por Changpeng Zhao, conocido como “CZ”, Binance es el intercambio centralizado

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Plataforma blockchain empresarial para redes privadas y permisos.

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Hyperledger Fabric has long been a cornerstone of enterprise blockchain, effectively addressing the deficiencies and governance challenges of public blockchain systems. Designed for modularity, scalability, and effective governance, it laid the groundwork for enterprise blockchain applications where trust, compliance, and performance are paramount.

As the financial landscape undergoes rapid transformation through the tokenization of assets-ranging from central bank digital currencies (CBDCs) and stablecoins to tokenized securities and deposits-Hyperledger Fabric is evolving as well. A critical leap forward is underway with a set of enhancements, collectively dubbed Fabric-X, driven by key code contributions from the IBM Research team. These updates are designed to equip Fabric with the capabilities needed to support the next generation of regulated digital assets at scale.

Read on for the details of what exists, what is required, and what is coming in Hyperledger Fabric's support for digital assets....

Crit ical founda tional features of Hyperledger Fabric

Hyperledger Fabric, an open-source project under the Linux Foundation's LF Decentralized Trust umbrella, was designed to provide a modular and scalable framework for enterprise blockchain applications. As such, many of its principles of operation are already relevant for regulated digital assets and currency use cases.

Below are defining features of Fabric for supporting enterprise deployments that are also relevant for financial applications:

Feature 1: Identity & access management

Unlike public blockchains, Fabric operates on a permissioned network, ensuring that all participants are known and have been given permission to be part of the system (i.e., they are trusted). On a technical level, this means that network participants are granted identities that allow them to transact on the system and ensure accountability of their actions within it. Identities in Fabric also serve resource access management purposes. Fabric participants can be privileged (i.e., allowed to deploy their own smart contracts) and evolve them as per their compliance or functional needs. Or they can simply be consumers of an application (i.e., allowed to only trigger the execution of smart contracts via transactions that they submit into the system). Depending on their stake in the system, participants may be involved in the transactional ledger of the system (i.e., the consensus layer that decides the order in which transactions appear on the ledger). Notice, that while the order of transactions can have an impact on the system's state, it cannot modify the logic that each smart contract involves or the way that is being executed.

Feature 2: Modular governance and sovereign smart contracts

A core innovation of Fabric is its governance flexibility. While the network as a whole operates under a consensus protocol (e.g., SmartBFT), each smart contract is governed independently by its stakeholders. Other system participants can always inspect that transactions are executed in accordance with each smart contract's trust assumptions. This model provides a high degree of transparency and accountability, crucial for enterprise applications where regulatory compliance (including data protection/localization regulation) is paramount.

Feature 3: Modula r and s calable architecture

Fabric adopts a pre-order computation mechanism, ensuring tailored security, optimal efficiency and horizontal scalability of smart contract execution. More specifically, the system's architecture assumes three phases in transaction processing:

I. Computation of Smart Contracts: Fabric allows for the execution of smart contracts outside of the critical path
A. in a horizontally scalable manner,
B. in an operationally resilient manner, to avoid single points of failure or trust, and
C. by a set of parties trusted by the smart contract (its stakeholders).

This approach strengthens security and compliance, enhancing efficiency, and reducing end-to-end latency.

II. Modular Consensus Algorithm: The framework supports pluggable consensus algorithms, enabling organizations to choose the consensus mechanism that best fits their needs and trust assumptions.
III. Ledger state commitment: This ensures that only transactions that have been processed by authorized parties in phase I and consume fresh state will alter the system's state.

__________
By providing sovereignty,accountability , modularity and scalability, Hyperledger Fabric has laid out a strong foundation for digital assets, across regulatory domains and evolving financial ecosystems. That said, there are more optimizations that can take place to optimally support digital assets at scale.
___________

By digital assets, we mean the digitization of the lifecycle of business assets (such as money, bonds, or equities) on programmable, transparent platforms like Distributed Ledger Technologies (DLTs). Assetstied to regulated instruments, such as central bank money, commercial bank deposits, or securities, are regulated digital assets, which come with their own set of unique challenges. While DLTs have rapidly advanced in the last few years, most stillfall shortin several critical areas when applied to regulated digital assets:

Governance: Effective governance is crucial for regulated digital assets, ensuring accountable decision-making, and compliance with evolving regulations and agreed-upon standards. Such governance models become particularly challenging to accommodate in public DLTs, due to their open, decentralized nature. It brings milder challenges in permissioned DLTs with operations that span across multiple jurisdictions, trust domains, or markets. Modular governance plays an important role in meeting this requirement.

Compliance: Adhering to regulation can become quite complex, especially when a digital asset system spreads across multiple jurisdictions. Such a system must meet the needs of multiple legal frameworks, each with varying requirements around data privacy and localization, financial reporting and controls, and cybersecurity standards (e.g., post-quantum readiness). Most DLT platforms were not designed with this level of policy flexibility or isolation in mind.

Interoperability and underlying ledger agnosticism: As digital assets proliferate, it becomes clear that no single ledger can rule them all. Instead, we are moving towards multi-layered, interoperable digital asset systems where the application layer dominates in importance, and applications remain agnostic of the underlying DLT platform. It is therefore expected that interoperation standards will govern cross-application communication or enable one application to leverage another (composability). Flexibility in the programming model and smart contract orchestration becomes, therefore, critical.

Performance and scalability: Digital asset systems need to scale-not only to support retail use cases (which may requiretens of thousands of TPS)-but also to allow seamlessexpansion across asset types and geographic domains. Unfortunately, many DLT platforms still struggle to handle high transaction volumes efficiently, while ensuring a single system of record:

Smart contract execution in the critical path often becomes a bottleneck

As more applications run on the same network, performance degrades

Privacy and accountability: Supporting transactional privacy for parties operating the ledger (e.g., smart contract or consensus stakeholders), while ensuring integrity of the transaction processing operations (e.g., account holders do not overspend their balances) and non-repudiation can be challenging. It is typically supported either with the use of trusted execution environments that contain sensitive data within the limits of hardware enclaves, or by using advanced cryptography. While the usage of TEEs is typically accompanied by (blind) trust on the hardware manufacturers and has been shown in the past to be susceptible to a variety of attacks, both alternatives come with complexity and computation overhead. Without proper separation of duties in system architecture, these privacy-enhancing techniques can drag performance down to unusable levels.

___________
Regulated digital assets demand a DLT framework that combines strong governance , jurisdictional compliance , scalability , interoperability , and privacy -capabilities often missing in traditional DLTs.
Addressing the requirements: Hyperledger Fabric Next Generation (Fabric-X)

To tailor Hyperledger Fabric to be a scalable, flexible, and secure platform for regulated digital assets, numerous new and existing development efforts are coming together to make up Fabric-X, a digital asset-specific implementation of Fabric. Much of this work has been underway at IBM Research over the last couple of years and will be contributed to LF Decentralized Trust as part of the Hyperledger Fabric code base.

Fabric-X builds on the core principles of Hyperledger Fabric-sovereign, horizontally scalable smart contract execution and a modular, agile architecture-making it well-suited to meet the governance and compliance needs of regulated digital assets. Beyond this foundation, Fabric-X introduces powerful new capabilities designed specifically to optimize and scale digital asset solutions.

Capability 1: Flexible programming model

Fabric-X comes with a programming model that provides application developers with flexibility in orchestrating cross-participant or cross-network messages during smart contract execution. This enables smart contracts to operate not only in the traditional deterministic model-where execution depends solely on the ledger state and input parameters-but also to incorporate external lookups, integrate sign-offs from other application components, and embed custom logic tailored to diverse regulatory frameworks. Such a programming model lays the groundwork for regulatory compliance to be addressed either at the application layer or within the underlying DLT platform itself. Early versions of this capability can be found in the Fabric Smart Client lab repository

Capability 2: Scalable Byzantine Fault Tolerant consensus support

While Fabric has long supported pluggable consensus mechanisms, native support for Byzantine Fault Tolerance (BFT) has only emerged in recent years. BFTbrings increased operational resilience, yet often falls short on performance. Fabric-X addresses this with the integration of the consensus protocol, delivering scalable, BFT-grade consensus with built-in censorship resistance. ARMA achieves transaction throughputs on the order of 100,000 TPS on commodity hardware, assuming standard transaction formats (e.g., two inputs, two outputs). This makes it suitable for demanding digital asset workloads requiring both robustness and speed.

Capability 3: Parallel transaction processing

Fabric-X introduces a redesigned ledger state commitment mechanism (Transaction Processing Phase III), leveraging established distributed systems techniques to significantly boost parallelism in the transaction processing pipeline. This architectural improvement enables throughput exceeding 100,000 TPS on commodity hardware, marking a100x performance increase over previous Fabric versions. This performance leap supports even retail-scale transaction volumes. It also makes Fabric-X a powerful foundation for a wide range of regulated liability or settlement networks, positioning it asa versatile engine for current and future digital asset systems.

Capability 4: Advanced cryptography and Self Sovereign Identit y

Fabric-X retains Fabric's foundational principle of separating application logic (smart contracts) from the underlying consensus and ledger layers-supporting a modular, general-purpose DLT architecture. Expanding on this, Fabric-X introduces native support for advanced cryptographic frameworks, such as Zero-Knowledge Proofs, to enable multiple levels of privacy in digital asset operations. These features are delivered through a dedicated labs initiative: the Fabric Token SDK .

At the heart of Fabric Token SDK sits an identity layer that extends and optimizes Self-Sovereign Identity (SSI) protocols for digital asset use cases like ownership and authorization. Originally central to Know-Your-Customer (KYC) frameworks, SSI has been enhanced with cryptographic bridges that allow users to prove asset ownership in a privacy-preserving, accountable, and audit-compliant way. This layer brings powerful compliance capabilities to regulated digital asset systems-without sacrificing user confidentiality

What do th ese new ca pabilities give us?

The introduction of Highly Scalable Byzantine Fault Tolerant Consensus (Capability 2) and High parallelism in Transaction Processing (Capability 3) position Fabric-X as the sole DLT that can process transactions at a rate of hundreds of thousands per second, with integrated operational resilience at each stage of transaction processing, and a single system of record acting as the source of truth.

The Privacy and Accountability capabilities (Capability 4) lay the groundwork for robust compliance--including data protection, post-quantum readiness, and auditability. When integrated with the flexible programming model (Capability 1) and Fabric's foundational principles around modular governanceand sovereign smart contracts, Fabric-X emerges as a regulation-ready platform fo r next-generation digital asset systems.

If you're eager to dive deeper into what's coming with Fabric-X, you can explore the . The first release is expected to land in the Hyperleger Fabric repository by the end of May 2025. A theoretical foundations of Fabric-X and follow ongoing code development in the Hyperledger Fabric GitHub webinar introducing Fabric-X is planned for 7AM PT/10 AM ET/4PM CET/7:30 PM IST on June 11.

IBM Research is a leading contributor to Fabric-X, andIBM remains fully committed to advancing the open-source ecosystem-ensuring that Fabric-X evolves to meet the demanding requirements of regulated digital asset and digital currency systems worldwide.

We invite you to get involved in this work and the Hyperledger Fabric community. To contribute to the open development of Fabric-X, find us on or join our .

1. Notice, that Fabric Smart Client already supports connections to Hyperledger Fabric. However, its use is only possible in conjunction with the official Fabric Client SDK, as smart contract deployment and other administrative operations of Fabric are tied to the latter and to the Fabric Peer.

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New major contribution to Hyperledger Fabric: Purpose-built implementation for next-gen digital assets

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Announcement of a new digital asset-specific implementation of Hyperledger Fabric, a major contribution from IBM Research

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Where to Start

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Learn More

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Preview New Features

In Development
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Hooks are small, efficient WebAssembly modules designed specifically for the XRPL. Check out the hooks amendment and public testnet that enable smart contract functionality.

Enabled
Automated Market Makers

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Join the Community
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Get Involved

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XRPL.org is a community-driven site for the XRP Ledger (XRPL), an open-source, public blockchain. Gain access to technical documentation, reference materials, and blockchain ledger tools.

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Blockchain de alta velocidad y bajo costo para aplicaciones descentralizadas.

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