Optimization and automated machine learning
A research field
Optimization and automated machine learning is losing ground in AI research: 2.6% to 2.4% of new AI papers, -0.2 points. It ranks #34 of 44 by gain in share. As of Oct 10, 2026.
- Change in share
- -0.2 pts
- Share, last 3 months
- 2.4%
- Papers, last 3 months
- 801
- Ready for products
- 2.1 / 5
Ideas in this field
Bayesian optimization0.1% → 0.1%+0.0 ptsGradient conflict mitigation0.0% → 0.0%0.0 ptsDynamic programming0.0% → 0.0%0.0 ptsPrimal dual optimization0.0% → 0.0%0.0 ptsGradient projection0.0% → 0.0%0.0 ptsDistributionally robust optimization0.0% → 0.0%0.0 ptsZeroth order optimization0.1% → 0.1%0.0 ptsSymbolic regression0.0% → 0.0%0.0 ptsHyperparameter optimization0.1% → 0.1%0.0 ptsEvolutionary optimization0.0% → 0.0%0.0 pts
Companies working on it
Optimization and automated machine learning: quick answers
No. Its share of new AI papers went from 2.6% to 2.4%, with 801 papers in the last 3 months.