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…
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…
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…
Debiasing Item-to-Item Recommendations With Small Annotated Datasets Release
Implementation of “Debiasing Item-to-Item Recommendations With Small Annotated Datasets” (RecSys ’20)
DA-Transformer: Distance-aware Transformer
Towards Hardware-Agnostic Gaze-Trackers
Interview: Juan Migel Lavista, Principal Data Scientist, Microsoft
Juan Migel Lavista is Principal Data Scientist at Microsoft. Held at the Haas School of Business, University of California, Berkeley, the Data Science & Strategy Lecture Series examines the evolving role of “big data” and…