Stanford Root

Schedule

Stanford Root

Schedule

STATS 282

AI and Data for Science (EE 292R, PSYCH 292R)

UNITS:1
GRADING:Satisfactory/No Credit
LEVEL:Graduate
GER:—

AI4Science is an emerging discipline that leverages machine learning, foundation models, and autonomous agents to accelerate the pace of discovery. By integrating data-driven architectures with physical constraints, the field models complex systems at unprecedented scales. At Stanford, this work is empowered by Marlowe - a specialized GPU-based computational instrument. This seminar series presents research from the Stanford community and beyond, exploring the frontier where Al and scientific inquiry converge.

Syllabus for selected term:
View Autumn 2026 Syllabus

Sections

1 Term
Seminar 1Open
ID: 28464
0 / 30 enrolled
DAYS:TBD
TIME:TBD
LOCATION:TBD
1unit

STATS 282: AI and Data for Science (EE 292R, PSYCH 292R)

1 units · Satisfactory/No Credit

AI4Science is an emerging discipline that leverages machine learning, foundation models, and autonomous agents to accelerate the pace of discovery. By integrating data-driven architectures with physical constraints, the field models complex systems at unprecedented scales. At Stanford, this work is empowered by Marlowe - a specialized GPU-based computational instrument. This seminar series presents research from the Stanford community and beyond, exploring the frontier where Al and scientific inquiry converge.

Offered in Autumn 2026 at Stanford University.

Autumn 2026 sections

  • Seminar — TBA TBA (Graduate)

More STATS courses

  • STATS 260C: Workshop in Biomedical Data Science (BMDS 280C)
  • STATS 261: Intermediate Biostatistics: Analysis of Discrete Data (BMDS 241, EPI 261)
  • STATS 262: Intermediate Biostatistics: Regression, Prediction, Survival Analysis (EPI 262)
  • STATS 263: Design of Experiments (STATS 363)
  • STATS 264: Foundations of Statistical and Scientific Inference (BMDS 243, EPI 264)
  • STATS 270: Bayesian Statistics (STATS 370)
  • STATS 292: Statistical Models of Text and Language
  • STATS 298: Industrial Research for Statisticians
  • STATS 299: Independent Study
  • STATS 300A: Theory of Statistics I
  • STATS 300B: Theory of Statistics II
  • STATS 300C: Theory of Statistics III

All STATS courses · All departments