New York University

6 Posts

Gato’s performance on simulated control tasks | Image captions generated by Gato
New York University

One Model, Hundreds of 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.
2 min read
Animation showing example questions and answers obtained by a pretrained language model
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.
2 min read
Information about a new unsupervised pretraining method called VICReg
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.
2 min read
System designed to isolate changes in the pose of a two-dimensional figure
New York University

Motion Mapper

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.
2 min read
Graph showing system that examines X-ray images to predict which Covid-19 patients are at greatest risk of decline
New York University

Covid-19 Triage

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.
2 min read
Graphs with data related to AI use cases
New York University

Washington Wrestles with AI

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".
2 min read

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