In the news | Medium
Best Python based AutoML frameworks in 2021
A curated list of popular OpenSource AutoML frameworks. This list includes FLAML, a lightweight Python library that finds accurate machine learning models automatically, efficiently and economically.
Agriculture and food
The world has a nutrition problem, and we see value in driving progress toward personalization of the dietary intake to prevent or treat chronic diseases, based on age, race, gender, DNA, health history, and lifestyle.
Media and entertainment
Advances in the game technology ecosystem provide core new functionality that is applicable to a broad range of challenges and opportunities in media and entertainment.
Financial services
Our vision for the financial services industry is one in which an ethical, intelligent set of cloud services are embedded within the experiences, business processes, and marketplaces of other verticals.
Energy
Microsoft is exploring ways in which research can enable advances in electrification and deep decarbonization toward lowering carbon emissions in the fight against climate change.
Supply chain
Microsoft sees advances in supply chain technologies as being key functional horizontal components enabling success in many industries including retail, manufacturing, energy, and agriculture.
Real-world evidence and the path from data to impact
| Darren Edge and Jonathan Larson
From the intense shock of the COVID-19 pandemic to the effects of climate change, our global society has never faced greater risk. The Societal Resilience team at Microsoft Research was established in recognition of this risk and tasked with developing open technologies that enable a scalable response in times of crisis. And just…
In the news | Behind the Tech with Kevin Scott
Dr. Peter Lee: Microsoft Research & Incubations
Kevin talks with Peter Lee about critical response scientific research, deep learning and neural networks—all related to COVID-19 and Microsoft’s growing healthcare and life sciences initiative. Listen in as they also discuss the key role that public trust plays in…
In the news | Microsoft AI Lab
AI Lab: Synthetic Data Showcase
Sharing data from sensitive sources is critical to research but can put vulnerable data subjects at risk of being identified. We created an open-source pipeline that generates synthetic data to preserve privacy when sharing and analyzing sensitive datasets.