NYU Center for Data Science – Medium

NYU Center for Data Science

18.2K followers

Congratulations to Our 2025 Graduates

CDS introduces the class of 2025: a new generation of data scientists whose work spans ML theory, scientific computing, fairness, and more.

Just now

Congratulations to Our 2025 Graduates

Just now

AI in Military Decision Support: Balancing Capabilities with Risk

CDS Faculty Fellow Tim G. J. Rudner and colleagues at CSET outline responsible practices for deploying AI in military decision-making.

2d ago

AI in Military Decision Support: Balancing Capabilities with Risk

2d ago

When Language Models Grade, the Average Score Wins

Averaging LLMs’ full judgment distributions, instead of picking the most likely score, boosts grading accuracy without retraining.

May 9

When Language Models Grade, the Average Score Wins

May 9

When Good Data Is Scarce, Planning Beats Reinforcement Learning in AI Decision-Making

When AI can’t rely on good data, planning ahead beats traditional reinforcement learning.

May 7

When Good Data Is Scarce, Planning Beats Reinforcement Learning in AI Decision-Making

May 7

AI Diagnostic Tools Improve When They Consider Patient History, Not Just the Latest Scan

AI diagnostic models perform more accurately — and more equitably — when they account for a patient’s past reports as well as current…

May 2

AI Diagnostic Tools Improve When They Consider Patient History, Not Just the Latest Scan

May 2

CDS Researchers Make Strong Showing at ICLR 2025

Thirty-seven CDS researchers had papers accepted to ICLR 2025, with several receiving Spotlight recognition.

Apr 30

CDS Researchers Make Strong Showing at ICLR 2025

Apr 30

Why Win Rate Should Be the Guiding Principle in Preference Learning

CDS’ Lily H. Zhang and Rajesh Ranganath show why win rate should be the standard for evaluating models trained on preference data.

Apr 25

Why Win Rate Should Be the Guiding Principle in Preference Learning

Apr 25

Seeing the Unseeable: How AI Reveals Atomic-Level Dynamics in Nanoparticles

A new AI technique lets scientists watch atoms move in real time, revealing previously unseen surface dynamics.

Apr 23

Seeing the Unseeable: How AI Reveals Atomic-Level Dynamics in Nanoparticles

Apr 23

AI Isn’t Always Helpful — and Researchers Have Found a Way to Know When

CDS Faculty Fellow Umang Bhatt and visiting researcher Valerie Chen present MODISTE, a system that learns when a user benefits from AI…

Apr 18

AI Isn’t Always Helpful — and Researchers Have Found a Way to Know When

Apr 18

Training Transformers: Formal Languages as the Key to Efficient Learning

Pretraining transformers on formal languages improves learning efficiency and boosts generalization in syntax tasks.

Apr 17

structured strings of brackets

Apr 17

NYU Center for Data Science

NYU Center for Data Science

18.2K followers

Official account of the Center for Data Science at NYU, home of the Undergraduate, Master’s, and Ph.D. programs in Data Science.

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