NVIDIA launched CorrDiff and FourCastNet

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Good morning, human brains, and welcome back to your daily munch of AI news.

Here’s what’s on the menu today:

  • Your weatherman is now obsolete 🌪️ ⚡️

    NVIDIA launched CorrDiff and FourCastNet.

  • Microsoft just broke physics ⚛️ 💻

    Turn videos into searchable, summarizable content.

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MAIN COURSE

NVIDIA knows when you'll die 🌪️ ⚡️

On Monday, NVIDIA launched CorrDiff and FourCastNet. These dramatically speed up and improve weather predictions while using far less energy.

What do they do?

CorrDiff offers High-res local forecasts with kilometer-scale detail. FourCastNet performs Quick global predictions using NOAA data.

How much faster are they?

CorrDiff is 500x faster than traditional methods and uses 10,000x less energy. FourCastNet is 5,000x faster for global forecasts.

Why do I care?

Climate disasters caused $62B in losses this year. Better forecasts mean better preparation.

What's it good for?

Insurance companies assessing risk, disaster preparedness teams, and anyone needing detailed weather predictions.

Why is this significant?

It could transform how we predict and respond to extreme weather events, from snowstorms to typhoons.

What's next?

Expect adoption across industries, from agriculture to disaster response.

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SIDE SALAD

Your computer is now quantum trash ⚛️ 💻

On Monday, Microsoft and Atom Computing announced their collaboration. They unveiled a breakthrough in reliable quantum computing with 24 error-correcting logical qubits.

What's the big deal?

They've built the largest error-correcting quantum system yet, using neutral atoms controlled by lasers.

How does it work?

Microsoft's “qubit virtualization” creates reliable logical qubits from multiple physical ones, combining with Atom Computing's hardware for better stability.

What can it do?

  • Run 24-qubit entangled states with fewer errors

  • Compute on 28 logical qubits

  • Fix errors and lost qubits during operation

When can we use it?

Orders open now through Azure, with deliveries starting next year.

Why do I care?

It could make quantum computing practical for real-world problems in chemistry and materials science.

How does it compare with others?

While IBM recently made their quantum circuits 50x faster, Microsoft's focusing on reliability and error correction.

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YOUR DAILY MUNCH

Think Piece 🧠

AI-powered headphones. University of Washington researchers developed headphones that create a “sound bubble” isolating voices within a 3-6 foot radius.

To be or not to be AI? A University of Pittsburgh study revealed that participants rated AI-generated poetry higher than works by Shakespeare when unaware of the source.

Startup News 💰

Musk and OpenAI’s dispute heats up. Emails from the Musk-Altman legal dispute reveal Musk’s early concerns about Google’s AI dominance.

Research 👨‍🔬

Cut Cross-Entropy — a memory-efficient method for training AI models that reduces memory use by avoiding materializing logits for all tokens.

Scaling Diffusion Models for Perceptual Tasks — Researchers at UC Berkeley demonstrated that diffusion models, traditionally used for image and video generation.

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