#ScientificAI
Deep Principle announced Hydrogen-1.0 on November 2, with downloadable scientific-model weights and hardware-specific versions.

news.s3dat.com/stories/hydr...

#Hydrogen #ScientificAI
November 3, 2026 at 3:22 AM
CollabSciReM is a goal-conditioned reward framework that separates conversational quality, scientific rigor, and structural efficiency for research interactions.

#AIResearch #LanguageModels #ScientificAI #Alignment
https://arxiv.org/abs/2610.27901
October 21, 2026 at 8:01 AM
PathAnchor is a new open scientific reasoning system that structures evidence as Material-Sensor-Signal-System trajectories, helping AI agents preserve order and avoid overreaching conclusions. It scored 82.6% on 120…

#PathAnchor #OpenSourceAI #ScientificAI #ArXiv
https://arxiv.org/abs/2609.38766
October 1, 2026 at 12:01 PM
8/8
If you work at the intersection of AI, genomics and evolution, I would value your perspective: what evidence should genomic models be tested against next?

#GenomicAI #ScientificAI #ComputationalBiology #EvolutionaryGenomics
September 20, 2026 at 8:12 PM
Two tRNA sites may each vary, yet change together to preserve a base pair. The relationship reveals what either site alone cannot.

My Genomes to AI note explores what this means for genomic AI.

tahirali-biomics.github.io/posts/2026-0...

#Genomics #LLM #BiologicalInformation #ScientificAI
Meaning Lives Between Things – Dr. Tahir Ali
A personal reading note on joint and conditional probability, sequence context and predictive relationships in DNA.
tahirali-biomics.github.io
September 16, 2026 at 7:39 PM
𝐅𝐫𝐨𝐦 𝐆𝐞𝐧𝐨𝐦𝐞𝐬 𝐭𝐨 𝐀𝐈:
Using AI is not the same as knowing how to build and test it for science. I’m documenting my journey from evolutionary genomics toward evidence-grounded AI engineering—carefully, openly and honestly.

tahirali-biomics.github.io/genomes-to-a...

#ScientificAI #Genomics
Genomes to AI | Tahir Ali
Genomes to AI - Dr Tahir Ali’s working journal of becoming a scientific AI engineer.
tahirali-biomics.github.io
September 3, 2026 at 9:16 PM
🤖 Intern-S2-Preview: Scaling Scientific Agentic Foundation Models

https://pneumetron.com/news/ai_research/intern-s2-preview-scientific-agentic-model-1a2721

#AIResearch #LLM #ReinforcementLearning #ScientificAI
August 16, 2026 at 11:10 PM
LOCA, a Logical Chain Augmentation system, cut error rates in scientific QA datasets from about 20% to under 2% by automatically adding missing reasoning steps. Read more: https://getnews.me/loca-boosts-quality-of-scientific-ai-datasets/ #loca #scientificai
October 3, 2025 at 7:04 PM
Task‑aware OOD detection uses a joint likelihood of input and model prediction via a score‑based diffusion model, correlating with error on PDE, satellite and brain‑tumor data. Read more: https://getnews.me/task-aware-ood-detection-advances-trust-in-scientific-ai/ #ooddetection #scientificai
October 1, 2025 at 2:51 AM
Anthropic just teamed up with the Allen Institute & HHMI to make Claude more transparent and research‑ready. Exciting step for scientific AI & open ML collaboration. Dive into the details! #ScientificAI #AITransparency #ResearchCollab

🔗 aidailypost.com/news/anthrop...
February 3, 2026 at 9:45 PM
ChemWorld makes experiments programmable and replayable: change one hidden law, keep the task fixed, and audit every action.
That matters because as scientific agents become cheaper, ideas will multiply. Trusted validation—and the link back to physical evidence—will become scarce.
#ScientificAI
August 12, 2026 at 9:33 AM
Open weights don’t kill business models; they move the margin. In scientific AI, the moat is less likely to be the model than trusted data, reproducible workflows, expert validation, and integration with labs or clinics. The scarce product is confidence, not access.

#OpenSourceAI #ScientificAI
July 28, 2026 at 6:47 AM
The IMO achievement fuels hope for AI's role in scientific discovery. Is it a general leap or a highly specialized solution? Understanding specific techniques is key to assessing its broader impact on AI development. #ScientificAI 2/6
July 20, 2025 at 1:00 PM
Our pioneering #TsetlinMachine #AI #chip analyzes 60,000 images per second while consuming just 8.6 nanojoules per image - that's 230,000,000x less energy than the energy of a single sugar crystal! Paper: arxiv.org/pdf/2501.19347 #ByeByeBlackBoxes #StayInCharge #GreenAI #DemocraticAI #ScientificAI
February 3, 2025 at 1:38 PM
The first #ASIC Coalesced Convolutional #TsetlinMachine chip has arrived! 🎉 Initial tests are successful, promising state-of-the-art energy efficiency and marking the beginning of the final phase of our research. #ByeByeBlackBoxes #GreenAI #DemocraticAI #ScientificAI #ML #AI #LogicalAI
November 22, 2024 at 8:42 AM
And my #HEP-ML group at @mbi-oeaw.bsky.social is already training models on it!

#hpc #scientificAI
Austria's new #supercomputer was officially inaugurated today! Multi-Site Computer Austria #MUSICA is a distributed system located in Vienna, Linz and Innsbruck.

Learn more about it in our latest news article: asc.ac.at/news/2026/ne...

#hpc #highperformancecomputing #Austria
July 3, 2026 at 3:35 PM
Anthropic Launches Claude Science — and Plans to Develop Its Own Drugs

Anthropic launched Claude Science, an AI platform for researchers consolidating scientific tools.

#AI #Pharma #DrugDiscovery #Anthropic #ScientificAI

https://wellfunded.news/articles/anthropic-claude-science-drug-development
Anthropic Launches Claude Science — and Plans to Develop Its Own Drugs
Anthropic unveiled Claude Science, an AI workbench designed to unify fragmented scientific tools and datasets for researchers. But the company didn't stop there — it also announced plans to develop its own pharmaceutical drugs using AI.
wellfunded.news
July 3, 2026 at 3:00 PM