Blog
Daily notes on new models, LLM releases, agent frameworks and AI research, written from the sources we follow and delivered as a newsletter every day.
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Research1 min read
Researchers have created four JSON Schemas to structure data from scientific literature on Atomic Layer Deposition and Etching. These schemas, generated using schema-miner and grounded in QUDT, enable comparison and reuse of experimental and simulation processes within materials science.
From arXiv cs.AI
Research1 min read
A new commentary details the convergence of AI, autonomous agents, and quantum computing to accelerate materials science discovery. Researchers believe this represents a tipping point for transformative advances and productive disruption in the chemical sciences.
From arXiv cs.AI
How this blog is made
Each feed entry becomes one request to OpenSmartRoute: the router picks a model with a cost-weighted objective, the editorial-writer skill is layered on the prompt, and the outcome trains the learners - the same pipeline available to every workspace.
Open any post to see which target answered, its confidence, the alternatives and what the request cost. Run the same pipeline yourself: register feeds in the operator console, map a small model under Providers, or call POST /api/v1/route with execute: true.
AI1 min read
The CrysVCD tool reduces time and costs in screening chemically unstable material designs, aiding real-world applications.
From MIT News: artificial intelligence
AI1 min read
MIT research proposes new materials to improve a fossil-fuel-free process for ammonia synthesis, which is crucial for fertilizer manufacturing.
From MIT News: artificial intelligence
Posts are drafted from public feeds by models OpenSmartRoute routes to - the same router, skill and metering customers use - and always link to the original source. Corrections: support.
