In the news | Microsoft Innovation
Microsoft AI for Earth combines user-friendly software tools with cloud-based artificial intelligence to empower organizations and individuals working to advance sustainability around the globe.
In the news | Financial Times
Microsoft will work on new tools intended to make it easier to apply AI to all areas of the Swiss pharmaceutical company's business, from finance to manufacturing.
In the news | Microsoft News
Novartis today announced an important step in reimagining medicine by founding the Novartis AI innovation lab and by selecting Microsoft Corp. as its strategic AI and data-science partner for this effort.
| Neil Dalchau
Dynamical systems theory provides a mathematical framework for studying how complex systems evolve over time, such as the neurons in our brains, the global climate system, or engineered cells. But predicting how these systems will behave in the future or…
In the news | TED
Computational biologist Sara-Jane Dunn explains how her team is studying embryonic stem cells to gain a new understanding of the biological programs that power life -- and develop 'living software' that could transform medicine, agriculture and energy.
In the news | Nature Biotechnology
Microsoft unveils the first collaborations for its Station B, a platform to automate lab experiments so scientists can test and reproduce ever-more-complex designs.
Episode 67, March 13, 2019 - Today, Dr. Phillips talks about the challenges and rewards inherent in reverse engineering biological systems to see how they perform information processing. He also explains what we can learn from stressed out bacteria, and…
In the news | Microsoft Innovation Stories
The project, called Station B, aims to develop an end-to-end platform to help scientists more efficiently and predictably channel the power of life's ultimate information processing machines: living cells.
In the news | Financial Times
Microsoft will make a big move into biotechnology on Tuesday with the launch of a new research system that enables scientists to engineer living cells using machine learning and data analysis.