
Sr. Engineer, Cryo-TEM @thermosciEMSpec l ❄️🔬❄️ and 👽👽l PhD @NTUsg l MSc. @SSSIHL I All opinions are my own l
Milky way
Joined May 2017
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Arvind Kumar retweeted
For researchers wanting to test AI tool calling with cryo-EM operations, you can point your preferred coding agent at this BioSymphony CryoCore skill repo
It contains a tool knowledge base, workflow examples, scripts, and various learnings, including guidance for using cloud compute with your agents
github.com/BioSymphony/cryoc…
Arvind Kumar retweeted
BREAKING NEWS
The Royal Swedish Academy of Sciences has decided to award the 2026 #NobelPrize in Chemistry to Henri B. Kagan and Kenso Soai “for the discovery of non-linear effects and autocatalysis in asymmetric organic synthesis.”
Arvind Kumar retweeted
BREAKING NEWS
The Royal Swedish Academy of Sciences has decided to award the 2026 #NobelPrize in Physics to Francis Halzen “for decisive contributions to the IceCube Neutrino Observatory and the discovery of high-energy neutrinos of astrophysical origin.”
Arvind Kumar retweeted
BREAKING NEWS
The 2026 #NobelPrize in Physiology or Medicine has been awarded to Karl Deisseroth, Peter Hegemann and Georg Nagel “for their discoveries concerning light-gated ion channels and optogenetics.”
Arvind Kumar retweeted
We finally built what I've always wanted: A cryoEM papers database that is updated continually, searchable, and categorized!
It's live right now at cryoarcana.com/cryoem-papers
Arvind Kumar retweeted
Collecting Cryo-EM dataset on bacterial ribosome using Bose Institute's national Cryo-EM facility funded by @ANRFIndia . Thankful to @PolleySmarajit and Sourav Giri. Exciting times ahead in Kolkata!
Arvind Kumar retweeted
Qwen3.8-27B can now be run locally! ✨
Run on 17GB RAM via Unsloth Dynamic GGUFs.
Qwen3.8-27B is by far the strongest model for its size. We also uploaded NVFP4 quants.
GGUF: huggingface.co/unsloth/Qwen3…
Guide: unsloth.ai/docs/models/qwen3…
We promised open weights for Qwen3.8. Now, time to meet them! 🎉
⚡ Qwen3.8-27B:
- A native multimodal dense model. With just 27B parameters, it outperforms Qwen3.7-Plus overall and shines in real-world coding & office workflows.
- 262K native context, easily extendable to 1M tokens via YaRN.
- Built for builders. Highly efficient, high-quality, and licensed under Apache 2.0.
🚀 The open weights for Qwen3.8-2.4T-A95B (Max-level) have also been released recently.
Whether you're shipping lightweight applications with Qwen3.8-27B locally or building agents with Qwen3.8-2.4T-A95B, they're yours now!
Download, deploy, and build something we haven't imagined yet. 👀👇
- Hugging Face:
huggingface.co/collections/Q…
- ModelScope:
modelscope.cn/collections/Qw…
Arvind Kumar retweeted
Yes, we are back👑, with 206 tok/s on a single RTX 5090!
Amazing Day-0 work from the SGLang team. Give it a try~@sgl_project
The king of small models is back! Qwen3.8-27B from @Alibaba_Qwen is open source, and Day-0 support is live in SGLang:
- 206.1 tok/s decode on a single RTX 5090, with our NVFP4 plus DSpark
- 38.28 tok/s decode on DGX Spark
Qwen3.8-27B raises the bar again for what a small model can do on agentic planning and long-horizon tasks.
Long live the (small model) king! Run it locally with SGLang 👇
Arvind Kumar retweeted
Replying to @elonmusk
DGX-1 turns 10!
I delivered the first DGX-1 to OpenAI in SF on Aug 9, 2016.
On it, I wrote: "To the future of computing and humanity." It was a new kind of computer for a new kind of software.
Ten years later, I gave Elon a DGX Spark while visiting SpaceX. "From a single spark, a world of intelligence."
Spark is 1 PFLOP of NVFP4 at 200W — 5x DGX-1, in a tiny desktop computer.
Just imagine the next 10 years.
Arvind Kumar retweeted
I'm excited to announce the launch of CryoArcana, our cryoEM/ET firm! We have extensive experience to offer biotechs and academics. Our overall aim is to improve human well-being. Feel free to contact us for help with any #cryoEM problem.
We are pleased to launch CryoArcana, a cryoEM/ET consulting and advisory firm, to bring our 24+ years of expertise to industry & academia. We offer consulting in optimizing workflows and advisory across the entire pipeline. We plan to expand our services. cryoarcana.com
Arvind Kumar retweeted
🚀 DeepSeek-V4 Preview is officially live & open-sourced! Welcome to the era of cost-effective 1M context length.
🔹 DeepSeek-V4-Pro: 1.6T total / 49B active params. Performance rivaling the world's top closed-source models.
🔹 DeepSeek-V4-Flash: 284B total / 13B active params. Your fast, efficient, and economical choice.
Try it now at chat.deepseek.com via Expert Mode / Instant Mode. API is updated & available today!
📄 Tech Report: huggingface.co/deepseek-ai/D…
🤗 Open Weights: huggingface.co/collections/d…
1/n
Arvind Kumar retweeted
2-bit Qwen3.6-27B GGUF made 26 tool calls, triaged 15 GitHub issues and fixed, tested + reproed our repo’s 3 latest issues. 🔥
Try this locally in Unsloth Studio with just 12GB RAM. Studio also has a new look!
GitHub: github.com/unslothai/unsloth
Here's your weekend project. Build a fully local, sandboxed AI assistant.
Step-by-step tutorial to build your always-on agent:
🦞 on openclaw
✅ with NVIDIA NemoClaw
✨ using NVIDIA DGX Spark
Get started: developer.nvidia.com/blog/bu…
Arvind Kumar retweeted
Today we're launching Latent-Y: the world's first autonomous agent for drug design, lab-validated end to end.
Give it a research goal. Latent-Y reasons, designs, iterates, and delivers lab-ready antibodies, autonomously or collaboratively, with the biological reasoning of a PhD protein design expert.
Technical report: tinyurl.com/latent-y-techrep…
Blog post: latentlabs.com/latent-y
Apply for access: platform.latentlabs.com
Arvind Kumar retweeted
Today in @Nature, we shared new results from Project Silica—our work to encode data in glass—pushing toward durable, immutable archival storage designed to last for millennia. microsoft.com/en-us/research…



































