Crowdsourcing to better forecast drug approvals
Researchers launched an in-house Data Science and Artificial Intelligence (DSAI) challenge to beat MIT’s machine-learning models for predicting clinical trial outcomes. The results are now available.
Researchers launched an in-house Data Science and Artificial Intelligence (DSAI) challenge to beat MIT’s machine-learning models for predicting clinical trial outcomes. The results are now available.
Machine learning is a powerful form of artificial intelligence that is affecting every industry. Here’s what you need to know about its potential and limitations and how it’s being used.
Building trust-based environments, establishing AI ethics, preventing big data inequality, and monitoring key performance indicators in real time.
The researchers found that the social perceptiveness—or social intelligence—of group members is a significant predictor of group intelligence, both for face-to-face groups and online groups.
A new book looks at how the integration of artificial and human intelligence will impact individuals, organizations, and society.
Evolution can drive prejudices, MIT Sloan economist Andrew Lo finds. To nurture group wisdom, biases in data sets must be documented and understood.
The winning team’s autonomous robots disinfect high-traffic spaces.
Changing the individuals in charge based on the nature of the issue leads to better collective intelligence and smarter decisions.
The MIT Laboratory for Financial Engineering (LFE) and Informa Pharma Intelligence announced a new initiative, Project ALPHA (Analytics for Life-sciences Professionals and Healthcare Advocates).
The MIT CCI today announced that its Climate CoLab—a global platform that crowdsources new ideas to address climate change—has spun out and migrated to Wazoku’s global Challenge Community InnoCentive.