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New type of map connects the dots in cellular reprogramming
A new use of an old mathematical method analyzes a massive single-cell RNA sequencing experiment to explore how cells move from one state to another.
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MIFODS hosts workshop on theoretical foundations of deep learning
The NSF-supported MIT Institute for Foundations of Data Science (MIFODS) held an interdisciplinary workshop led by Statistics and Data Science Center affiliate Aleksander Madry aimed at tackling the underlying theory behind deep learning.
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Filling the gaps in a patient’s medical data
IDSS affiliate Tommi Jaakkola and fellow CSAIL researchers have developed a model that can assimilate multiple types of patient health data to help doctors make decisions with incomplete information.
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Ask a TA: Everything You Need to Know About MIT xPRO’s Online Data Science Course
Eric Bradford, an MIT undergrad majoring in computer science, shares a behind-the-scenes look as a TA for our online course ‘Data Science and Big Data Analytics: Making Data-Driven Decisions.’
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Building trustworthy artificial intelligence
Statistics and Data Science Center affiliate Aleksander Madry compares AI to a sharp knife: a useful but potentially hazardous tool that society must learn to wield properly.
