What is moving in technology
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. Bubble size shows research volume. Color shows the primary real-world impact area. Or browse trends by category →
Spatial Omics & Cell Atlas
Velocity in top 11% of all tracked fields and accelerating +1869% MoM — the most active research frontier this month
View analysis →Synthetic Biology
+1103% month-over-month — the sharpest acceleration in the dataset right now
View analysis →Medical AI
614 papers, yet velocity in top 19% — outsized signal for its size
View analysis →AI Drug Discovery × Protein Structure Prediction
Convergence score 75.9/100 — the strongest cross-field collision in this month's data
View analysis →AI for Climate
Was surging at +170% last month; now -29% — dropped 199 points. Researcher attention is shifting
View analysis →AI-Driven Network Security
1,553 papers · Computing
Genomic & Biological Foundation Models
271 papers · Biotech
AI Drug Discovery × Gene Therapy & mRNA Medicine
New cross-field collision detected · score 73.2/100
AI Drug Discovery × CRISPR Gene Editing
New cross-field collision detected · score 72.6/100
Physical AI
Early Adopters → Early Majority
AI Code Generation
Early Adopters → Late Majority
Each 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 0–100 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.
2905 shared papers and 31% 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.
1964 shared papers and 28% conceptual overlap bridge AI Drug Discovery (AI/ML) and Synthetic Biology (Biotech). When fields this different cite the same work, a new discipline is forming.
2188 shared papers and 23% conceptual overlap bridge AI Drug Discovery (AI/ML) and Gene Therapy & mRNA Medicine (Biotech). When fields this different cite the same work, a new discipline is forming.
1223 shared papers and 23% conceptual overlap bridge AI Drug Discovery (AI/ML) and Longevity & Aging Biology (Biotech). When fields this different cite the same work, a new discipline is forming.
2324 shared papers and 23% 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.
2455 shared papers and 22% conceptual overlap bridge AI Drug Discovery (AI/ML) and CRISPR Gene Editing (Biotech). When fields this different cite the same work, a new discipline is forming.
130 shared papers and 21% 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.
106 shared papers and 27% conceptual overlap bridge 6G Communications (Telecom) and Digital Twins (Computing). When fields this different cite the same work, a new discipline is forming.
139 shared papers and 17% conceptual overlap bridge Autonomous Vehicles (Mobility) and Edge AI & Efficient Inference (AI/ML). When fields this different cite the same work, a new discipline is forming.
50 shared papers and 35% conceptual overlap bridge Humanoid Robotics (Robotics) and Physical AI (AI/ML). When fields this different cite the same work, a new discipline is forming.