Discover how NVIDIA’s full‑stack platform—CUDA, domain libraries, and NIM‑packaged models like OpenFold3—accelerates open models, protein design, and GPU‑powered healthcare workflows.

NVIDIA’s Full‑Stack AI for Healthcare — NIMs, OpenFold3 & Biodesign

NVIDIA GTC DC 2025: Healthcare Special Address — Rewriting Medicine with AI, Agents, and Physical AI

Healthcare is on the edge of a historic reinvention. The fusion of advanced AI, intelligent digital agents, and physical AI isn't just upgrading the healthcare technology stack—it's rewriting it. This new era is enabling new ways of decoding disease, collapsing the timelines of drug discovery, and unleashing digital health agents that extend care beyond the walls of clinics and hospitals. At the frontier, physical AI is powering self-driving labs, robotic-enabled drug manufacturing, and surgical robotics that learn, adapt, and improve in real time. Collectively, these breakthroughs signal the rise of an intelligent, seamlessly integrated healthcare ecosystem poised to deliver accelerated innovation, unprecedented access, and a more resilient, sustainable healthcare industry for the United States and the world.

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X: https://nvda.ws/4hi2sxB
LinkedIn: https://nvda.ws/4eSlE3B
Subscribe to the NVIDIA AI Healthcare Newsletter: https://nvda.ws/4eS1F54

0:00 - GTC DC 2025 Speakers
2:25 - NVIDIA's Full Stack Computing Platform 
4:38 - NVIDIA Healthcare Libraries and Products 
6:17 - Roche DNA Sequencing World Record with Parabricks
7:26 - AI's Progress in Biology
9:58 - Announcing OpenFold3 NIM: Computational Protein Structure Prediction
11:12 - NVIDIA Open Models, Data, Libraries, Top Leaderboards
12:47 - Announcing NVIDIA Clara Open Source Models for Biomolecular Design
14:01 - Researchers Building on NVIDIA Clara Open Source Models
17:17 - Announcing Lilly and NVIDIA Build BioPharma's Most Powerful AI Factory
20:08 - Announcing CZI and NVIDIA Accelerate Virtual Cell Model Development
22:01 - The Healthcare Industry is Leading AI Adoption
23:13 - Agentic AI for Digital Health Care Agents
29:23 - Announcing Verily and NVIDIA Accelerate Precision Health AI
31:16 - The Digital Health Ecosystem
32:00 - Physical AI and Healthcare Robotics
32:38 - Announcing NVIDIA IGX Thor
33:40 - Announcing Diligent Moxi 2.0 Adopts NVIDIA IGX Thor
34:24 - NVIDIA Isaac for Healthcare and Healthcare Robotics 
37:19 - Johnson and Johnson Builds Medical Robots on NVIDIA
38:34 - Announcing NVIDIA Clara Open Source Models for Multimodal Medical AI
39:52 - Companies Building with NVIDIA Clara Open Source Models
41:02 - Summary: Digital Health, Drug Discovery, Medical Devices

NVIDIA GTC DC 2025: Healthcare Special Address

Hands-on intro to ADK Go and Go 80K for Go developers. Learn to define agents, manage sessions, use an event-driven runner, and inspect runs with the Web UI.

Build Reliable AI Agents in Go with ADK Go

Building AI Agents with ADK Go: A Practical Guide

Introducing the  Agent Development Kit (ADK) Go! This new toolkit is officially here, designed for Go developers ready to build powerful generative AI applications.

Get started with our hands-on tutorial, where we'll guide you through building your very first intelligent Go agent. You'll learn the core concepts and see how the ADK Go streamlines the development of sophisticated AI solutions natively in Go.

Resources:
Google for Developers → https://goo.gle/developers
ADK documentation → https://google.github.io/adk-docs
Sample agents → https://github.com/google/adk-samples
ADK Go source code → https://github.com/google/adk-go

Chapters: 
0:00 - Introducing the Go ADK
0:53 - Build your first Go agent
1:49 - Run your agent
2:23 - Understanding Tools
3:28 - Run your agent with tools
5:00 - Multi-agent patterns in Go
7:58 - State, Sessions, and Events 

Subscribe to Google for Developers → https://goo.gle/developers 


Speaker: Ivan Cheung 
Products Mentioned: Agent Development Kit (ADK)

Building AI Agents with ADK Go

Canva’s two-step plan: build a durable, valuable company and then deploy that scale to do the most good — $1.5B in product donations, 800k nonprofits, 12M trees, $100M to GiveDirectly.

Canva’s Two-Step Strategy: Build Value, Scale Good

Canva's Two-Step Plan: Build a Leading Company, Do the Most Good

Canva has always been guided by a simple but ambitious Two-Step Plan:

1. Build one of the world’s most valuable companies.
2. Do the most good we can.This vision has shaped everything we do — from making design accessible to all, to creating meaningful global impact.

Our impact so far:

- $1.5B+ in product value donated to students, teachers, and nonprofits.
- 800,000 nonprofit teams using Canva Pro for free to amplify their missions.
- 12 million trees planted through our One Print, One Tree program.
- $100M committed to GiveDirectly, supporting 185,000 people living in extreme poverty through direct cash transfers.

But this is only the beginning. We believe in the power of imagination — and in imagining not just better tools, but a better world. A world where everyone’s basic needs are met. A world where global goals reflect the hopes of real people, not just policymakers.

That’s why we’re asking: What’s one goal you hope to see achieved in your lifetime?

Share your vision at goalsplatform.org and join a global movement united by hope, action, and imagination.

Canva's Two-Step Plan

Deutsche Telekom, NVIDIA and SAP will deploy 10,000 Blackwell GPUs in Munich to deliver a sovereign, enterprise-grade Industrial AI Cloud scheduled for Q1 2026.

Germany's Industrial AI Cloud — Deutsche Telekom, NVIDIA & SAP

Deutsche Telekom and NVIDIA Launch Industrial AI Cloud: A New Era for Germany's Industry

Germany’s digital future gets a major boost as Deutsche Telekom and NVIDIA unveil the world’s first Industrial AI Cloud, a sovereign, enterprise-grade platform. The partnership will accelerate AI innovation, strengthen European data sovereignty, and drive transformation across industries. Featuring insights from Deutsche Telekom Tim Höttges and NVIDIA founder and CEO Jensen Huang. 

Learn more:  https://www.t-systems.com/de/en/artificial-intelligence/solutions/industrial-ai-cloud

Deutsche Telekom and NVIDIA Launch Industrial AI Cloud

A Stanford/NVIDIA researcher explains why Level 4 autonomy is within reach — from foundation models and multimodal learning to simulation, safety architecture, and real-world validation.

Building Safe Level 4 Autonomy: Foundation Models, AI & Systems Design

The Path to Level 4 Autonomy

What is level 4 autonomous driving? And how did we get here?

Marco Pavone — NVIDIA Director of Autonomous Vehicle Research and Professor at Stanford University — explains the AI breakthroughs that have made L4 autonomy possible and the full stack system that ensures autonomous vehicle safety. 

Learn more in Marco’s blog on how AI is unlocking level 4 autonomous driving: https://blogs.nvidia.com/blog/level-4-autonomous-driving-ai/

#Level4Autonomy #autonomousvehicles

Discover how specialized AI agent teams—powered by NVIDIA NeMo and Nemotron—detect, investigate, and mitigate cyber threats in milliseconds using threat intelligence and retrieval-augmented reasoning.

Machine-Speed AI Agent Teams for Real-Time Cyber Defense

Specialized AI Agent Response Teams Defend Against Cyber Threats

Cyber adversaries operate at machine speed, striking in milliseconds with relentless precision across the trillions of events that occur weekly. With CrowdStrike's threat intelligence reinforced with NVIDIA AI, reactive analysis is turned into proactive command. NVIDIA NeMo learns from elite threat expertise and scales its knowledge with Nemotron models, creating #AIagents with analyst-level reasoning. Deployed on CrowdStrike's Falcon platform, these agents investigate, learn, and neutralize threats in real-time, eliminating hours of manual work. 

Learn how security analysts use specialized agent teams that defend at the speed and scale modern threats demand here: https://nvidia.com/gtc/dc/keynote

#NVIDIAGTC

Learn how to turn one-line ideas into AI-powered mini-apps using Opal's no-code visual editor, generative models, and Google Docs/Drive integrations. Includes examples, tips, and best practices.

Build No-Code AI Mini-Apps Fast with Opal — A Practical Guide

How to get started on Opal

Megan Li  - Senior PM @ Google Labs - walks through a tutorial of Opal's visual editor. Learn how to create a new AI workflow or mini-app using natural language and a visual app builder. 

Subscribe to Google for Developers → https://goo.gle/developers 

Speaker: Megan Li 
Products Mentioned: Gemini

A surreal late-night visit from Lewis Hamilton turns into practical tuning advice — tire pressure, fuel/TPS basics and terrain prep (yes, drop 2 psi in subtropical highlands).

When Lewis Hamilton Walked into My Garage — Real Tuning Tips

The Garage featuring Lewis Hamilton & Eric André

Perplexity helps you know it all, whether you’re a world champ fine tuning a high performance machine or… looking up soil content in South America to impress your neighbor. 

https://www.perplexity.ai/

"The Garage" featuring Lewis Hamilton & Eric André

Discover Pomelli: a strategist-first marketing tool that analyzes your website to build brand DNA, craft coherent campaigns, and help small businesses scale without a full marketing team.

Pomelli — The Marketing Strategist Built for Small Businesses

Pomelli Product Walkthrough | Google Labs

Introducing Pomelli, our latest experiment from Google Labs. Pomelli is an AI marketing tool that helps you easily generate scalable, on-brand content to connect with your audience faster.  #GoogleLabs #AI 

Watch our PM, Daniel, demonstrate how it works. 

Learn More → https://blog.google/technology/google-labs/pomelli/
Try Pomelli → https://labs.google.com/pomelli/about/

Speaker: Daniel Adonai
Products Mentioned: Pomelli

Subscribe to our Channel: https://www.youtube.com/google
Find us on X: https://twitter.com/google
Watch us on TikTok: https://tiktok.com/@google
Follow us on Instagram: https://www.instagram.com/google
Join us on Facebook: https://www.facebook.com/Google

What if AI becomes the 'new electricity'? Experts examine how AI could transform productivity, jobs, inflation and policy — and what governments and firms must do next.

AI as the New Electricity — Economic Opportunities, Productivity & Labor Risks

How could AI impact the global economy? | Michael Spence, Mohamed El-Erian, & James Manyika

Google’s Senior Vice President of Research, Labs, Technology & Society James Manyika sits down with Nobel laureate in Economics, Michael Spence and President of Queens' College at Cambridge, Mohamed El-Erian, for a discussion about the economic implications of artificial intelligence. #Technology #AI 

00:18 - AI's Potential for the Economy
01:56 - AI's Impact on Work and Skills
03:21 - Lessons from Past Disruptions
04:24 - Macroeconomic Optimism for Growth and Debt

Watch more:https://www.youtube.com/watch?v=S-De1TvTw4o&list=PL590L5WQmH8f8ID51T0_9JkWpeL9Dcb-S

Subscribe to our Channel: https://www.youtube.com/google
Find us on X: https://twitter.com/google
Watch us on TikTok: https://tiktok.com/@google
Follow us on Instagram: https://www.instagram.com/google
Join us on Facebook: https://www.facebook.com/Google

Discover how OpenAI Codex automates pull request reviews with repository awareness, test execution, and customizable agents. Learn setup, local CLI reviews, and best practices.

Automate Code Reviews with OpenAI Codex — Setup, Workflows & Best Practices

Automatic code reviews with OpenAI Codex

Maja Trębacz and Romain Huet show you how to set up Codex to automatically review new pull requests in GitHub and in the Codex CLI, and discuss the research approach we used to train our models to generate quality code reviews.

Timestamps:

00:00 Intro
01:23 Automatic code review in GitHub
02:34 Codex code review vs static analysis
03:31 Training models for high-signal code reviews
04:18 How OpenAI uses Codex code review
05:57 Customizing code review with AGENTS.md
06:58 Code reviews in the Codex CLI


Try it yourself:
Code review: http://chatgpt.com/codex/code-review 

Learn more:
Codex: openai.com/codex
Developer docs: https://developers.openai.com/codex/cloud/code-review

How SimReady digital twins and agentic AI enable real‑time simulation, synthetic data, and autonomous agents to optimize traffic, energy, and public safety in cities.

SimReady Digital Twins & Agentic AI for Smarter Cities

Building Smart Cities With Digital Twins and Agentic AI

#SmartCity
#Digitaltwin
#AgenticAI

Digital twins and AI agents for cities enable planning, scenario analysis, and
operational monitoring and optimization of urban systems—leading to smarter infrastructure design, accelerated decision-making, and real-time operational management. The NVIDIA Blueprint for Smart City AI enables developers with the complete software stack to develop SimReady digital twins and AI agents for cities.

#VLM
#Syntheticdatageneration
#visionai
#computervision
#NVIDIAMetropolis
#NVIDIAOmniverse
#NVIDIACosmos
#visualaiagent 

Read the blog: NVIDIA Partners Bring Physical AI, New Smart City Technologies to Dublin, Ho Chi Minh City, Raleigh and More  https://nvda.ws/4hDAygg
Learn more about smart cities:  https://nvda.ws/47EbQrr

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