Evolution
Evolution

Evolution

Artificial Intelligence Biology Cancer Computational biology DNA Evolution Faculty Genetics Health sciences and technology Institute for Medical Engineering and Science (IMES) Interview Koch Institute machine learning Medicine School of Science

3 Questions: Building predictive models to characterize tumor progression

Assistant Professor Matthew Jones is working to decode molecular processes on the genetic, epigenetic, and microenvironment levels to anticipate how and when tumors evolve to resist treatment.

Artificial Intelligence Bacteria Biology Electrical engineering and computer science (EECS) Evolution Faculty Genetics Interview machine learning Microbes MIT Schwarzman College of Computing School of Engineering School of Science

3 Questions: Using computation to study the world’s best single-celled chemists

Assistant Professor Yunha Hwang utilizes microbial genomes to examine the language of biology. Her appointment reflects MIT’s commitment to exploring the intersection of genetics research and AI.

Algorithms Artificial Intelligence Brain and cognitive sciences Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology computer-vision Electrical engineering and computer science (EECS) Evolution Imaging Lincoln Laboratory machine learning MIT Schwarzman College of Computing Psychology Research School of Engineering School of Science

AI pareidolia: Can machines spot faces in inanimate objects?

New dataset of “illusory” faces reveals differences between human and algorithmic face detection, links to animal face recognition, and a formula predicting where people most often perceive faces.