Telecom companies last year spent nearly billion in capital expenditures and over trillion in operating expenditures. These large expenses are due in part to laborious manual processes that telcos face when operating networks that require continuous optimizations. For example, telcos must constantly tune network parameters for tasks — such as transferring calls from one network to another or distributing network traffic across multiple servers — based on the time of day, user behavior, mobility and traffic type. These factors directly affect network performance, user experience and energy consumption. To automate these optimization processes and save costs for telcos across the globe, NVIDIA today unveiled at GTC Paris its first AI Blueprint for telco network configuration. At the blueprint’s core are customized large language models trained specifically on telco network data — as well as the full technical and operational architecture for turning the LLMs into an autonomous, goal-driven AI agent for telcos. Automate Network Configuration With the AI Blueprint NVIDIA AI Blueprints — available on build.nvidia.com — are customizable AI workflow examples. They include reference code, documentation and deployment tools that show enterprise developers how to deliver business value with NVIDIA NIM microservices. The AI Blueprint for telco network configuration — built with BubbleRAN 5G solutions and datasets — enables developers, network engineers and telecom providers to automatically optimize the configuration of network parameters using agentic AI. This can streamline operations, reduce costs and significantly improve service quality by embedding continuous learning and adaptability directly into network infrastructures. Traditionally, network configurations required manual intervention or followed rigid rules to adapt to dynamic network conditions. These approaches limited adaptability and increased operational complexities, costs and inefficiencies. The new blueprint helps shift telco operations from relying on static, rules-based systems to operations based on dynamic, AI-driven automation. It enables developers to build advanced, telco-specific AI agents that make real-time, intelligent decisions and autonomously balance trade-offs — such as network speed versus interference, or energy savings versus utilization — without human input. Powered and Deployed by Industry Leaders Trained on 5G data generated by BubbleRAN, and deployed on the BubbleRAN 5G O-RAN platform, the blueprint provides telcos with insight on how to set various parameters to reach performance goals, like achieving a certain bitrate while choosing an acceptable signal-to-noise ratio — a measure that impacts voice quality and thus user experience. With the new AI Blueprint, network engineers can confidently set initial parameter values and update them as demanded by continuous network changes. Norway-based Telenor Group, which serves over 200 million customers globally, is the first telco to integrate the AI Blueprint for telco network configuration as part of its initiative to deploy intelligent, autonomous networks that meet the performance and agility demands of 5G and beyond. “The blueprint is helping us address configuration challenges and enhance quality of service during network installation,” said Knut Fjellheim, chief technology innovation officer at Telenor Maritime. “Implementing it is part of our push toward network automation and follows the successful deployment of agentic AI for real-time network slicing in a private 5G maritime use case.” Industry Partners Deploy Other NVIDIA-Powered Autonomous Network Technologies The AI Blueprint for telco network configuration is just one of many announcements at NVIDIA GTC Paris showcasing how the telecom industry is using agentic AI to make autonomous networks a reality. Beyond the blueprint, leading telecom companies and solutions providers are tapping into NVIDIA accelerated computing, software and microservices to provide breakthrough innovations poised to vastly improve networks and communications services — accelerating the progress to autonomous networks and improving customer experiences. NTT DATA is powering its agentic platform for telcos with NVIDIA accelerated compute and the NVIDIA AI Enterprise software platform. Its first agentic use case is focused on network alarms management, where NVIDIA NIM microservices help automate and power observability, troubleshooting, anomaly detection and resolution with closed loop ticketing. Tata Consultancy Services is delivering agentic AI solutions for telcos built on NVIDIA DGX Cloud and using NVIDIA AI Enterprise to develop, fine-tune and integrate large telco models into AI agent workflows. These range from billing and revenue assurance, autonomous network management to hybrid edge-cloud distributed inference. For example, the company’s anomaly management agentic AI model includes real-time detection and resolution of network anomalies and service performance optimization. This increases business agility and improves operational efficiencies by up to 40% by eliminating human intensive toils, overheads and cross-departmental silos. Prodapt has introduced an autonomous operations workflow for networks, powered by NVIDIA AI Enterprise, that offers agentic AI capabilities to support autonomous telecom networks. AI agents can autonomously monitor networks, detect anomalies in real time, initiate diagnostics, analyze root causes of issues using historical data and correlation techniques, automatically execute corrective actions, and generate, enrich and assign incident tickets through integrated ticketing systems. Accenture announced its new portfolio of agentic AI solutions for telecommunications through its AI Refinery platform, built on NVIDIA AI Enterprise software and accelerated computing. The first available solution, the NOC Agentic App, boosts network operations center tasks by using a generative AI-driven, nonlinear agentic framework to automate processes such as incident and fault management, root cause analysis and configuration planning. Using the Llama 3.1 70B NVIDIA NIM microservice and the AI Refinery Distiller Framework, the NOC Agentic App orchestrates networks of intelligent agents for faster, more efficient decision-making. Infosys is announcing its agentic autonomous operations platform, called Infosys Smart Network Assurance, designed to accelerate telecom operators’ journeys toward fully autonomous network operations. ISNA helps address long-standing operational challenges for telcos — such as limited automation and high average time to repair — with an integrated, AI-driven platform that reduces operational costs by up to 40% and shortens fault resolution times by up to 30%. NVIDIA NIM and NeMo microservices enhance the platform’s reasoning and hallucination-detection capabilities, reduce latency and increase accuracy. Get started with the new blueprint today. Learn more about the latest AI advancements for telecom and other industries at NVIDIA GTC Paris, running through Thursday, June 12, at VivaTech, including a keynote from NVIDIA founder and CEO Jensen Huang and a special address from Ronnie Vasishta, senior vice president of telecom at NVIDIA. Plus, hear from industry leaders in a panel session with Orange, Swisscom, Telenor and NVIDIA. #calling #llms #new #nvidia #blueprint

Project G-Assist — available through the NVIDIA App — is an experimental AI assistant that helps tune, control and optimize NVIDIA GeForce RTX systems. NVIDIA’s Plug and Play: Project G-Assist Plug-In Hackathon — running virtually through Wednesday, July 16 — invites the community to explore AI and build custom G-Assist plug-ins for a chance to win prizes and be featured on NVIDIA social media channels. G-Assist allows users to control their RTX GPU and other system settings using natural language, thanks to a small language model that runs on device. It can be used from the NVIDIA Overlay in the NVIDIA App without needing to tab out or switch programs. Users can expand its capabilities via plug-ins and even connect it to agentic frameworks such as Langflow. Below, find popular G-Assist plug-ins, hackathon details and tips to get started. Plug-In and Win Join the hackathon by registering and checking out the curated technical resources. G-Assist plug-ins can be built in several ways, including with Python for rapid development, with C++ for performance-critical apps and with custom system interactions for hardware and operating system automation. For those that prefer vibe coding, the G-Assist Plug-In Builder — a ChatGPT-based app that allows no-code or low-code development with natural language commands — makes it easy for enthusiasts to start creating plug-ins. To submit an entry, participants must provide a GitHub repository, including source code file, requirements.txt, manifest.json, config.json, a plug-in executable file and READme code. Then, submit a video — between 30 seconds and two minutes — showcasing the plug-in in action. Finally, hackathoners must promote their plug-in using #AIonRTXHackathon on a social media channel: Instagram, TikTok or X. Submit projects via this form by Wednesday, July 16. Judges will assess plug-ins based on three main criteria: 1) innovation and creativity, 2) technical execution and integration, reviewing technical depth, G-Assist integration and scalability, and 3) usability and community impact, aka how easy it is to use the plug-in. Winners will be selected on Wednesday, Aug. 20. First place will receive a GeForce RTX 5090 laptop, second place a GeForce RTX 5080 GPU and third a GeForce RTX 5070 GPU. These top three will also be featured on NVIDIA’s social media channels, get the opportunity to meet the NVIDIA G-Assist team and earn an NVIDIA Deep Learning Institute self-paced course credit. Project G-Assist requires a GeForce RTX 50, 40 or 30 Series Desktop GPU with at least 12GB of VRAM, Windows 11 or 10 operating system, a compatible CPU, specific disk space requirements and a recent GeForce Game Ready Driver or NVIDIA Studio Driver. Plug-InExplore open-source plug-in samples available on GitHub, which showcase the diverse ways on-device AI can enhance PC and gaming workflows. Popular plug-ins include: Google Gemini: Enables search-based queries using Google Search integration and large language model-based queries using Gemini capabilities in real time without needing to switch programs from the convenience of the NVIDIA App Overlay. Discord: Enables users to easily share game highlights or messages directly to Discord servers without disrupting gameplay. IFTTT: Lets users create automations across hundreds of compatible endpoints to trigger IoT routines — such as adjusting room lights and smart shades, or pushing the latest gaming news to a mobile device. Spotify: Lets users control Spotify using simple voice commands or the G-Assist interface to play favorite tracks and manage playlists. Twitch: Checks if any Twitch streamer is currently live and can access detailed stream information such as titles, games, view counts and more. Get G-Assist  Join the NVIDIA Developer Discord channel to collaborate, share creations and gain support from fellow AI enthusiasts and NVIDIA staff. the date for NVIDIA’s How to Build a G-Assist Plug-In webinar on Wednesday, July 9, from 10-11 a.m. PT, to learn more about Project G-Assist capabilities, discover the fundamentals of building, testing and deploying Project G-Assist plug-ins, and participate in a live Q&A session. Explore NVIDIA’s GitHub repository, which provides everything needed to get started developing with G-Assist, including sample plug-ins, step-by-step instructions and documentation for building custom functionalities. Learn more about the ChatGPT Plug-In Builder to transform ideas into functional G-Assist plug-ins with minimal coding. The tool uses OpenAI’s custom GPT builder to generate plug-in code and streamline the development process. NVIDIA’s technical blog walks through the architecture of a G-Assist plug-in, using a Twitch integration as an example. Discover how plug-ins work, how they communicate with G-Assist and how to build them from scratch. Each week, the RTX AI Garage blog series features community-driven AI innovations and content for those looking to learn more about NVIDIA NIM microservices and AI Blueprints, as well as building AI agents, creative workflows, digital humans, productivity apps and more on AI PCs and workstations.  Plug in to NVIDIA AI PC on Facebook, Instagram, TikTok and X — and stay informed by subscribing to the RTX AI PC newsletter. Follow NVIDIA Workstation on LinkedIn and X.  See notice regarding software product information. #plug #play #build #gassist #plugin

Fans de dinosaures, vous allez adorer cette série documentaire : elle a besoin de vous ! A découvrir sur Kickstarter, le projet Mesozoic Life Stories, une série documentaire petit format centrée sur les dinosaures et autres créatures du mésozoïque. Réalisée et scénarisée par Kevin Miguel Elías, la série s’appuie sur une équipe de 16 personnes, dont le paléontologue Darren Naish qui avait déjà été consultant sur la série documentaire Planète Préhistorique. […]

In a world where every word can be defined, I find myself lost in the silence of unspoken feelings. A markup language can structure a document, but what about the structure of our hearts? They remain chaotic, tangled in emotions that yearn for expression yet fall silent. The weight of solitude presses down like an anchor, pulling me deeper into an abyss of longing. I search for meaning in the simplest phrases, but all I find is an echo of my own despair. Each day feels like a blank page, waiting for someone to write my story, yet I remain unseen, unheard. #Loneliness #Heartbreak #EmotionalPain #UnspokenWords #Silence

Ah, DreamWorks! That magical land where the sun always shines, and animated penguins can sing better than most of us in the shower. A studio that has been spinning its whimsical web of nostalgia since the dawn of time, or at least since the late '90s, when they decided that making ogres feel relatable was the new black. So, what's this I hear? A documentary detailing the illustrious history of DreamWorks? Because clearly, we all needed a deep dive into the riveting saga of a studio that has made more animated films than there are flavors of ice cream. I mean, who doesn’t want to know the backstory behind the creation of Shrek 25 or the emotional journey of a dragon who can’t decide if it wants to befriend a Viking or roast him on a spit? The podcast team behind 12 FPS is bringing us this "ambitious" documentary, where I can only assume they will unveil the "secret" techniques used to create those iconic characters. Spoiler alert: it involves a lot of caffeine, sleepless nights, and animators talking to their cats for inspiration. Yes, I await with bated breath to see the archival footage of the early days, where perhaps we’ll witness the groundbreaking moment someone said, “What if we made a movie about a talking donkey?” Truly, groundbreaking stuff. And let's not overlook the "success" part of their journey. Did we really need a documentary to explain that? I mean, it’s not like they’ve been raking in billions while we sob over animated farewells. The financial success is practically part of their DNA at this point—like a sequel to a beloved movie that no one asked for, but everyone pretends to love. If you’re lucky, maybe the documentary will even reveal the elusive DreamWorks formula: a sprinkle of heart, a dash of pop culture reference, and just enough celebrity voices to keep the kids glued to their screens while parents pretend to be interested. Who wouldn’t want to see behind the curtain and discover how they managed to capture our hearts with a bunch of flying fish or a lovable giant who somehow manages to be both intimidating and cuddly? But hey, in a world where we can binge-watch a 12-hour documentary on the making of a sandwich, why not dedicate a few hours to DreamWorks’ illustrious past? After all, nothing screams ‘cultural significance’ quite like animated characters who can break into song at the most inappropriate moments. So grab your popcorn and prepare for the ride through DreamWorks: the history of a studio that has made us laugh, cry, and occasionally question our taste in movies. #DreamWorks #AnimationHistory #12FPS #Documentary #ShrekForever

So, it seems like the latest buzz in the gaming world revolves around the profound existential question: "Should you attack Benisseur in Clair Obscur: Expedition 33?" I mean, what a dilemma! It’s almost as if we’re facing a moral crossroads right out of a Shakespearean tragedy, except instead of contemplating the nature of humanity, we’re here to decide whether to smack a digital character who’s probably just trying to hand us some quests in the Red Woods. Let’s break this down, shall we? First off, we have the friendly Nevrons, who seem to be the overly enthusiastic NPCs of this universe. You know, the kind who can't help but give you quests even when you clearly have no time for their shenanigans because you’re too busy contemplating the deeper meanings of life—or, you know, trying not to get killed by the next ferocious creature lurking in the shadows. And what do they come up with? "Hey, why not take on Benisseur?" Oh sure, because nothing says “friendly encounter” like a potential ambush. Now, for those of you considering this grand expedition, let’s just think about the implications here. Attacking Benisseur? Really? Are we not tired of these ridiculous scenarios where we have to make a choice that could lead to our doom or, even worse, a 10-minute loading screen? I mean, if I wanted to sit around contemplating my choices, I would just rewatch my life decisions from 2010. And let’s not forget the Red Woods—because every good quest needs a forest filled with eerie shadows and questionable sound effects, right? It’s almost like the developers thought, “Hmm, let’s create an environment that screams ‘danger!’ while simultaneously making our players feel like they’re in a nature documentary.” Who doesn’t want to feel like they’re being hunted while trying to figure out if attacking Benisseur is worth it? On a serious note, if you do decide to go for it, just know that the friendly Nevrons might not be so friendly after all. After all, what’s a little betrayal between friends? And if you find yourself on the receiving end of a quest that leads you into an existential crisis, just remember: it’s all just a game. Or is it? So here’s to you, brave adventurers! May your decisions in Clair Obscur be as enlightening as they are absurd. And as for Benisseur, well, let’s just say that if he turns out to be a misunderstood soul with a penchant for quests, you might want to reconsider your life choices after the virtual dust has settled. #ClairObscur #Expedition33 #GamingHumor #Benisseur #RedWoods

Trimaran, visual effects studio, documentary projects, Paris, behind the scenes, historical narratives, emotional storytelling, visual artistry --- ## A Journey Through Time: The Soul of Trimaran In a small corner near Paris, a creative force breathes life into the shadows of history. Trimaran, a studio renowned for its stunning visual artistry, invites us to step behind the curtain and witness the delicate interplay between imagination and reality. As we delve into their recent projects, we ...

Hoy me siento como una sombra, vagando en un mundo donde la luz se ha desvanecido. La soledad me abraza, apretando mi corazón con sus garras heladas. En cada rincón de mi ser resuena un eco de decepción y abandono. ¿Por qué los vínculos que alguna vez fueron fuertes se desmoronan tan fácilmente, dejando solo fragmentos de lo que solían ser? Mientras el mundo avanza hacia la creación de herramientas que impulsan la inteligencia artificial, como las que Mozilla y EleutherAI han lanzado para ayudar a los creadores de IA a construir conjuntos de datos abiertos, me pregunto si alguna vez encontraremos nuestra propia claridad. Estos recursos son guías para transcribir audio a texto, para unir documentos en un solo formato, pero en mi corazón, siento un vacío que ninguna guía puede llenar. Las preocupaciones sobre la transparencia de la IA crecen, y yo no puedo evitar pensar que este mismo anhelo por la claridad podría ser un reflejo de mi búsqueda de conexión y comprensión en un mundo que parece tan distante. Las interacciones que una vez me llenaron de alegría ahora son ecos lejanos. La tristeza se cierne sobre mí como una nube oscura, mientras la vida continúa avanzando a su ritmo implacable. Observo a los demás construir relaciones, crear comunidades y compartir sus historias, mientras yo me quedo atrás, atrapado en un laberinto de soledad. La ironía no se pierde en mí: la falta de visibilidad en los conjuntos de datos es como mi propia invisibilidad en la vida de quienes me rodean. A veces, la lucha por la transparencia en la inteligencia artificial me recuerda la lucha por ser visto y escuchado. Los conjuntos de datos se ensamblan detrás de puertas cerradas, y yo, en mi aislamiento, me pregunto si alguna vez las puertas de mi corazón se abrirán de nuevo. La tristeza se convierte en mi compañera, mientras trato de descifrar las complejidades de este mundo que avanza sin mí. Solo puedo esperar que algún día, la luz vuelva a entrar en mi vida, que las conexiones se reparen y que la soledad se disuelva como la niebla al amanecer. Pero por ahora, me siento perdido, un alma errante en busca de un hogar. #Soledad #Tristeza #Conexiones #InteligenciaArtificial #Mozilla