Přehled role tokenů v AI: od tokenizace a Vera Rubin architektury přes agentické systémy až po nasazení v zemědělství a průmyslu (GTC 2026).

Tokeny: jak vzniká továrna na inteligenci — Vera Rubin, agenti a průmyslové nasazení

Tokeny, stavební kameny AI | Oficiální úvod GTC 2026

This is how intelligence is made. We are entering a new frontier where the AI factory generates tokens—the building blocks of modern intelligence. From autonomous AI agents to breakthroughs in robotics and healthcare, these tokens are reshaping our world. Explore how NVIDIA’s accelerated computing platform and the Vera Rubin architecture are forging new paths for global industry. Together, we take the next great leap into a bright future, built for all mankind. 

www.nvidia.com/gtc/keynote

#AgenticAI, #NVIDIAAI, #NVIDIAGTC

Tokens, the Building Blocks of AI | Official GTC 2026 Keynote Intro

Objevte, jak NVIDIA Omniverse DSX používá digitální dvojče, simulace a orchestrátor MaxQ k maximalizaci token-throughput, energetické efektivity a zisku v AI továrnách.

Omniverse DSX: Jak digital twin zvyšuje tokeny na watt v AI továrnách

Jak AI továrny maximalizují tokeny, energii a zisk s NVIDIA DSX

As global demand for AI infrastructure accelerates, NVIDIA Omniverse™ DSX provides a digital twin blueprint for designing, simulating, and operating AI factories at maximum efficiency. 

DSX helps developers optimize token throughput, resilience, and energy use across physical, electrical, thermal, and network systems. By connecting simulation tools, operational data, and dynamic power management through an open ecosystem of partners, DSX enables faster design, virtual commissioning, and intelligent live operations. 

Once deployed, AI agents and real-time orchestration continuously adapt infrastructure performance, turning every watt into higher compute output and revenue.

Read press release: https://nvidianews.nvidia.com/news/nvidia-releases-vera-rubin-dsx-ai-factory-reference-design-and-omniverse-dsx-digital-twin-blueprint-with-broad-industry-support
Try blueprint: https://build.nvidia.com/nvidia/omniverse-dsx-blueprint-for-ai-factories

How AI Factories Maximize Tokens, Power, and Profit With NVIDIA DSX

AI Grid: architektura pro orchestraci distribuovaných výpočtů blízko zdrojů dat. Nižší latence, úspora nákladů, lepší soukromí a škálovatelné Vision AI řešení.

AI Grid — Orchestrace edge AI pro nízkou latenci, efektivitu a škálování

AI Grid: Orchestrace inteligence napříč distribuovanými sítěmi

For AI to stay responsive and economical at scale, it needs to move closer to where data is created and intelligence is used. That’s where the AI grid comes in: connected, distributed sites operating as a unified, orchestrated computing platform.

With NVIDIA platforms, the network becomes a living AI grid, putting telcos and distributed cloud providers at the heart of how AI is experienced everywhere.

Learn more: https://www.nvidia.com/en-us/industries/telecommunications/ai-grid/

The AI Grid: Orchestrating Intelligence Across Distributed Networks

Jak McLaren kombinuje AI Physics, agentní AI, Rescale a NVIDIA k urychlení simulací, snížení zmetků v karbonových kompozitech a centralizaci dat.

Jak McLaren zrychluje vývoj vozů pomocí AI Physics, agentů a cloudu

Urychlení budoucnosti automobilového inženýrství: jak McLaren používá AI Physics, agentní AI, Rescale a NVIDIA

McLaren Automotive is redefining the limits of performance by integrating AI Physics and agentic AI into their design workflow. By leveraging the Rescale digital engineering platform powered by NVIDIA, McLaren has reduced simulation times from days to minutes.

In this video, McLaren Chief Programme Officer Christoph Meyer and CIO Alex Park and discuss how they are breaking down fragmented workflows to create a unified data loop. Discover how Rescale agents powered by NVIDIA are:
- Orchestrating Simulations: Automating pre and post-processing to free engineers for innovation.
- AI Physics Integration: Delivering real-time parametric optimization for complex carbon composite manufacturing.
- Data Liquidity: Making decades of engineering data searchable and reusable through cloud-native tools.

From the track to the lab, see how the partnership between McLaren, Rescale, and NVIDIA is fueling the next era of industrial digitalization.

Learn more about NVIDIA Industrial Engineering solutions: Computer-Aided Engineering (CAE) Solutions | NVIDIA

Explore Rescale’s Digital Engineering Platform: Rescale Expands Access to NVIDIA GPU-Accelerated Simulation Software and AI via NVIDIA's Cloud Partner Network - Rescale

#NVIDIA #McLaren #AIPhysics #DigitalTwin #AcceleratedComputing #IndustrialDigitalization #IndustrialEngineering

Accelerating the Future of Automotive Engineering

Přehled z OpenAI Podcastu: jak se trénují a hodnotí zdravotnické AI modely, role kliniků a HealthBench, a jak AI bezpečně zlepšuje péči pro pacienty i lékaře.

AI ve zdravotnictví: bezpečné modely, trénink a klinické přínosy

Budování AI pro lepší zdravotnictví — OpenAI Podcast Ep. 14

Healthcare systems around the world are under strain, and both patients and clinicians are feeling the impact. OpenAI's Head of Health Dr. Nate Gross and Karan Singhal, who leads Health AI Research, discuss how AI can help address the biggest challenges. They cover how OpenAI is training models to handle sensitive health questions in collaboration with physicians, and how that foundation is unlocking a new generation of tools for patients, clinicians, and healthcare systems.

Chapters:
00:00:38 – Origins of Nate and Karan’s interest in AI and healthcare
00:05:01 – Strategy for building AI tools for clinicians
00:06:57 – How AI models are trained for health use cases
00:10:15 – How OpenAI is able to score well on health evals
00:14:21 – Key challenges deploying AI in healthcare
00:21:05 – Collaboration with hospitals and healthcare systems
00:23:05 – Practical everyday uses of AI health assistants
00:26:43 – Biggest “wow” moment during development
00:28:46 – Feedback from clinicians and early users

Building AI for better healthcare — the OpenAI Podcast Ep. 14

Nová beta funkce Skills pro ChatGPT Business a Enterprise: opakovatelné workflowy, integrace s kódem a API, automatické použití v konverzacích a doporučené postupy pro bezpečnost a governance.

Jak Skills v betě mění ChatGPT pro firmy — přehled a výhody

Funkce Skills v betě pro ChatGPT Business a Enterprise

We’re introducing Skills in beta for ChatGPT Business and Enterprise.

Skills are reusable, shareable workflows that tell ChatGPT exactly how to do a specific task, enabling ChatGPT to do that task better and more consistently. A skill can bundle instructions, examples, and even code. Once a skill has been created and installed, ChatGPT can automatically use a skill (or multiple skills) when it’s helpful.

A skill can include instructions and supporting resources you want ChatGPT to use whenever you ask it to do a specific task. And for more structured work, skills can include a set of steps that run the same way every time.

Skills are available in beta in ChatGPT Business and Enterprise. Skills are also supported in Codex and the API. While they don’t sync across products yet, OpenAI skills follow the Agent Skills open standard—so you can download them from one product and install them in another.

ChatGPT skills in beta for ChatGPT Business & Enterprise

Analýza GTC pregame: proč krátké představení před keynote nastavuje narativy o AI, jak AI může generovat obrovskou ekonomickou hodnotu a jak regulace a geopolitika změní trhy.

GTC Pregame: Jak předzápas formuje budoucnost AI, regulací a byznysu

NVIDIA GTC Live Keynote Pregame: Super Bowl technologické transformace

As we gear up for what’s next, we’re rolling the highlights. Relive the biggest moments, boldest takes, and behind-the‑scenes energy that made NVIDIA GTC Live pregames a fan favorite.

Stay tuned for the 2026 line-up on: hhttps://nvda.ws/3MI8Ljw

🗓️ Monday, March 16 | 8 a.m.–11 a.m. PDT

#NVIDIAGTC

NVIDIA GTC Live Keynote Pregame Teaser

Google otevřel Platform 37 v King's Cross: The AI Exchange — veřejné i výzkumné centrum spojující vývoj AI, vzdělávání a komunitu, inspirované tahem Move 37.

Platform 37 v King's Cross — Google otevírá The AI Exchange

Platform 37: Google otevírá nové centrum pro inovace v oblasti umělé inteligence v Londýně

Today, we’re unveiling the name of Google’s landmark King’s Cross building in London, Platform 37, and plans for The AI Exchange, a new public space dedicated to deepening understanding of artificial intelligence.

The name is a nod to the building’s location next to Kings Cross station—and to ‘Move 37’, a pivotal play made by DeepMind’s AI system AlphaGo in a now legendary 2016 match against Go world champion Lee Sae Dol. Go is incredibly complex, with more possible board configurations than the number of atoms in the known universe, and has long been a proving ground for AI research. 

Platform 37 is Google’s most ambitious and innovative building to date. Learn more: https://blog.google/company-news/inside-google/around-the-globe/google-europe/united-kingdom/platform-37-the-ai-exchange/

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Platform 37: Google’s New AI Innovation Space in London

Zjistěte, jak Rakuten integroval OpenAI Codex do monitoringu a CI/CD, zkrátil MTTR až o 50 % a zrychlil nasazení. Praktické workflowy a lessons learned.

Jak Rakuten zkrátil MTTR o 50 % nasazením Codexu — případová studie

Rakuten opravuje problémy dvakrát rychleji díky Codexu

Rakuten operates one of the world’s largest digital ecosystems across e-commerce, fintech, and mobile services. Shipping fast without sacrificing reliability is critical.

Teams use OpenAI Codex to support incident response, code review, and development workflows. The agent works inside monitoring systems and CI/CD pipelines to diagnose issues, review changes against internal standards, and advance projects from partial specifications.

The result is faster recovery and faster shipping. Rakuten reports up to a 50% reduction in mean time to recovery, and projects that once took a quarter can now ship in weeks.

As Codex handles more generation, engineers focus on clearer specifications and rigorous verification. The shift helps teams move quickly while keeping safety built into every release.

Learn more: https://openai.com/index/rakuten/

Rakuten fixes issues twice as fast with Codex

AIMS ukazuje, že AI jako „druhý čtenář“ v mamografii může snížit zátěž radiologů, zkrátit čekání pacientek a zachovat kvalitu detekce.

Jak AI zrychluje mamografický screening a snižuje zátěž radiologů

Pomoc radiologům při odhalování rakoviny prsu pomocí AI

Breast cancer affects 1 in 8 women worldwide, and in the UK, a shortage of radiologists puts immense pressure on staff in radiology departments to deal with the backlog of people waiting for scans. To help reduce the burden on resources and staff, new ways of screening need to be investigated. 

Google partnered with Imperial College London and three NHS trusts on the Artificial Intelligence in Mammography Screening (AIMS) study to explore how an AI reader, integrated in place of a second human reader in the UK’s existing two reader plus arbitration system, performs in a real-world setting.

Results of the AIMS study, recently published in “Nature Cancer,” showed that an AI reader could successfully integrate in to the UK’s existing system in place of a human reader, reducing the overall workload of radiologists and allowing them to focus their time and care on patients who needed it the most. 

Note: The patients featured in this video did not participate in the study and are sharing their personal experiences with the mammography process. They were compensated for their time.

To learn more about the AIMS study, visit https://www.nature.com/articles/s43018-026-01128-z   

To learn more about how AI can improve breast cancer detection in the UK, check out The Keyword: https://blog.google/innovation-and-ai/technology/health/google-ai-breast-cancer-detection/

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Helping Radiologists Detect Breast Cancer with AI

Jak Codex desktop, GPT‑5.4 a nová API primitiva (hosted shell, code mode, WebSocket) umožní delegaci úloh agentům a jak Agent Legibility Score zlepší čitelnost repozitářů.

Připravte repozitář a tým pro agenty — Codex, API a Agent Legibility Score

Build Hour: API & Codex — jak připravit kód a tým pro agentní delegaci

Build agent-powered workflows for real engineering work with Codex and OpenAI APIs. In this Build Hour, you'll learn how teams are moving beyond pair programming to agentic delegation, where AI systems can take on entire engineering tasks from planning to execution. 

Charlie Guo (DevEx), Ryan Lopopolo (Future of Work), Mitch Troyanovsky (Cofounder, Basis) cover how to:
• Ship new features faster using Codex, with real examples from Basis: https://www.getbasis.ai/
• Build agent-driven systems using new API capabilities like hosted shell, skills, and websockets
• Evaluate and improve agents using the Agent Legibility Score framework
• Apply Harness Engineering techniques to make agent workflows reliable in production
• Use GPT-5.4 for large-context reasoning, computer-use tasks, and tool-based agent workflows
• Reduce manual overhead by turning complex logic into reusable agent-driven flows

👉 Codex docs: https://developers.openai.com/codex
👉 API docs: https://developers.openai.com/api/docs
👉 Harness Engineering Blog: https://openai.com/index/harness-engineering/ 
👉 GPT-5.4 Blog: https://openai.com/index/introducing-gpt-5-4/ 
👉 Follow along with the code repo: http://github.com/openai/build-hours
👉 Sign up for upcoming live Build Hours: https://webinar.openai.com/buildhours

00:00 Introduction
01:58 What's New: Codex
05:01 What's New: API
08:33 Demo: Agent Legibility Score
21:53 Harness Engineering
32:32 Customer Spotlight: Basis
47:57 Q&A

Build Hour: API & Codex

Příběh Dr. Marian Croak: od dětské zvědavosti k Bell Labs a Google. Jak její VoIP a text-to-donate proměnily komunikaci, humanitární pomoc a vedení.

Marian Croak — průkopnice VoIP, sms-darování a lidsky orientované inovace

Shaping the Limitless Possibilities of Dr. Marian Croak

The Art of Possible is a documentary tracing the legacy of Dr. Marian Croak, a pioneer whose career was shaped by family, colleagues, mentors, and collaborators. These formative relationships and moments drove her innovation forward, establishing Dr. Croak as the crucial link between foundational technology and the future of responsible AI. She pioneered Voice over Internet Protocol (VoIP)—the technology powering every internet call today—holds over 200 patents, and invented critical applications like text-to-donate technology. Now, as VP of Responsible AI at Google, she continues to ensure that advanced research is built on ethical foundations for the benefit of humanity. Join us as we celebrate Dr. Croak.

0:52 – A Foundation of Curiosity
3:09 – Innovating for Social Good
6:45 – Mentorship and the Next Generation

A Creative Theory Agency Production

Directed by
Trivell Miller

Produced by
Alexandra César

Executive Producer
Rachael Hardy

Creative Producer
Ciara Montgomery

Producer
Hannah Strickland

Director of Photography
Othello Banaci

Production Manager
Jose Brown

Associate Producer
Ashlee Green

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