Google Research ✓
@GoogleResearch · joined 05 May 2017
Impossible? Let’s see. From algorithms to neuroscience to AI, Google Research strives to progress science, advance society & improve billions of people’s lives.
115 714Followers
17Following
546Posts total
645.3KViews on collected posts
Latest posts
Looking for new posts…
How do goods travel 450 miles overnight? It’s thanks to careful logistics optimization, particularly in the middle-mile segment, but optimizing these networks is difficult without public data. MilleMiglia provides a standardized benchmark, using spatial clustering and gravity htt
7K views · 76 likes
· 9 reposts · 7 replies
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"The best way to predict the future is to invent it."
In a deep dive with VP, Google & GM, Google Research @ymatias on The Google Research Podcast, @sineadbovell explored how AI is transforming science & interfaces:
🔹 Ambient AI & GenUI: Interfaces that adapt in real time to ht
5.5K views · 31 likes
· 4 reposts · 6 replies
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1:01
Today we explore the future of practice. We harness generative UI with learning design guardrails to give teachers the ability to generate guided, learning interactive simulations — for every topic & student.
Read more + check out the sample library with 30+ STEM interactives ht
30.6K views · 600 likes
· 70 reposts · 17 replies
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0:20
Spanning over 20 years, check out the latest in our AI language research in the 🧵⬇️
13.1K views · 106 likes
· 9 reposts · 3 replies
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Introducing Retrieve-for-Train: a framework that accelerates complex AI search by replacing heavy autoregressive inference with a lightweight diffusion model. This allows for instant, expert-level search slates at a fraction of the cost. Learn more: https://t.co/cQP0Lmg5kj https:
86.2K views · 1.5K likes
· 153 reposts · 31 replies
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Google’s work in language research spans over 20 years, beginning in 2006 with Google Translate. Today, these technologies power interactions in over 300 languages, reaching more than 7 billion people—86% of the global population.
However, translation and text processing alone h
15.6K views · 24 likes
· 1 reposts · 2 replies
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0:09
@GoogleResearch @HHMIJanelia “Map this, fly!” https://t.co/4odXiR552O
3.3K views · 22 likes
· 1 reposts · 0 replies
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Introducing WeatherNext 3! Built by @GoogleDeepMind and @GoogleResearch, this is our most advanced & accurate AI weather model, and now includes real-time satellite data, hourly refreshes, higher resolution, precise precipitation forecasting, and clean energy variables.
Read the
10.2K views · 205 likes
· 15 reposts · 9 replies
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Today on the blog, we evaluate ways to improve cross-population genetic risk prediction. While transfer learning from European cohorts improves prediction in small populations, it degrades accuracy as target cohort sample sizes grow. Learn more: https://t.co/mlL6Ye9kmX https://t.
8.4K views · 108 likes
· 6 reposts · 6 replies
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@GoogleResearch @HHMIJanelia So, in theory, it's possible to create a Sinthetic fly?
3.9K views · 25 likes
· 0 reposts · 2 replies
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@GoogleResearch @HHMIJanelia Can this play doom?
6.9K views · 121 likes
· 3 reposts · 3 replies
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Introducing a complete map of the male fruit fly brain and central nervous system, created in partnership with @HHMIJanelia. With over 166,000 neurons, this is the largest cellular brain map to date. Learn more: https://t.co/nrzbKDdTX1 https://t.co/fW4zL3Uvb8
405K views · 4.9K likes
· 495 reposts · 95 replies
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Methane is a potent greenhouse gas driving approximately 25% of human-induced warming. MAPL-EMIT is a deep-learning model that automates global methane tracking from space to enable scalable climate action.
Read the full post and check out the dataset: https://t.co/2y38UXFwno ht
11.9K views · 171 likes
· 16 reposts · 10 replies
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@GoogleResearch Wrote about it here: https://t.co/sbI1D1F8AQ
Sadly the terms don't allow us to host it!
13.4K views · 56 likes
· 2 reposts · 0 replies
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@GoogleResearch You guys are miles behind in coding and research and you guys drop this???
14.4K views · 71 likes
· 0 reposts · 10 replies
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Against accounts of the same size
16 posts from the last 90 days, next to the 100K–1M follower range. shown to more people than peers of the same size.
Median views11 055this account5 983median for 100K–1M
Reach, %9.55%this account1.49%median for 100K–1M
Engagement, %1.11%this account0.93%median for 100K–1M
| Metric | This account | Median for 100K–1M | Ratio |
|---|---|---|---|
| Median views per post | 11 055 | 5 983 | 1.85× |
| Reach (views ÷ followers) | 9.55% | 1.49% | 6.41× |
| Engagement rate | 1.11% | 0.93% | 1.20× |
Others in this range → Compare with another account → How these benchmarks are built →
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
13.4K31 Aug
11.9K1 Sep
405K3 Sep
6.9K
3.9K
8.4K
10.2K
3.3K
15.6K15 Sep
86.2K
13.1K
30.6K17 Sep
5.5K18 Sep
7K
Last 14 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.
Engagement rate per post
0.43%31 Aug
1.67%1 Sep
1.37%3 Sep
1.84%
0.69%
1.43%
2.25%
0.70%
0.18%15 Sep
1.99%
0.91%
2.25%17 Sep
0.81%18 Sep
1.32%
Reactions — likes, reposts, replies and quotes — divided by views. Median for 100K–1M accounts is 0.93%.
What the audience does
Likes68.5%8 043 in total
Reposts6.7%784 in total
Replies1.7%204 in total
Quotes1.1%134 in total
Bookmarks22.0%2 578 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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