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GenCast is a diffusion model, similar to the machine learning models which also power generative AI. 🎨 We trained it on 40 years of historical data from ECMWF, which included variables such as temperature, wind speed, and pressure at various altitudes - enabling it to learn global weather patterns.

Google DeepMind

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26,360 görüntüleme • 1 yıl önce •via X (Twitter)

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Google DeepMind profil fotoğrafı

Google DeepMind1 yıl önce

Today in @Nature, we’re presenting GenCast: our new AI weather model which gives us the probabilities of different weather conditions up to 15 days ahead with state-of-the-art accuracy. ☁️⚡ Here’s how the technology works. 🧵

Google DeepMind profil fotoğrafı

Google DeepMind1 yıl önce

Weather affects almost everything - from our daily lives 🏠 to agriculture 🚜 to producing renewable energy 🔋 and more. Forecasting traditionally uses physics based models which can take hours on a huge supercomputer. We want to do it in minutes - and better.

Google DeepMind profil fotoğrafı

Google DeepMind1 yıl önce

Our previous AI model was able to provide a single, best estimate of future weather. But this can't be predicted exactly. So GenCast takes a probabilistic approach to forecasting. It makes 50 or more predictions of how the weather may change, showing us how likely different scenarios are.

Google DeepMind profil fotoğrafı

Google DeepMind1 yıl önce

GenCast is able to generate a single 15-day scenario in 8 minutes on a single TPU chip. When predicting extreme heat 🌡️, cold 🧊, and high wind speeds 💨, it consistently outperformed the current best operational forecast known as ENS.

Google DeepMind profil fotoğrafı

Google DeepMind1 yıl önce

It can also deliver superior predictions of the tracks of tropical cyclones, up to 5 days in advance. GenCast’s capabilities could not only help officials better prepare for disasters but also in other aspects of society, such as renewable energy planning. 🔋

Google DeepMind profil fotoğrafı

Google DeepMind1 yıl önce

AI in weather forecasting will help benefit billions of people in their everyday lives. To help enable further research and accelerate advances, we’re releasing the GenCast model code to the wider community. We’ll soon be releasing real-time and historical forecasts. Find out more. ↓

Roozbeh profil fotoğrafı

Roozbeh1 yıl önce

@ECMWF Any link you can share that compares its ensemble accuracy vs. physics based/traditional models?

Isabel Perez profil fotoğrafı

Isabel Perez1 yıl önce

@ECMWF How about running simulations for unknown scenarios? With global warming the predictability needs to be better than the 40 years of past data. I would love to know more about this! :)

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Today, we released Microsoft's newest AI Diffusion Report, and I sat down with Juan M. Lavista Ferres, Chief Data Scientist and Director of the AI for Good Lab, for a special edition of #ToolsAndWeapons to unpack the report’s most striking insights. It’s a conversation about technology’s reach, the pace of progress, and what it means for the world. The report reveals how generative AI is spreading globally—and why the speed of diffusion will determine who benefits most. We spotlight countries leading the charge like UAE, Singapore, and South Korea, and explore the rise of models such as China’s DeepSeek across parts of Africa. Listen to the full episode:

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César A. Hidalgo

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We are trained to think of Jihad as ISIS or Al-Qaeda. Violence, terror, shock, and chaos. But there is another model, a progressive model, the Muslim Brotherhood. Which is gradualism, institutional influence, and patience. That leads to legitimacy and normalization, which turns into power.

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This is huge! A UCLA team managed to build an optical generative model that runs on light instead of GPUs. In their demo, a shallow encoder maps noise into phase patterns, which a free-space optical decoder then transforms into images—digits, fashion, butterflies, faces, even Van Gogh–style art—without any computation during synthesis. ⚡ The results rival digital diffusion models, pointing to ultra-fast, energy-efficient AI powered by photonics. Optical generative models | Nature Paper:

机器之心 JIQIZHIXIN

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Ivan Burazin

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I'm excited to introduce my AI Machine Learning Agent that built 32 ML models in 30 seconds. Today, I'll share with you how to automate building 100s of ML models with the AI ML Agent, which is available on GitHub. We'll create an ML Agent focusing on a Customer Churn Problem. I'll guide you through setting up the ML Agent, creating dozens of ML models, and loading the best model for production. This AI is a huge time-saver! Table of Contents: 00:00 Introduction to my AI Data Science Team 02:56 Setting Up AI Data Science Team 04:48 Running the ML Agent Code 07:12 Create (and Run) the AI Machine Learning Agent 09:53 Reviewing ML Model Summary 12:00 Saving and Loading Models 13:00 Next Steps + Project Roadmap + AI Bootcamp Github to AI Data Science Team (Data Science Agents): Get the Code and Future Updates by Joining my Python AI/ML Tips Newsletter: P.S. - Want to learn how to build AI projects companies actually want? (live Python Code) On Wednesday, May 21st, I'm sharing one of my best AI Projects: AI Customer Segmentation Agent with Python Register here (570+ registered):

Matt Dancho (Business Science)

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Did you know that Facebook made $134.9 billion in 2023 from selling your data? Our society has come to the point where we accepted an unfair model in which privacy is being exploited and data gifted to big tech that is selling it for billions. We intend to break the norm of how data is shared on the internet because it is outdated and unfair. You should be empowered with more control and monetization models for your data!

Did you know that Facebook made $134.9 billion in 2023 from selling your data? Our society has come to the point where we accepted an unfair model in which privacy is being exploited and data gifted to big tech that is selling it for billions. We intend to break the norm of how data is shared on the internet because it is outdated and unfair. You should be empowered with more control and monetization models for your data!

Solana ID 🪷

30,451 görüntüleme • 1 yıl önce

The new SpaceX-Cursor model is going to be insane. It is being trained from scratch, unlike previous Composer models, which were built off Kimi. This new model is Elon’s attempt to get back in the AI race, and he might rejoin as the frontrunner. Composer 2.5 is already a world-class model, only losing to models like GPT-5.5, Opus 4.8, and Fable 5. Grok Composer 3, with SpaceX’s massive compute and xAI’s team, could become the best AI model on the planet. Elon is back.

The new SpaceX-Cursor model is going to be insane. It is being trained from scratch, unlike previous Composer models, which were built off Kimi. This new model is Elon’s attempt to get back in the AI race, and he might rejoin as the frontrunner. Composer 2.5 is already a world-class model, only losing to models like GPT-5.5, Opus 4.8, and Fable 5. Grok Composer 3, with SpaceX’s massive compute and xAI’s team, could become the best AI model on the planet. Elon is back.

Ali Romman

119,837 görüntüleme • 1 ay önce

The world around us is changing so fast. And to stay relevant, you need to constantly upskill yourself as well as accumulate capabilities. Data Analytics, Automation, and AI skill will continue to grow and evolve. On this channel, I will help you grow your knowledge of in these areas. From building your first machine learning model to deployment, building your first dashboard to becoming a pro, understanding business process automation using low code tools, data management, as well as learning from industry professionals through podcast. If you would like to learn about Microsoft Fabric, Power Platform, Data Management and Governance, Data Analytics, you are in the right place.

The world around us is changing so fast. And to stay relevant, you need to constantly upskill yourself as well as accumulate capabilities. Data Analytics, Automation, and AI skill will continue to grow and evolve. On this channel, I will help you grow your knowledge of in these areas. From building your first machine learning model to deployment, building your first dashboard to becoming a pro, understanding business process automation using low code tools, data management, as well as learning from industry professionals through podcast. If you would like to learn about Microsoft Fabric, Power Platform, Data Management and Governance, Data Analytics, you are in the right place.

TheOyinbooke

15,539 görüntüleme • 2 yıl önce