New York University

16 Posts

Learning the Language of Geometry: AlphaGeometry, a system that nears expert proficiency in proving complex geometry theorems
New York University

Learning the Language of Geometry: AlphaGeometry, a system that nears expert proficiency in proving complex geometry theorems

Machine learning algorithms often struggle with geometry. A language model learned to prove relatively difficult theorems. 

January 24, 20242 min read
Learning the Language of Geometry: AlphaGeometry, a system that nears expert proficiency in proving complex geometry theorems
New York University

Learning the Language of Geometry: AlphaGeometry, a system that nears expert proficiency in proving complex geometry theorems

Machine learning algorithms often struggle with geometry. A language model learned to prove relatively difficult theorems. 

January 24, 20242 min read
The Big Picture and the Details: I-JEPA, or how vision models understand the relationship between parts and the whole
New York University

The Big Picture and the Details: I-JEPA, or how vision models understand the relationship between parts and the whole

A novel twist on self-supervised learning aims to improve on earlier methods by helping vision models learn how parts of an image relate to the whole.

December 13, 20232 min read
The Big Picture and the Details: I-JEPA, or how vision models understand the relationship between parts and the whole
New York University

The Big Picture and the Details: I-JEPA, or how vision models understand the relationship between parts and the whole

A novel twist on self-supervised learning aims to improve on earlier methods by helping vision models learn how parts of an image relate to the whole.

December 13, 20232 min read
One Model, Hundreds of Tasks: Multimodal Transformer Performs Over 600 Different Tasks
New York University

One Model, Hundreds of Tasks: Multimodal Transformer Performs Over 600 Different Tasks

Researchers took a step toward achieving a longstanding goal: One model that performs a whole lot of very different tasks. Scott Reed, Konrad Żołna, Emilio Parisotto and a team at DeepMind announced Gato.

May 18, 20222 min read
One Model, Hundreds of Tasks: Multimodal Transformer Performs Over 600 Different Tasks
New York University

One Model, Hundreds of Tasks: Multimodal Transformer Performs Over 600 Different Tasks

Researchers took a step toward achieving a longstanding goal: One model that performs a whole lot of very different tasks. Scott Reed, Konrad Żołna, Emilio Parisotto and a team at DeepMind announced Gato.

May 18, 20222 min read
Ask Me in a Different Way: Prompt Engineering Improves Few-Shot Learning Results
New York University

Ask Me in a Different Way: Prompt Engineering Improves Few-Shot Learning Results

Pretrained language models like GPT-3 have shown notable proficiency in few-shot learning. Given a prompt that includes a few example questions and answers (the shots) plus an unanswered question (the task), such models can generate an accurate answer.

September 1, 20212 min read
Ask Me in a Different Way: Prompt Engineering Improves Few-Shot Learning Results
New York University

Ask Me in a Different Way: Prompt Engineering Improves Few-Shot Learning Results

Pretrained language models like GPT-3 have shown notable proficiency in few-shot learning. Given a prompt that includes a few example questions and answers (the shots) plus an unanswered question (the task), such models can generate an accurate answer.

September 1, 20212 min read
More Reliable Pretraining: Pretraining Method Helps AI Learn Useful Representations
New York University

More Reliable Pretraining: Pretraining Method Helps AI Learn Useful Representations

Pretraining methods generate basic representations for later fine-tuning, but they’re prone to certain issues that can throw them off-kilter. New work proposes a solution.

August 25, 20212 min read
More Reliable Pretraining: Pretraining Method Helps AI Learn Useful Representations
New York University

More Reliable Pretraining: Pretraining Method Helps AI Learn Useful Representations

Pretraining methods generate basic representations for later fine-tuning, but they’re prone to certain issues that can throw them off-kilter. New work proposes a solution.

August 25, 20212 min read
Motion Mapper: An AI system for automated animations for video game sprites
New York University

Motion Mapper: An AI system for automated animations for video game sprites

In some animated games, different characters can perform the same actions — say, walking, jumping, or casting spells. A new system learned from unlabeled data to transfer such motions from one character to another.

April 14, 20212 min read
Motion Mapper: An AI system for automated animations for video game sprites
New York University

Motion Mapper: An AI system for automated animations for video game sprites

In some animated games, different characters can perform the same actions — say, walking, jumping, or casting spells. A new system learned from unlabeled data to transfer such motions from one character to another.

April 14, 20212 min read
Covid-19 Triage: Computer vision for x-rays helps triage Covid-19 patients.
New York University

Covid-19 Triage: Computer vision for x-rays helps triage Covid-19 patients.

The pandemic has pushed hospitals to their limits. A new machine learning system could help doctors make sure the most severe cases get timely, appropriate care.

March 3, 20212 min read
Covid-19 Triage: Computer vision for x-rays helps triage Covid-19 patients.
New York University

Covid-19 Triage: Computer vision for x-rays helps triage Covid-19 patients.

The pandemic has pushed hospitals to their limits. A new machine learning system could help doctors make sure the most severe cases get timely, appropriate care.

March 3, 20212 min read
Washington Wrestles with AI: U.S. federal agencies lag at AI uptake
New York University

Washington Wrestles with AI: U.S. federal agencies lag at AI uptake

The U.S. government’s effort to take advantage of AI has not lived up to its promise, according to a new report. Implementations of machine learning systems by federal agencies are “uneven at best, and problematic and perhaps dangerous at worst".

November 25, 20202 min read

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