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NVIDIA Earth-2 AI Models Transform Satellite Data Into Life-Saving Forecasts

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@nvidiaai

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22 April 2026 21h00

🌍 Real-time data is the ultimate tool for Earth Day.

NVIDIA Earth-2 models like HealDA, built with collaboration from @MITREcorp and @NOAA, turn satellite observations into life-saving forecasts in just minutes.

We’re moving past physics modeling alone to on-demand AI that… pic.twitter.com/ByzNjTOOMB
— NVIDIA AI (@NVIDIAAI) 22 avril 2026

Real-time data is the ultimate tool for Earth Day. NVIDIA Earth-2 models like HealDA, built with collaboration from @MITREcorp and @NOAA
, turn satellite observations into life-saving forecasts in just minutes. We’re moving past physics modeling alone to on-demand AI that

→ View original post on X — @nvidiaai

22 April 2026
NVIDIA Asset Harvester Converts Autonomous Driving Video to 3D Assets

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@nvidiaai

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22 April 2026 19h12

NVIDIA researchers just released Asset Harvester — an end-to-end pipeline that turns autonomous driving video into manipulable 3D object assets.

A key building block for dynamic scene simulation in AV development. Code is open. Check it out: https://t.co/mMgk65fNDJ
— NVIDIA AI (@NVIDIAAI) 22 avril 2026

NVIDIA researchers just released Asset Harvester — an end-to-end pipeline that turns autonomous driving video into manipulable 3D object assets. A key building block for dynamic scene simulation in AV development. Code is open. Check it out:

→ View original post on X — @nvidiaai

22 April 2026
AI Accelerates Earth Observation Satellite Image Processing

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@nvidiaai

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22 April 2026 17h39

AI applied to Earth observation. @planet operates the largest constellation of Earth observation satellites. However, processing the data into workable images corrected for the physics and geometry of orbit may take hours. Now, meaningful images can be obtained in seconds

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22 April 2026
Gordon Bell Prize: 10-billion speedup for tsunami warnings

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@nvidiaai

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22 April 2026 17h39

🌊 Faster tsunami warnings

Gordon Bell Prize winners from @UTAustin, @UCSD, and @Livermore_Lab developed more accurate warning and wave forecasting — achieving a 10-billion speedup over existing calculation and warning methods.

That puts a warning in people’s hands within… pic.twitter.com/dRqliI9hsv
— NVIDIA AI (@NVIDIAAI) 22 avril 2026

Faster tsunami warnings Gordon Bell Prize winners from @UTAustin
, @UCSD
, and @Livermore_Lab developed more accurate warning and wave forecasting — achieving a 10-billion speedup over existing calculation and warning methods. That puts a warning in people’s hands within

→ View original post on X — @nvidiaai

22 April 2026
AI and Robotics Transform Recycling with Billions Diverted from Landfills

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@nvidiaai

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22 April 2026 17h39

♻️ Smarter recycling — billions of pounds of recyclables are diverted from landfills by robotics

AMP, a member of our NVIDIA Inception startup program’s Sustainable Futures initiative, is using AI and robotics to change the math — and help the Earth.

🔗 https://t.co/AUqUsrOL7o… pic.twitter.com/ePmFPGfvDL
— NVIDIA AI (@NVIDIAAI) 22 avril 2026

Smarter recycling — billions of pounds of recyclables are diverted from landfills by robotics AMP, a member of our NVIDIA Inception startup program’s Sustainable Futures initiative, is using AI and robotics to change the math — and help the Earth. https://
blogs.nvidia.com/blog/earth-day
-2026-ai-accelerated-computing/#amp
…

→ View original post on X — @nvidiaai

22 April 2026
AI Deep Learning Protects Critically Endangered Orangutan Species

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@nvidiaai

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22 April 2026 17h39

AI helps primatologists protect critically endangered orangutans. All three orangutan species are classified as critically endangered, with populations declining more than 80% over the past 75 years. Conservationists are using NVIDIA-enabled deep learning, to train models

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22 April 2026
Earth-2 Open AI Models Transform Weather Climate Understanding

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@nvidiaai

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22 April 2026 17h39

⛈️ Our technologies supports weather and climate understanding with the Earth-2 family of open AI models, libraries and frameworks — the world’s first fully open, accelerated weather AI software stack.

Watch Mike Pritchard, our climate simulation research director, show how… pic.twitter.com/XEEEetUlbo
— NVIDIA AI (@NVIDIAAI) 22 avril 2026

Our technologies supports weather and climate understanding with the Earth-2 family of open AI models, libraries and frameworks — the world’s first fully open, accelerated weather AI software stack. Watch Mike Pritchard, our climate simulation research director, show how

→ View original post on X — @nvidiaai

22 April 2026
Five AI Projects Tackling Earth’s Greatest Environmental Challenges

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@nvidiaai

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22 April 2026 17h39

🌍💚 Happy Earth Day. We are spotlighting five projects where AI is helping solve some of the Earth’s greatest challenges. Check them out below . . . 🧵👇

⛈️ Earth-2 climate simulation
🦧 Endangered species conservation
♻️ Robots sorting recyclables
🌊 Tsunami warnings
🌌 Earth… pic.twitter.com/8GBGqAbU7y
— NVIDIA AI (@NVIDIAAI) 22 avril 2026

Happy Earth Day. We are spotlighting five projects where AI is helping solve some of the Earth’s greatest challenges. Check them out below . . . Earth-2 climate simulation Endangered species conservation Robots sorting recyclables Tsunami warnings Earth

→ View original post on X — @nvidiaai

22 April 2026
NVIDIA Cadence Partnership Cuts AI Token Production Costs

By

@nvidiaai

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21 April 2026 19h02

At #CadenceLIVE, our CEO Jensen Huang joined @Cadence CEO @OfficialADevgan to discuss one of the biggest challenges in AI infrastructure: tokens per watt.

Hear how the NVIDIA-Cadence partnership is helping produce the lowest cost tokens in the world. 👇 pic.twitter.com/YfNr742IKS
— NVIDIA AI (@NVIDIAAI) 21 avril 2026

At #CadenceLIVE, our CEO Jensen Huang joined @Cadence CEO @OfficialADevgan to discuss one of the biggest challenges in AI infrastructure: tokens per watt. Hear how the NVIDIA-Cadence partnership is helping produce the lowest cost tokens in the world.

→ View original post on X — @nvidiaai

21 April 2026
Agentic AI Enables Self-Optimizing Autonomous Intelligent Agents

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@nvidiaai

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21 April 2026 0h00

Automation executes. Autonomy reasons. 🧠

Using Agentic AI, operators are now deploying intelligent agents that can self-optimize, self-heal, and self-configure.

➡️ https://t.co/A1bcxck9I2 pic.twitter.com/241Oc1hiM8
— NVIDIA AI (@NVIDIAAI) 20 avril 2026

Automation executes. Autonomy reasons. Using Agentic AI, operators are now deploying intelligent agents that can self-optimize, self-heal, and self-configure. https://
nvda.ws/4vEuuKS

→ View original post on X — @nvidiaai

21 April 2026

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