53 articles tagged with #scientific-ai. AI-curated summaries with sentiment analysis and key takeaways from 50+ sources.
Researchers have developed SPM-Bench, a PhD-level benchmark for testing large language models on scanning probe microscopy tasks. The benchmark uses automated data synthesis from scientific papers and introduces new evaluation metrics to assess AI reasoning capabilities in specialized scientific domains.
OpenAI has developed a real-world evaluation framework to assess AI's potential in accelerating biological research, specifically testing GPT-5's ability to optimize molecular cloning protocols in wet lab environments. The research examines both the opportunities and risks associated with AI-assisted scientific experimentation.
Researchers developed the first comprehensive framework for creating domain-specialized Large Language Models for combustion science, using 3.5 billion tokens from scientific literature and code. The study found that standard RAG approaches hit a performance ceiling at 60% accuracy, highlighting the need for more advanced knowledge injection methods including knowledge graphs and continued pretraining.
