Artificial Intelligence
Building intelligent machines that complement human reasoning and extend what people can do.
Baladodiffusion
Going deep on deep learning with Dr. Jianfeng Gao
Dr. Jianfeng Gao is a veteran computer scientist, an IEEE Fellow and the current head of the Deep Learning Group at Microsoft Research. He and his team are exploring novel approaches to advancing the state-of-the-art…
Événement
Swiss Joint Research Center Workshop 2020
The 7th annual workshop of the Swiss Joint Research Center, a collaborative engagement between Microsoft Research and ETH Zurich and EPFL, took place January 29-30, 2020 at EPFL in Lausanne. Each of the twelve project teams…
Blog de recherche Microsoft
Project Rocket platform—designed for easy, customizable live video analytics—is open source
Thanks to advances in computer vision and deep neural networks (DNNs) in what can arguably be described as the golden age of vision, AI, and machine learning, video analytics systems—systems performing analytics on live camera…
Vidéo
Transparency and Intelligibility Throughout the Machine Learning Life Cycle
People play a central role in the machine learning life cycle. Consequently, building machine learning systems that are reliable, trustworthy, and fair requires that relevant stakeholders—including developers, users, and anybody affected by these systems—have at…
Baladodiffusion
Innovating in India with Dr. Sriram Rajamani
Dr. Sriram Rajamani is a Distinguished Scientist and the Managing Director of the Microsoft Research lab in Bangalore. He’s dedicated his career to advancing globally applicable science in the testbed that is India. He is,…
Webinaire
Transparency and intelligibility throughout the machine learning life cycle webinar
In this webinar led by Microsoft researcher Jenn Wortman Vaughan, explore how to best incorporate transparency into the machine learning life cycle. Here, we will explore these three components of transparency (with examples): traceability, communication,…
