Topic archive
Research and science stories that affect builders, labs, product teams, and evidence-led technology decisions.
Google DeepMind says a randomized controlled trial across 12 schools in Sierra Leone and 1,763 junior secondary students found that guided AI learning lifted mathematics scores by 0.258 standard deviations. The result reinforces a broader shift in edtech: AI tools will increasingly be judged by learning outcomes, not by novelty or usage alone.
Guidances Staff · Updated June 14, 2026
Stanford University's Center for Artificial Intelligence in Medicine & Imaging is conducting prospective real-time clinical validation studies of AI models for medical imaging. This is a systematic approach to evaluating the safety and effectiveness of AI tools in actual clinical settings, helping build the evidence base used in regulatory review and healthcare deployment.
Guidances Staff · Updated June 14, 2026
Nature has introduced a benchmark of expert-level academic questions designed to assess the scholarly capabilities of AI systems. The benchmark aims to move beyond existing evaluation tools by testing advanced reasoning abilities required in real research environments. The research community anticipates this will enable more accurate measurement of AI models' scientific problem-solving capacity.
Guidances Staff · Updated June 14, 2026
Anthropic has published a research blog post proposing that biological data infrastructure become more agent-friendly. The company outlines deterministic execution layers, reliable access to biological databases, and agent-accessible context engines to support scientific discovery.
Guidances Staff · Updated June 12, 2026
OpenAI has released PaperBench, a new benchmark designed to measure AI agents' ability to replicate state-of-the-art research. The benchmark evaluates how accurately AI systems can reproduce empirical contributions from published papers, establishing a new standard for automated scientific research capabilities.
Guidances Staff · Updated June 12, 2026