Discover how generative and agentic AI — powered by NVIDIA’s AI Factory, NeMo, and edge GPUs — is transforming vehicle design, manufacturing, and in-cabin agents.

Generative & Agentic AI for Automotive: NVIDIA’s AI Factory

Generative and Agentic AI: Driving the Future of Automotive Innovation

See how generative and agentic AI accelerate design, optimize supply chains, and deliver hyper-personalized in-cabin experiences—all built on NVIDIA’s AI platforms for safer, smarter mobility.

Explore PhysicsNeMo, NVIDIA's open-source AI-physics platform that fuses data and domain knowledge to build physics-aware surrogate models and enable near-real-time simulations.

PhysicsNeMo — NVIDIA's AI-Physics Platform for Real-Time Surrogates

NVIDIA AI-Physics Framework for Accelerating Computational Engineering with Emulation of AI

Accelerate scientific discovery and engineering innovation with NVIDIA PhysicsNeMo — an open-source AI-physics platform for building knowledge-guided surrogate models.

PhysicsNeMo enables fusing data + domain knowledge to develop scalable, near real-time AI simulations for complex multi-physics problems. From surrogate models that accelerate computational engineering applications by 4000x to 10000x faster AI weather forecasting, PhysicsNeMo empowers developers to build AI solutions with unprecedented speed.

👉Explore PhysicsNeMo and start building today: https://developer.nvidia.com/physicsnemo

#PhysicsNeMo #NVIDIA #AI #Simulation #Engineering

Discover how digital twins, large-scale simulation, and robotics are transforming the automotive lifecycle—real-world NVIDIA examples, physics‑infused CFD, AV validation, and practical next steps.

Transforming Automotive with Industrial AI: Digital Twins & Robotics

Industrial AI for Automotive: Digital Twins, Simulation, and Robotics

Discover how industrial AI and digital twins enable virtual factories—optimizing production, streamlining robotics, improving quality control, and reducing downtime with predictive AI Assistants.

A practical roadmap for safer self-driving cars — cloud-to-car platforms, simulation, synthetic data, foundation models, and in-vehicle compute for production-grade AVs.

Cloud-to-Car AI: Building Safer Autonomous Vehicles at Scale

From Cloud to Car: Driving the Future of Safer, AI-Defined Mobility

Learn how NVIDIA’s cloud-to-car platform is advancing safe autonomous driving with curated data, vision-language-action models, synthetic video generation, and validation tools that meet automotive-grade safety standards.

An investigative reconstruction of Gestapo chief Heinrich Müller's 1945 disappearance—examining Berlin's collapse, Cold War archives, and the unresolved questions of postwar justice.

The Vanishing of Heinrich Müller: An Investigative Reconstruction

Brutal Capture of Gestapo Leader: The Final Judgment of Heinrich Müller

V posledních dnech Třetí říše Heinrich Müller, absolutní šéf Gestapa, zmizel mezi troskami Berlína beze stopy. Byl přímo zodpovědný za deportace, mučení a popravy a byl považován za jednoho z nejnebezpečnějších mužů nacistického režimu. Jeho nepřítomnost v Norimberku vyvolala nejrůznější spekulace: zemřel v posledních bojích? Utekl pod falešnou identitou? Nebo byl chráněn některou z mocností uprostřed studené války? Jisté je, že se jeho postava stala jednou z největších poválečných záhad.

Po celá desetiletí po něm pátrala oficiální vyšetřování i lovci nacistů v Evropě, Jižní Americe a dokonce i v tajných archivech CIA a KGB. Exhumace v Berlíně, pověsti ze Švýcarska, údajná svědectví z Moskvy a výpovědi špionů posilovaly domněnku, že Müller mohl vyjednat své přežití tím, že poskytl cenné informace. Podle některých jej převzali Sověti, podle jiných se ukrýval pod ochranou Spojených států v jejich boji proti komunismu. Jeho mlčení, chráněné utajovanými dokumenty, jen posilovalo podezření.

Případ Heinricha Müllera symbolizuje nejasnou hranici mezi spravedlností a politickou výhodností v poválečném světě. Jeho neznámý osud a možnost, že byl využit jako špionážní nástroj, z něj činí nepohodlného ducha zosobňujícího beztrestnost. Brutální zajetí, k němuž nikdy nedošlo, a soud, kterému se nikdy nepostavil, připomínají, že během studené války mohla být pravda obětována ve jménu moci. Příběh šéfa Gestapa zůstává otevřenou záhadou, kde se kat proměnil ve stín.

Brutální zajetí vůdce Gestapa: Konečný soud s Heinrichem Müllerem

Behind the scenes with Eliza McNitt, Google DeepMind and a 200‑person team on ANCESTRA — a short film that blends live action with generative AI (Veo, Gemini) and premiered at Tribeca.

Inside ANCESTRA: Filmmaking with Generative AI and Cosmic Storytelling

Creative storytelling with AI: The making of Ancestra

In this episode of People of AI , we take you behind the scenes of "ANCESTRA," a groundbreaking film that integrates generative artificial intelligence into its core. Hear from the director Eliza McNitt and key collaborators from the Google DeepMind team about how they leveraged AI as a new creative tool, navigated its capabilities and limitations, and ultimately shaped a unique cinematic experience. Understand the future role of AI in filmmaking and its potential for developers and storytellers.

Chapters:
0:00 - Introduction to Ancestra: AI in filmmaking
3:38 - The Origin Story of ANCESTRA
5:35 - Google DeepMind and Primordial Soup collaboration
11:47 - Veo and the creative process
20:21 - Behind the scenes: Making the film
28:47 - Generating videos: Gemini and Veo tools
38:11 - AI as a creative tool, not a replacement
47:41 - AI's impact and the future of the film industry
53:51 - Generative models: A new kind of camera
57:46 - Rapid fire & conclusion

Resources:
Ancestra → https://goo.gle/4mVScNW 
Making of ANCESTRA → https://goo.gle/3JVJil1 
Veo 3 → https://goo.gle/4mWn3Kz 
Veo 3 Documentation → https://goo.gle/46qqFOV 
Veo 3 Cookbook → https://goo.gle/3VMVFSZ 
Google Flow → https://goo.gle/3VMVR4F 

Watch more People of AI → https://goo.gle/PAI 
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#PeopleofAI

Speaker: Christina Warren, Ashley Oldacre,  Eliza McNitt, Ben Wiley, Corey Matthewson, 
Products Mentioned: Google AI, Gemini, Veo 2, Veo 3

NVIDIA RTX Pro 6000 Blackwell and NIM microservices cut protein structure inference from months to minutes—accelerating drug discovery, agtech, and secure enterprise workflows.

NVIDIA Blackwell GPUs: Fast Protein Structure Inference for Drug Discovery

Accelerating Protein Structure Inference

Available now on CoreWeave and in Google Cloud’s G4 preview, you can launch an instance and fold your first protein in under 30 seconds.
- Launch on Google Cloud G4: https://cloud.google.com/blog/products/compute/introducing-g4-vm-with-nvidia-rtx-pro-6000
- Launch on CoreWeave: https://www.coreweave.com/products/gpu-compute#additional-gpu-skus
- Test drive NVIDIA NIM for biology: https://nvda.ws/4nkSCNE

The NVIDIA RTX Pro 6000 Blackwell Server Edition sets a new benchmark for protein structure AI, optimized for ISVs in drug discovery, agtech, and beyond. OpenFold2 inference runs up to 4.8× faster than L40S, with MSA-GPU steps ~2× faster, shrinking cloud bills per structure. Its 96 GB GDDR7 and 1.6 TB/s bandwidth remove GPU-memory bottlenecks, letting you fold larger complexes, batch alignments, and densify tenants per card without sacrificing QoS. Blackwell’s hardware TEE and remote attestation satisfy pharma security reviews without custom engineering. 

More information on NVIDIA RTX Pro 6000 Blackwell Server Edition: https://nvda.ws/4gpbNnl

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Subscribe to the NVIDIA AI Healthcare Newsletter: https://nvda.ws/4eS1F54

An inside look at Pushmeet Kohli’s vision for AI-driven science: AlphaEvolve, AlphaGenome, AlphaEarth, the team’s project filter, and what AI co‑scientists could mean for discovery.

How DeepMind’s Pushmeet Kohli Is Using AI to Tackle Science’s Biggest Problems

GDM’s Pushmeet Kohli on solving science's biggest challenges with AI

Pushmeet Kohli, Head of Science and Strategic Initiatives at Google DeepMind, joins host Logan Kilpatrick to explore the intersection of AI and scientific discovery. Learn how the team's unique problem-solving framework led to innovations like AlphaFold and AlphaEvolve, and how new tools like AI Co-scientist aim to democratize these types of breakthroughs for everyone.

0:00 - Intro 
1:04 - Recent Alpha launches 
02:15 - Framework for selecting research domains
06:21  - Scientific, commercial and social impact
15:00 - Wielding AGI for breakthroughs
16:48 - Tech transfer and team collaboration
19:46  -  IMO Gold Medal
21:42  - Evaluating math proofs
22:55 - From specialized models to Deep Think
24:22 -  Do math skills generalize?
25:53 - Generalizing the IMO model
27:43 - Democratizing AI science tools
30:09 - AI Co-scientist
35:17 - An API for science?

Resources: 
Listen to this podcast: 
Apple Podcasts → https://goo.gle/3Bm7QzQ 
Spotify → https://goo.gle/3ZL3ADl 

Watch more Release Notes → https://goo.gle/4njokfg
Subscribe to Google for Developers → https://goo.gle/developers 

Speaker: Logan Kilpatrick, Pushmeet Kohli
Products Mentioned:  Google AI, Gemini

Gerard Williams analyzes declassified files, forensic anomalies and eyewitness contradictions to reconstruct 'Operation Feuerland' and argue Hitler's death in Berlin may not be settled.

Hitler’s Death Reexamined: Evidence for an Escape to Argentina

They Lied to Us! The Truth They Hid About Hitler’s Death — Gerard Williams

V dubnu 1945 svět uvěřil, že nejtemnější kapitola dějin byla uzavřena sebevraždou Adolfa Hitlera v jeho bunkru v Berlíně. Avšak odtajněné dokumenty, svědectví a vyšetřování novináře Gerrarda Williamse zpochybňují tuto oficiální verzi. Kosterní pozůstatky připisované diktátorovi se ukázaly patřit ženě, neexistovali žádní spolehliví očití svědci a vůdci jako Stalin a Eisenhower veřejně přiznali, že neexistují přesvědčivé důkazy o jeho smrti. Možnost, že Hitler unikl do Jižní Ameriky, nabrala na síle uprostřed poválečného mlčení a rozporů.

Podle této hypotézy zorganizovala operace Feuerland útěk Führera do Argentiny s podporou nacistických sítí, kontaktů ve Španělsku a ponorek, které přepluly Atlantik. Williams dokumentuje svědectví z Patagonie, zprávy FBI a finanční pohyby, které naznačují existenci tajné infrastruktury vytvořené k zajištění jeho přežití. Přítomnost německých komunit v Bariloche a spoluúčast místních úřadů měly poskytnout Hitlerovi a Evě Braun bezpečné útočiště, kde mohli začít nový život daleko od Evropy.

Klíčová otázka nezní pouze, zda Hitler unikl, ale proč mu bylo umožněno zmizet. Uprostřed studené války pragmatismus spojenců upřednostnil nacistickou technologii a informace před spravedlností. Williamsovo bádání naznačuje, že mlčení bylo záměrné a že pravda o Hitlerově smrti může být zcela jiná, než jak nám byla vyprávěna. Tato záhada nutí znovu přehodnotit, jak se píší oficiální verze dějin a jaká tajemství zůstávají dosud skryta.

„LHÁLI NÁM! Podívej se na PRAVDU, kterou NÁM UKRYLI o SMRTI HITLERA“ | Gerrard Williams

Gen. Petraeus and Google’s Kent Walker explain how AI accelerates great‑power competition, reshapes cyber defense, and what the U.S. must do next—policy and practical priorities.

AI, Geopolitics & Digital Defense: Lessons from Gen. Petraeus and Kent Walker

What is the role of AI in enhancing digital defense? | Gen. David H. Petraeus & Google’s Kent Walker

Join Kent Walker, Google & Alphabet’s President of Global Affairs, in a wide-ranging conversation with General David H. Petraeus, former Commander of US Forces in Iraq & Afghanistan and former Director of the CIA. They explore the important intersection of technology and international security, examining how innovation is creating both new opportunities and complex challenges. 
#Geopolitics #Technology #NationalSecurity

00:00 - Introduction 
01:04 - Technological Advancements and Geopolitics 
02:10 - US Approach to Keeping Pace in Technology 
04:27 - Technology's Impact on the Balance of Power 
06:16 - Cybersecurity and Conflict 
08:12- Conclusion 

Watch more:  https://youtu.be/aGPzQDfKcIU?si=8jS01aOddWNp3I0F

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Keynote roadmap for next‑gen AI data centers: prioritizing inference, hardware/software co‑design, Rubin CPX GPUs, Vera Rubin racks and an AI Factory reference design.

Rethinking AI Infrastructure: Inference, Rubin GPUs & AI Factory

AI Infra Summit Keynote - Advancing Innovation in AI Infrastructure

AI is being adopted by every industry and new state-of-the-art techniques are accelerating performance to keep pace with unprecedented demand. In the AI Infra Summit Keynote from NVIDIA, Ian Buck, VP of Hyperscale and high-performance computing at NVIDIA, walks through the latest trends and how the infrastructure ecosystem can maximize efficiency at every level of the stack.

Anthropic’s Claude can now create and edit documents, spreadsheets, presentations, and PDFs—returning native-format files with context-aware edits to speed up workflows.

Claude Preview: Create & Edit Docs, Sheets, Slides

Preview: Claude Can Create and Edit Files — A Faster Way to Work with Documents, Spreadsheets, Presentations, and PDFs

Now Claude can create and work directly with your files, eliminating hours of manual busywork. This doesn't just save time; it brings Claude's analytical power straight into documents, spreadsheets, presentations, and PDFs.

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