Discover Metrax, a JAX-native, high-performance metrics library: jittable, vectorized evaluation for classification, ranking@K, NLP, speech, and vision.

Metrax — JAX-Native Evaluation Metrics for Fast, Scalable ML

Introduction to Metrax: Evaluation metrics for JAX

Metrax is a JAX-native, high-performance, open-source evaluation metrics library developed by Google. Metrax offers standard evaluation metric implementations using JAX, allowing you to focus on your model and training. 

Resources: 

Documentation → https://goo.gle/3LFkZIR 
GitHub repo → https://goo.gle/3WMu05o 
Example notebook → https://goo.gle/3JYO0yN 

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

Speaker: Yufeng Guo 
Products Mentioned: Google AI

Discover Canva for Education's major update: AI-generated lessons, interactive Code widgets that auto-log student data, embeddable Forms, live progress tracking and streamlined LMS workflows.

Canva for Education: AI Activities, Code Widgets & Classroom Workflow

What's new in Canva Education: Canva World Tour Edition

Bring fresh energy to your classroom with the latest features from Canva for Education 🌍
Join Leena, our passionate product educator from Canva’s Design School, for this special Canva World Tour edition of our What's New webinar. Get a first look at powerful updates that simplify your workflow, enhance student engagement, and put AI to work for you.

🔍 What you’ll learn:

⏵ Smart AI tools for teaching See Canva Code 2.0, Magic Activities, Canva Forms, and Magic Video—all designed to save you time and boost learning
⏵ Live demos and classroom examples Build matching games, vocabulary activities, video reflections, digital worksheets, and more
⏵ Assign, track, and review student work Streamline progress tracking in Canva or Google Classroom with real-time feedback and data collection
⏵ New teacher resources Tour Design School, explore free courses like Engage Students with Canva, and earn shareable certifications

🎓 Perfect for K12 teachers, tech coaches, and school leaders who want to bring creativity, clarity, and confidence to their classroom workflows

🔗 Access the full resource handbook here https://canva.me/wnw-edu-nov

📚 Explore more:
📝Design School for Teachers https://www.canva.com/design-school
📝 Engage students in Canva Certification course: https://www.canva.com/design-school/courses/engaging-students-with-canva
📝 Canva for Education Community https://www.canva.com/community/teachers
📝 Watch more webinars https://bit.ly/44nOMg4

About Canva:
Canva is the world’s most inclusive visual communication platform that lets anyone design anything and publish anywhere. With over 615000 templates available in more than 100 languages, Canva helps unlock creativity across every classroom, team, and industry

About Canva Education:
Empower your entire school system with Canva for Education, 100 percent free for K12 teachers, students, and staff. From lesson planning and student projects to schoolwide newsletters, it’s everything you need in one simple platform

🔗 Get started with Canva for Education https://www.canva.com/education


00:00 Welcome  
01:45 Meet Your Host  
03:00 What is Canva for Education  
05:05 Why Canva is Free  
06:30 Today’s Agenda  
07:15 Canva Code 2.0  
13:00 New Forms  
17:30 Magic Activities  
23:50 Video 2.0  
29:35 Magic Video  
32:10 Canva AI Tools  
35:40 3D Elements  
38:00 Canva Emails  
41:00 Assign in Canva  
46:00 Google Classroom  
50:00 Reviewing Work  
54:00 New Courses  
56:30 World Tour Hub  
58:00 Helpful Resources  
59:30 Q&A + Wrap-Up

A marshal-by-marshal account of what happened to Germany's top military leaders after 1945 — from Manstein's trial and release to Model's suicide and Cold War rehabilitation.

Fates of Germany's Top Marshals After WWII — Trials, Suicide & Reinvention

What Happened to the Most Important German Marshals After World War II?

Když v roce 1945 padla Třetí říše, Hitlerovi maršálové — symboly německé moci a vojenské slávy — čelili svému vlastnímu poslednímu soudu. Někteří, jako Wilhelm Keitel a Alfred Jodl, byli oběšeni v Norimberku; jiní, jako Model, zvolili sebevraždu místo kapitulace. Mezitím stratégové jako Erich von Manstein a Albert Kesselring byli souzeni, odsouzeni a později během studené války propuštěni, čímž se stali kontroverzními postavami — obdivovanými i odsuzovanými zároveň. Pád maršálů odrážel úplný kolaps Říše: od bohů bitevního pole k mužům poraženým dějinami.

Každý jejich osud odhalil jinou tvář německého zhroucení. Von Kleist a Von Leeb pomalu umírali v sovětských věznicích; Schörner, „železný fanatik“, skončil na útěku, převlečený a zapomenutý; Rundstedt zemřel tiše, starý a unavený — symbol pruské aristokracie, která ztratila svůj svět. U soudů byly odhaleny válečné zločiny: deportace, odvety, popravy a slepá poslušnost, která ospravedlňovala hrůzu. Nikdo neunikl soudu dějin, i když jen málokdo zaplatil skutečnou spravedlností.

V následujících desetiletích se jejich jména proměnila v nejednoznačné mýty — pro některé byli taktičtí géniové, pro jiné váleční zločinci. Jejich paměti se pokoušely očistit jejich obraz, zobrazovat je jako profesionální vojáky chycené v politické válce. Důkazy, svědectví a masové hroby však vyprávěly jiný příběh — příběh mužů, kteří sloužili režimu vyhlazování ve jménu povinnosti. Osud německých maršálů se stal také epitafem Třetí říše: směsí vojenské velikosti, morálního úpadku a věčné otázky o hranicích poslušnosti a odpovědnosti.

Co se stalo s nejdůležitějšími německými maršály po druhé světové válce?

A one-day experiment where engineers with an AI assistant (Claude) got a robot dog to fetch — cutting setup time, generating controllers, and lowering barriers to robotics.

Project Fetch — AI Helps Non‑Experts Program a Robot Dog

Can AI Program a Robot Dog?

We asked two teams of Anthropic researchers to program a robot dog. Neither team had any robotics expertise—but we let only one team use Claude.

In the past, we’ve run simulated studies where Claude trained a robot dog. These helped us assess how Claude might contribute to AI research and development. Project Fetch was us trying something similar in practice.

This project suggests that we’re not far from a world where frontier AI models can interact with previously-unknown pieces of hardware, even with non-experts at the helm.

For more, read on: https://www.anthropic.com/research/project-fetch-robot-dog 

0:00 Introduction: Why robotics?
0:30 The experiment
1:02 Phase 1: Fetch, manually
1:51 Phase 2: Fetch, programmatically
5:08 Phase 3: Fetch, autonomously
6:24 Results

Can AI program a robot dog?

A conversation with Father Paolo Benanti on how AI reshapes meaning, dialogue, and human flourishing — practical insights for ethics, art, and society.

When Machines Mirror Us: What AI Reveals About Humanity — A Conversation with Father Paolo Benanti

What Can AI Teach Us About Humanity?

Google’s Senior Vice President of Research, Labs, Technology & Society James Manyika sits down with Father Paolo Benanti, a leading expert on AI, ethics, and technology, and professor at the Pontifical Gregorian University at the Vatican, for a discussion about the intersection of artificial intelligence and humanity. #Technology #AI 

00:23 What does AI mean for humanity?
01:41 Human flourishing in the AI era
03:04 The most important ethical issues for AI
04:43 How Father Benanti uses AI
07:01 The "Why" behind AI at Google

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

What can AI teach us about humanity? | Father Paolo Benanti & Google’s James Manyika

Ashley Kramer on how OpenAI turns research into repeatable enterprise value — start small, measure outcomes, leverage ChatGPT/APIs, and scale via real customer workflows.

OpenAI’s Research-to-Revenue Playbook — Lessons from Ashley Kramer

Inside OpenAI’s Research-Led Growth with OpenAI Head of Revenue Ashley Kramer

OpenAI Head of Revenue Ashley Kramer joins Cam Adams to discuss how her revenue team is using AI to get ahead. She unpacks how her team bridges research and real-world results, turning powerful models into tools that transform how people work. Ashley also explains how the most boring AI use cases can spark the most valuable“aha” moments, and how OpenAI customers are scaling AI adoption from the top down.


Cam’s notes on Substack: promptedwithcam.substack.com

A behind‑the‑scenes look at how Lowe’s used AI, computer vision, digital twins, and edge‑first design to connect customer journeys, empower associates, and accelerate retail innovation.

Inside Lowe’s AI Transformation: Computer Vision, Edge Processing & Smarter Stores

A Look Inside: How Lowe’s Leveraged AI to Become an Agile Digital Retailer

Lowe’s is using AI and digital twins to reimagine how customers shop, how associates sell, and how teams work behind the scenes. Discover how they’re using NVIDIA technologies to create smarter stores, boost productivity, and deliver better customer experiences.

Hear from Seemantini Godbole, EVP, Chief Digital and Information Officer, Lowe’s.

Explore how OpenUSD and NVIDIA Omniverse can unlock innovation across your enterprise: https://www.nvidia.com/en-us/omniverse/usd/

#retail #DigitalTwins #AI

Practical, technical guide to Agent RFT — reinforcement fine-tuning that trains models to call real tools during rollouts. Learn the training loop, grader design, best practices, and production outcomes.

Agent RFT: Reinforcement Fine-Tuning Guide for Tool-Using Agents

Build Hour: Agent RFT

Agent RFT enables reasoning models to become even more powerful, tool-using agents by training directly on the workflows they will execute in production. By operating on agent rollouts, reasoning models can call tools, generate intermediate reasoning steps, and receive real-time feedback via customer-provided endpoints. This Build Hour will walk through the preparation, infrastructure, and safety oversight to use Agentic RFT. 

Theophile Sautory (Applied AI) and William Hang (API Engineering) cover:

• Improving agent performance with optimization and fine-tuning options
• Key differences between Base RFT and Agentic RFT
• New additions and how Agent RFT works
• Task setup and live demos training with tools
• Customer spotlight on Cognition with Sampriti Panda (Research Engineer)
• Success stories featuring Ambience, Genspark,  Mako, and Rogo
• Live Q&A 

👉 Agent RFT Interest Form: https://tinyurl.com/agentRFT
👉 Follow along with the code repo: https://github.com/openai/build-hours
👉 Sign up for upcoming live Build Hours: https://webinar.openai.com/buildhours/

00:00 Introduction
01:34 Intro to Agent RFT
11:12 Task Setup
14:15 Demos: Training with Tools
31:33 Best Practices
35:15 Customer Spotlight: Cognition
44:58 Success Stories
51:16 Summary
52:33 Q&A

Discover how Nebius built a purpose‑built AI cloud for scalable, reliable, high‑performance training, inference and data processing—designed for multi‑node models and sensible economics.

Scaling AI Inference: Nebius' High-Performance Cloud

Scaling AI Inference Performance in the Cloud with Nebius

When it comes to future-proofing AI deployments, you need reliable underlying AI infrastructure that is purpose-built for high performant and scalable inference.

Explore how Nebius built and deployed its high-reliance AI cloud, powered by NVIDIA.

Using managed Kubernetes with auto-scaling, Nebius optimizes its AI cloud to deliver multi-node training and inference of frontier models and AI applications for startups and enterprises. Nebius, an ecosystem partner for Dynamo, is enabling AI inference at scale with NVIDIA infrastructure. 

Learn how NVIDIA Dynamo and Kubernetes help scale high-performance AI inference in our new Think SMART blog: https://nvda.ws/4qPgD26 

Explore Nebius and NVIDIA collaboration: https://nvda.ws/4hMGjbz 

Watch Nebius leadership session from GTC: https://nvda.ws/3XfIZEZ

Investigative account of how Hitler enlisted artists, architects and officials—through private access, looted art and social rituals—to forge the Nazi high command.

Inside the Nazi Recruitment Machine: Proximity, Privilege and Cultural Complicity

How Hitler Recruited the Leaders of the Nazi High Command: The Untold Mechanics of Proximity, Privilege and Complicity

Vzestup Adolfa Hitlera nestál pouze na jeho armádě, ale také na civilní síti byrokratů, umělců, podnikatelů a manželek, kteří soupeřili o to, aby se dostali co nejblíže k moci. Nábor nacistického vysokého velení se odehrával na soukromých večeřích, večírcích v zabavených vilách a prostřednictvím projevů slepé oddanosti. Neexistovaly žádné dekrety ani formální přísahy – stačilo projevit naprostou loajalitu. Od architektů, kteří utvářeli estetiku Říše, až po úředníky, kteří podepisovali příkazy ke konfiskaci, všichni byli součástí systému, v němž byl privilegium odměnou za fanatismus.

V Berghofu a Obersalzbergu se moc měřila v metrech vzdálenosti od Hitlera. Ministři, generálové a jejich manželky bojovali o pozvání, potřesení rukou nebo dům poblíž Führerovy rezidence. Domácí rivality, žárlivost a okázalost se staly nástroji kontroly. Martin Bormann těmito napětími manipuloval, aby měl všechny pod dohledem, zatímco bankety a společenské rozhovory se měnily v scény, kde úsměv mohl znamenat povýšení a ticho – pád. Ukradený luxus, zabavená umělecká díla a večeře servírované na uloupeném porcelánu byly cenou za příslušnost k elitě režimu.

Hitler nemusel vydávat přímé rozkazy. Jeho okruh moci fungoval na základě iniciativy: každý byrokrat, podnikatel i akademik jednal tak, aby předvídal jeho přání a získal jeho přízeň. Nacistická ideologie se stala důkazem věrnosti a zločinnost – sdíleným zvykem. Tak se nábor rozšířil od ministerstev až po domácnosti, kde manželky, děti a uloupený majetek stvrzovaly rodinné spoluvinictví. Pravda o tom, jak Hitler verboval své vysoké velení, odhaluje, že moc Třetí říše se neopírala pouze o strach, ale také o ambici, průměrnost a fascinaci těch, kteří se rozhodli mu sloužit.

Pravda o tom, jak Hitler verboval vůdce nacistického vysokého velení

See how connecting Gemini to a Python sandbox yields precise numeric answers, auditable code, and reproducible data workflows — demos include summing primes and a CSV Genius app.

Gemini Code Execution: Accurate Math, Auditable Code & CSV Analysis

Code Execution with Gemini | Intro to Tools

Tools extend the abilities of large language models by connecting them to the outside world. Learn how to use the Code Execution tool with Gemini, which enables the model to generate and run Python code, for problems that involve math, data analysis, and code-based reasoning. This is Part 2 of our series on using tools with the Gemini API.

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

Products Mentioned: Gemini, Google AI Studio,  Gemini API

A fast-paced pregame for NVIDIA GTC that filters the noise—covering model scale, domain-specific models, infrastructure upgrades, startup innovations, and governance takeaways.

GTC Pregame: Model Scale, Infrastructure & Startup Breakthroughs

Pregame with NVIDIA: GTC Live Pregame Show — Inside the Runway for AI Breakthroughs

The GTC Live Pregame is back — bigger than ever.

From breakthrough AI startups to next-generation infrastructure, discover how AI is reshaping industries and accelerating science.

Watch the livestreamed event: https://nvda.ws/47ukFFp

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