Every month we surface the research trends that will matter before they hit the mainstream. Trends show you what is accelerating. Convergences show you what is becoming inevitable.
Click any bubble to explore the full analysis. Position and bubble size reflect each cluster's full research volume over the past 3 years; velocity reflects the most recent 6 months. Color shows the primary real-world impact area. Or browse trends by category β
AI Companionship
Velocity in top 17% of all tracked fields and accelerating +400% MoM, the most active research frontier this month
View analysis βSolid-State Batteries
+160% month-over-month, the sharpest acceleration in the dataset right now
View analysis βNuclear Fusion
482 papers, yet velocity in top 22%, an outsized signal for its size
View analysis βAI Drug Discovery Γ Protein Structure Prediction
Convergence score 72.1/100, the strongest cross-field collision in this month's data
View analysis βAI for Chip Design
-71% MoM, the sharpest deceleration this month. Researcher attention is moving on
View analysis βEach topic gets two independent rankings: how fast research is growing (Research velocity), and how much people are searching for it on Google (Public search interest). The gap is the difference between the two, on a 0β100 point scale.
Bigger is more notable, not "better." A high gap means the research is well ahead of public awareness, i.e. the biggest head start on a story nobody's telling yet. It says nothing about whether the research will pan out.
214 shared papers and 40% conceptual overlap bridge AI Drug Discovery (AI/ML) and Protein Structure Prediction (Biotech). When fields this different cite the same work, a new discipline is forming.
403 shared papers and 15% conceptual overlap bridge AI Drug Discovery (AI/ML) and Spatial Omics & Cell Atlas (Biotech). When fields this different cite the same work, a new discipline is forming.
130 shared papers and 15% conceptual overlap bridge Federated Learning (AI/ML) and Post-Quantum Cryptography (Computing). When fields this different cite the same work, a new discipline is forming.
421 shared papers and 18% conceptual overlap bridge Autonomous Vehicles (Mobility) and Large Language Models (AI/ML). When fields this different cite the same work, a new discipline is forming.
173 shared papers and 19% conceptual overlap bridge Digital Twins (Computing) and Large Language Models (AI/ML). When fields this different cite the same work, a new discipline is forming.
107 shared papers and 24% conceptual overlap bridge 6G Communications (Telecom) and Digital Twins (Computing). When fields this different cite the same work, a new discipline is forming.
267 shared papers and 19% conceptual overlap bridge Agentic AI (AI/ML) and Autonomous Vehicles (Mobility). When fields this different cite the same work, a new discipline is forming.
56 shared papers and 41% conceptual overlap bridge Humanoid Robotics (Robotics) and Physical AI (AI/ML). When fields this different cite the same work, a new discipline is forming.
34 shared papers and 26% conceptual overlap bridge Genomic & Biological Foundation Models (Biotech) and Medical AI (AI/ML). When fields this different cite the same work, a new discipline is forming.
125 shared papers and 19% conceptual overlap bridge Agentic AI (AI/ML) and Autonomous Drones & UAVs (Robotics). When fields this different cite the same work, a new discipline is forming.
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