NYU Center for Data Science – Medium

NYU Center for Data Science

18.1K Followers

Language Models Optimize Biologically Realistic Synthetic Sequences, Potentially Helping Drug…

CDS researchers unveil LLOME, which optimizes biologically realistic synthetic sequences with potential applications for drug discovery.

5d ago

Language Models Optimize Biologically Realistic Synthetic Sequences, Potentially Helping Drug…

5d ago

From NASA to The New York Times: CDS Data Scientists Reshape Traditional Fields

CDS grads bridge disciplines, applying data science to fields like climate research, journalism, and global development.

Jan 9

From NASA to The New York Times: CDS Data Scientists Reshape Traditional Fields

Jan 9

Making AI Work Reliably for Everyone: Tim G. J. Rudner’s Research Earns Multiple Honors

Tim Rudner’s recent honors from UMass Amherst, AISTATS, and NeurIPS highlight his work in AI robustness and robotics.

Jan 8

Making AI Work Reliably for Everyone: Tim G. J. Rudner’s Research Earns Multiple Honors

Jan 8

Building Human-Compatible AI Through Cognitive Science: A New Path Forward

CDS researchers propose a new approach to AI: building systems that act as “thought partners,” complementing human cognition.

Jan 2

Building Human-Compatible AI Through Cognitive Science: A New Path Forward

Jan 2

A New Framework Reveals Unintended Side Effects in AI Language Model Interventions

Small AI model tweaks cause unintended changes: CDS Fellow Shauli Ravfogel’s work sheds light on AI interventions.

Dec 20, 2024

A New Framework Reveals Unintended Side Effects in AI Language Model Interventions

Dec 20, 2024

Learning From Others’ Mistakes: How Fine-Grained Error Data Improves Machine Translation

CDS PhD student Lily H. Zhang’s collab with Google uses fine-grained error data to improve machine translation quality.

Dec 18, 2024

Learning From Others’ Mistakes: How Fine-Grained Error Data Improves Machine Translation

Dec 18, 2024

From Rule-Based Systems to General Intelligence: The Evolution of AI Through Four Major Paradigm…

How we think about AI has evolved from rule-based systems to generally competent systems. CDS’ Vasant Dhar explains four paradigm shifts.

Dec 13, 2024

From Rule-Based Systems to General Intelligence: The Evolution of AI Through Four Major Paradigm…

Dec 13, 2024

CDS Members at NeurIPS 2024

CDS researchers are presenting groundbreaking work at NeurIPS 2024, showcasing advances in AI and machine learning.

Dec 12, 2024

CDS Members at NeurIPS 2024

Dec 12, 2024

The Missing Middle: Building a Science of Deep Learning

CDS researchers organize a NeurIPS workshop to develop a science of deep learning through experiments, bridging theory and engineering.

Dec 11, 2024

The Missing Middle: Building a Science of Deep Learning

Dec 11, 2024

Symile: A Simple, Powerful Way to Help AI Systems Understand Multiple Types of Data Together

CDS researchers have developed Symile, a method enabling AI to analyze relationships across unlimited types of data, even with missing…

Dec 6, 2024

Symile: A Simple, Powerful Way to Help AI Systems Understand Multiple Types of Data Together

Dec 6, 2024

NYU Center for Data Science

NYU Center for Data Science

18.1K 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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