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Google AI's NeuralGCM Weather Model Achieves Breakthrough: 100,000 Times More Efficient Than Other Models

Recently, Google has made a remarkable breakthrough in the field of weather forecasting. They have developed a new atmospheric circulation model called NeuralGCM, which boasts a computational efficiency that is 100,000 times higher than traditional physical models, equivalent to the progress made in high-performance computing over the past 25 years.By combining machine learning with physical modeling, NeuralGCM performs both rapidly and accurately in simulating Earth's atmosphere. The results of

10.1k 3 days ago
Google AI's NeuralGCM Weather Model Achieves Breakthrough: 100,000 Times More Efficient Than Other Models

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Spark X1

Iflytek

Spark X1

$2

Input tokens/M

-

Output tokens/M

-

Context Length

Hunyuan-TurboS-latest

Tencent

Hunyuan-TurboS-latest

$0.8

Input tokens/M

$2

Output tokens/M

32

Context Length

ERNIE X1.1 Preview

Baidu

ERNIE X1.1 Preview

$1

Input tokens/M

$4

Output tokens/M

64

Context Length

Gemma 2 27B

Google

Gemma 2 27B

-

Input tokens/M

-

Output tokens/M

-

Context Length

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