Microsoft Research Lab – New England
新闻与深度文章
Emma Pierson was listed on MIT Technology Review’s The 35 Innovators Under 35, which is their yearly opportunity to take a look at not just where technology is now, but where it’s going and who’s taking it there. Emma uses…
In this episode, Senior Principal Researcher Hunt Allcott talks with Postdoctoral Researcher Evan Rose about Allcott’s work exploring the everyday decisions people face, like buying fuel-efficient cars or taking out payday loans, and how a clearer understanding of these decisions…
Interviewed by Senior Principal Researcher Hunt Allcott, Economist David Rothschild discusses how the news media has evolved alongside social media and the internet, from story development to distribution of news via aggregators and wire services. Rothschild illuminates how and where…
In this episode, Senior Principal Researcher Dr. Hunt Allcott speaks with Microsoft Research New England office mate and Senior Principal Researcher Dr. Greg Lewis. Together, they cover the connection between causal machine learning and economics research, the motivations of buyers…
Econ1: Using microeconomics to solve mass incarceration featuring Hunt Allcott and Evan Rose
In this episode, Dr. Hunt Allcott, Senior Principal Researcher at Microsoft Research New England, talks with Dr. Evan Rose, Postdoctoral Researcher, whom Allcott describes as “one of the most engaging and talented researchers in applied microeconomics today.” They’ll discuss how…
Collaboration will integrate Microsoft Azure AI and Volastra’s insights into tumor biology to develop machine learning tools to detect drivers of tumor growth and predict metastatic risk.
When our team at Duke Health launched a bilingual COVID-19 symptom monitoring program last March, we noticed over 90 percent of participants enrolling were white. We quickly started collaborating with nonprofit design studio IDEO.org on the question: how can we…
| Misha Khodak, Neil Tenenholtz, Lester Mackey, 和 Nicolo Fusi
From BiT (928 million parameters) to GPT-3 (175 billion parameters), state-of-the-art machine learning models are rapidly growing in size. With the greater expressivity and easier trainability of these models come skyrocketing training costs, deployment difficulties, and even climate impact. As…
新闻报道 | Harvard Business Review
What a Year of WFH Has Done to Our Relationships at Work
More than a year into the Covid-19 pandemic and WFH, new research from Microsoft shows that employees and teams are becoming much more siloed. In particular, connections with people outside our immediate teams has shrunk dramatically, leading to fewer places…