Peter Battaglia ✓
@PeterWBattaglia · joined 10 Oct 2013
Research Scientist, DeepMind
21 063Followers
347Following
139Posts total
287.9KViews on collected posts
Posts recentes
Procurando novos posts…
It’s been an amazing few years for AI weather forecasting, and it was a pleasure to chat about it with @FryRsquared for the @GoogleDeepMind podcast.
We spoke about the real-world impact it’s having now, like our work with the National Hurricane Center, and forecasting of https:/
393 views · 8 likes
· 1 reposts · 1 replies
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1:02
I’m excited to share WeatherNext 3, our most powerful AI forecasting model yet.
WeatherNext 3 generates forecasts each hour and at high-resolution, giving timely and more localized predictions. It’s trained on new data sources, like live satellites, and achieves state-of-the-art
12.5K views · 213 likes
· 24 reposts · 10 replies
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@PeterWBattaglia @GoogleDeepMind @GoogleResearch But can it actually predict the weather correctly?
905 views · 3 likes
· 0 reposts · 0 replies
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We're announcing a major update to Weather Lab, our interactive website for sharing Google’s AI weather models from @GoogleDeepMind and @GoogleResearch: https://t.co/7vCH7Qw2Fo https://t.co/EOnX9Ubjb5
180.9K views · 1.4K likes
· 200 reposts · 46 replies
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0:20
Here's what's new:
🌎Global weather forecasts from WeatherNext 2 and MetNet
📅Historical forecasts up to 15 days ago
📍Point forecasts for a specific location
🌀View cyclone tracks alongside weather forecasts
💧Maps for temperature, precipitation, pressure and wind speed
4.4K views · 24 likes
· 2 reposts · 2 replies
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@PeterWBattaglia La dependencia de las cadenas de suministro y grids energéticas en predicciones precisas es masiva. Un error de horas en el forecast puede costar millones. WeatherNext 2 convirtiendo esto en ciencia exacta en minutos es el tipo de aplicación de IA que realmente i
243 views · 1 likes
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Now available on Earth Engine, BigQuery, and soon Vertex AI, WeatherNext 2 generates hundreds of weather scenarios 8x faster with hourly resolution, beating our previous model on 99.9% of targets.
Huge thanks to the @GoogleDeepMind and @GoogleResearch teams!
2.5K views · 21 likes
· 2 reposts · 1 replies
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We rely on accurate weather predictions for critical decisions - from supply chains to energy grids to crop planning. AI is transforming how we forecast weather.
Thrilled to share WeatherNext 2 - our latest work in groundbreaking forecasting technology!
Learn more:
66.5K views · 226 likes
· 31 reposts · 10 replies
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We're hiring a Research Engineer in AI for Sustainability @GoogleDeepMind (San Francisco / Mountain View).
Seeking strong engineers at the interface of machine learning, environmental sustainability, weather, dynamical systems, and/or remote sensing: https://t.co/DqpCe2hUGr
19.6K views · 156 likes
· 24 reposts · 8 replies
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Em comparação com contas do mesmo porte
5 posts dos últimos 90 dias, ao lado da faixa de 10K–100K seguidores. aparece para muita gente, mas poucos desses espectadores reagem.
Mediana de visualizações4 435esta conta950mediana para 10K–100K
Alcance, %21.06%esta conta3.31%mediana para 10K–100K
Engajamento, %0.90%esta conta1.88%mediana para 10K–100K
| Métrica | Esta conta | Mediana para 10K–100K | Proporção |
|---|---|---|---|
| Mediana de visualizações por post | 4 435 | 950 | 4.67× |
| Alcance (visualizações ÷ seguidores) | 21.06% | 3.31% | 6.36× |
| Taxa de engajamento | 0.90% | 1.88% | 0.48× |
Outras contas desta faixa → Comparar com outra conta → Como estas referências são construídas →
Growth & engagement
How the posts we collected actually performed: views and reaction rate post by post, what the audience did with them, and where the follower count goes.
Views per post
19.6K24 Mar
66.5K17 Nov
2.5K
243
4.4K17 Jul
180.9K
905
12.5K3 Sep
3939 Sep
Last 9 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.
Engagement rate per post
0.96%24 Mar
0.40%17 Nov
0.98%
0.41%
0.63%17 Jul
0.90%
0.33%
1.98%3 Sep
2.54%9 Sep
Reactions — likes, reposts, replies and quotes — divided by views. Median for 10K–100K accounts is 1.88%.
What the audience does
Likes56.5%2 039 in total
Reposts7.9%284 in total
Replies2.2%78 in total
Bookmarks33.4%1 205 in total
Share of every reaction we collected for this account. Replies mean argument, reposts mean endorsement, bookmarks mean the post was worth keeping.
The follower curve appears once this account has two daily snapshots — we take one a day, and this one is on its first.
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