engblogs

This blogpost discusses the stepwise behavior observed in self-supervised learning, presenting a mathematical model that describes the training process of large-scale SSL methods and demonstrating its applicability in realistic settings.

An overview of a fully open RL environment built on Minetest and preliminary work

Utilizing advanced techniques for precise assessment of extensive qualitative data sets

The blogpost discusses how the CodeVQA framework uses program synthesis to improve accuracy on visual question answering tasks. It introduces three visual functions and evaluates the framework on various datasets, showing consistent improvement over a baseline few-shot VQA method.

Apple-sponsored workshops and events at the International Conference on Machine Learning (ICML) 2023 in Honolulu, Hawai'i.

A multi-part series providing key insights and tactics for Senior Executives leading data and AI transformation initiatives, focusing on cost allocation, monitoring, and optimization.

An AI system predicts molecular properties with limited data, accelerating drug discovery and material development.

The blogpost discusses a modular visual question answering framework called CodeVQA that uses code generation to answer visual questions using program synthesis, improving accuracy on complex reasoning tasks and outperforming prior few-shot methods.

Apple-sponsored workshops and events at the Association for Computational Linguistics (ACL) 2023 conference in Toronto, Canada.

A firsthand account from Jackie Lee, an AI Research Scientist, on why she chose to work at Duolingo.

Discover how NVIDIA Omniverse enhances AI by leveraging synthetic data for training perception models.

Navigating regulatory challenges in the realm of AI to safeguard public safety