Field Guides
Discipline-specific guides curating the most relevant tools, workflows, and tutorials for your research area — not a generic AI list.
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AI Tools for Drug Discovery
AI has entered every stage of the drug discovery pipeline — from target identification and structure prediction to de novo molecule generation and clinical trial design. This guide covers the tools with genuine research traction in 2026, alongside honest assessments of where AI predictions require experimental validation.
AI Tools for Genomics & Bioinformatics
Genomics has become one of the most data-intensive disciplines in science, and AI has transformed nearly every stage of the pipeline — from sequence alignment to variant interpretation to whole-genome foundation models. This guide covers the tools reshaping the field in 2026.
Computing With Light: A Field Guide to Photonic AI Chips
AI's biggest bottleneck is not FLOPS — it is moving data. Photonic chips replace copper wires with light-carrying waveguides, cutting interconnect energy by up to 40× and, in emerging designs, doing matrix multiplication itself in optics where interference does the math at the speed of light.
AI Tools for Chemistry
From reaction prediction to retrosynthesis and molecular design — the AI tools making chemistry more computational, and what they still can't replace in the lab.
AI Tools for Climate & Earth Science
AI weather models have started to match or beat physics-based forecasts at a fraction of the compute cost — a guide to the operational and research tools reshaping the field.
AI Tools for Health & Medicine
From drug discovery acceleration to clinical NLP and imaging analysis — the AI tools with genuine research utility in medicine, and the trust and regulatory considerations you can't skip.
AI Tools for Materials Science
AI models are compressing the materials discovery pipeline from years of synthesis to computational screening — a guide to GNoME, the open databases, and what these tools still can't do.
AI Tools for Physics & Astronomy
From galaxy morphology classification to gravitational wave detection and simulation surrogates — the AI tools reshaping observational and theoretical physics research.
AI Tools for Social Science
NLP tools for coding qualitative data, survey processing, large-scale text analysis, and literature synthesis — with honest notes on bias and reproducibility risks unique to social science AI use.
AI Tools for Structural Biology
From AlphaFold's structure predictions to generative design with RFdiffusion — the AI tools reshaping structural biology and how to use them together.