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Peter Battaglia

@PeterWBattaglia · joined 10 Oct 2013

Research Scientist, DeepMind

21 063Followers
347Following
139Posts total
287.9KViews on collected posts

Neueste Beiträge

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:/
1:02
393 views · 8 likes · 1 reposts · 1 replies Open on X →
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 Open on X →
@PeterWBattaglia @GoogleDeepMind @GoogleResearch But can it actually predict the weather correctly? 905 views · 3 likes · 0 reposts · 0 replies Open on X →
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
0:20
180.9K views · 1.4K likes · 200 reposts · 46 replies Open on X →
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 Open on X →
@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 · 0 reposts · 0 replies Open on X →
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 Open on X →
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 Open on X →
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 Open on X →

Im Vergleich zu Konten gleicher Größe

5 Beiträge aus den letzten 90 Tagen, verglichen mit der Größenklasse 10K–100K Follower. wird weit gezeigt, aber nur wenige dieser Zuschauer reagieren.

Medianaufrufe4 435dieses Konto949Median für 10K–100K
Reichweite, %21.06%dieses Konto3.31%Median für 10K–100K
Interaktion, %0.90%dieses Konto1.88%Median für 10K–100K
KennzahlDieses KontoMedian für 10K–100KVerhältnis
Medianaufrufe pro Beitrag4 4359494.67×
Reichweite (Aufrufe ÷ Follower)21.06%3.31%6.36×
Interaktionsrate0.90%1.88%0.48×

Weitere Konten dieser Größe →   Mit einem anderen Konto vergleichen →   Wie diese Vergleichswerte entstehen →

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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