IBM Research
@IBMResearch · 12 labs on 6 continents · joined 16 Sep 2008
Inventing what's next in science and technology. 🌍🔬 Subscribe to our newsletter: https://t.co/kyfsvQNzsV
231 401Followers
1 085Following
20 342Posts total
184.8KViews on collected posts
Postingan terbaru
Mencari postingan baru…
@IBMResearch Glad you're trying at least, but it's just not working out so far. These models aren't even that strong and you're still losing to them.
1.9K views · 9 likes
· 0 reposts · 0 replies
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Build what’s next with Granite 4.2: https://t.co/XVxwhVSwmw Available on:
@huggingface,
@replicate ,@DeepInfra, @ollama, @lmstudio, @AnythingLLM, @radixark, @OpenRouter, @ArtificialAnlys, @CoreWeave, @arena, @UnslothAI
5.7K views · 60 likes
· 4 reposts · 1 replies
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Inside the release:
✅ 3B, 8B and 30B models with native thinking capabilities
✅ Advanced coding and software engineering capabilities
✅ Optimized speech models for high-throughput transcription workloads
✅ Flexible deployment across cloud, on-premises and edge environments
7.4K views · 86 likes
· 5 reposts · 2 replies
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Meet Granite 4.2, IBM’s latest family of open models purpose-built for enterprise agentic AI.
With new native reasoning capabilities, Granite 4.2 can plan, reason, self-correct and reliably use tools to help automate complex enterprise workflows
⬇️
84.1K views · 711 likes
· 57 reposts · 34 replies
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Quantum computers run cold. Really cold. ❄️
@LiveScience takes a look inside IBM’s new modular cryogenic architecture, designed to connect quantum processors while keeping them at temperatures near absolute zero.
🧵 A few things worth knowing:
10.4K views · 186 likes
· 32 reposts · 11 replies
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In "@SpiderMan: Brand New Day", Prof. Banner lectures on quantum chromodynamics (QCD), the study of how quarks and gluons form protons and neutrons.
Fun Fact: Researchers from BasQ are using @IBM quantum computers to understand physical theories like QCD https://t.co/YhPjFGxgsG
6.9K views · 33 likes
· 17 reposts · 1 replies
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How do you trust a quantum result when classical verification is no longer possible?
See how researchers from @UChicago, Qedma, and Algorithmiq demonstrated quantum advantage based on frameworks designed to build trust in quantum computation. 🧵👇 https://t.co/EFreIDwu0f
6.8K views · 34 likes
· 9 reposts · 4 replies
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@IBMResearch @IBM @CNSE Impressive names, polished announcement — but the real question isn’t what’s printed on a 300 mm wafer. It’s whether Loon and Nighthawk deliver stable logic depth, error transparency, and verifiable advantage outside a controlled demo.
Until IBM can show
290 views · 6 likes
· 0 reposts · 1 replies
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@IBM @CNSE The fabrication of IBM Quantum chips at the Albany NanoTech Complex—and the close synchronization between semiconductor experts and physicists across Albany and at the IBM Thomas J. Watson Research Center in Yorktown—is key to the success of quantum computing at IBM. h
2.1K views · 24 likes
· 5 reposts · 1 replies
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@IBM @CNSE This story is about more than processing quantum chips on larger wafers. It’s about using the best possible minds, machinery, and processes to realize quantum computing. https://t.co/RhS133g4fK
2.1K views · 21 likes
· 2 reposts · 1 replies
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@IBM @CNSE The larger, 300mm wafer can carry more individual chips than its 200mm predecessor, allowing for more cost-effective chip yield per wafer and therefore providing shorter (faster) iteration and implementation cycle times. https://t.co/Z6k7ITRcKE
1.2K views · 18 likes
· 3 reposts · 1 replies
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.@IBM reveals latest quantum processors—IBM Quantum Loon and IBM Quantum Nighthawk—and all future chips on our quantum development roadmap are being fabricated at the Albany NanoTech Complex (@CNSE) using 300mm semiconductor wafer technology: https://t.co/45p1ZwcMib
#QDC25 https
55.8K views · 707 likes
· 173 reposts · 49 replies
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Dibandingkan akun berukuran sama
7 postingan dari 90 hari terakhir, dibandingkan dengan rentang 100K–1M pengikut. tampil ke lebih banyak orang dibanding akun seukurannya.
Median tayangan6 945akun ini5 983median untuk 100K–1M
Jangkauan, %3.00%akun ini1.49%median untuk 100K–1M
Interaksi, %0.98%akun ini0.93%median untuk 100K–1M
| Metrik | Akun ini | Median untuk 100K–1M | Rasio |
|---|---|---|---|
| Median tayangan per postingan | 6 945 | 5 983 | 1.16× |
| Jangkauan (tayangan ÷ pengikut) | 3.00% | 1.49% | 2.01× |
| Tingkat interaksi | 0.98% | 0.93% | 1.05× |
Akun lain pada rentang ini → Bandingkan dengan akun lain → Bagaimana tolok ukur ini disusun →
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
55.8K12 Nov
1.2K
2.1K
2.1K
290
6.8K10 Aug
6.9K11 Aug
10.4K19 Aug
84.1K25 Aug
7.4K
5.7K
1.9K
Last 12 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.
Engagement rate per post
1.70%12 Nov
1.78%
1.16%
1.42%
2.41%
0.72%10 Aug
0.73%11 Aug
2.23%19 Aug
0.98%25 Aug
1.30%
1.17%
0.47%
Reactions — likes, reposts, replies and quotes — divided by views. Median for 100K–1M accounts is 0.93%.
What the audience does
Likes67.8%1 895 in total
Reposts11.0%307 in total
Replies3.8%106 in total
Quotes1.9%53 in total
Bookmarks15.6%435 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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