Artificial Intelligence
Building intelligent machines that complement human reasoning and extend what people can do.
Vidéo
Domain-specific language model pretraining for biomedical natural language processing
Pretraining large neural language models, such as BERT, has led to impressive gains on many natural language processing (NLP) tasks. However, most pretraining efforts focus on general-domain corpora, such as in newswire and web text.…
Webinaire
Domain-specific language model pretraining for biomedical natural language processing webinar
In this webinar, Microsoft researchers Hoifung Poon, Senior Director of Biomedical NLP, and Jianfeng Gao, Distinguished Scientist, will challenge this assumption by showing that for domains with abundant unlabeled text, such as biomedicine, pretraining language…
Publication
A Federated Approach in Training Acoustic Models
Vidéo
Microsoft AI breakthrough in automatic image captioning
Microsoft researchers have built an artificial intelligence system that can generate captions for images that are, in many cases, more accurate than what was previously possible. The breakthrough is a milestone in Microsoft’s push to…
Blog de recherche Microsoft
Novel object captioning surpasses human performance on benchmarks
Consider for a moment what it takes to visually identify and describe something to another person. Now imagine that the other person can’t see the object or image, so every detail matters. How do you…
Projet
Project Insight
Project Insight aims to develop hardware-agnostic gaze-trackers using the power of Artificial Intelligence and Deep Learning. We are trying to solve the challenges of affordability, reliability, inter-operability and ease-of-use. On one hand, we are advancing…
Outil
Debiasing Item-to-Item Recommendations With Small Annotated Datasets Release
Implementation of “Debiasing Item-to-Item Recommendations With Small Annotated Datasets” (RecSys ’20)