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

Son gönderiler

Google Research ✓@GoogleResearch18 Sep

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 Open on X →

Google Research ✓@GoogleResearch18 Sep

"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

1:01

5.5K views · 31 likes · 4 reposts · 6 replies Open on X →

Google Research ✓@GoogleResearch17 Sep

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

0:20

30.6K views · 600 likes · 70 reposts · 17 replies Open on X →

Google Research ✓@GoogleResearch15 Sep

Spanning over 20 years, check out the latest in our AI language research in the 🧵⬇️ 13.1K views · 106 likes · 9 reposts · 3 replies Open on X →

Google Research ✓@GoogleResearch15 Sep

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 Open on X →

Google Research ✓@GoogleResearch15 Sep

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

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15.6K views · 24 likes · 1 reposts · 2 replies Open on X →

Google Research ✓@GoogleResearch3 Sep

@GoogleResearch @HHMIJanelia “Map this, fly!” https://t.co/4odXiR552O 3.3K views · 22 likes · 1 reposts · 0 replies Open on X →

Google Research ✓@GoogleResearch3 Sep

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 Open on X →

Google Research ✓@GoogleResearch3 Sep

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 Open on X →

Google Research ✓@GoogleResearch3 Sep

@GoogleResearch @HHMIJanelia So, in theory, it's possible to create a Sinthetic fly? 3.9K views · 25 likes · 0 reposts · 2 replies Open on X →

Google Research ✓@GoogleResearch3 Sep

@GoogleResearch @HHMIJanelia Can this play doom? 6.9K views · 121 likes · 3 reposts · 3 replies Open on X →

Google Research ✓@GoogleResearch3 Sep

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 Open on X →

Google Research ✓@GoogleResearch1 Sep

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 Open on X →

Google Research ✓@GoogleResearch31 Aug

@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 Open on X →

Google Research ✓@GoogleResearch31 Aug

@GoogleResearch You guys are miles behind in coding and research and you guys drop this??? 14.4K views · 71 likes · 0 reposts · 10 replies Open on X →

Google Research ✓@GoogleResearch31 Aug

@GoogleResearch oh hell yeah man 9.8K views · 41 likes · 0 reposts · 3 replies Open on X →

Aynı büyüklükteki hesaplara karşı

Son 90 güne ait 16 gönderi, 100K–1M takipçi aralığıyla yan yana. aynı büyüklükteki hesaplardan daha çok kişiye gösteriliyor.

Medyan görüntülenme11 055bu hesap5 983100K–1M için medyan

Erişim, %9.55%bu hesap1.49%100K–1M için medyan

Etkileşim, %1.11%bu hesap0.93%100K–1M için medyan

Ölçüt	Bu hesap	100K–1M için medyan	Oran
Gönderi başına medyan görüntülenme	11 055	5 983	1.85×
Erişim (görüntülenme ÷ takipçi)	9.55%	1.49%	6.41×
Etkileşim oranı	1.11%	0.93%	1.20×

Bu aralıktaki diğer hesaplar → Başka bir hesapla karşılaştır → Bu kıyas değerleri nasıl kuruluyor →

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

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.

Son gönderiler

Aynı büyüklükteki hesaplara karşı

Growth & engagement

Views per post

Engagement rate per post

What the audience does

Benzer hesaplar