MIT scientists build a system that can generate AI models for biology research
BioAutoMATED, an open-source, automated machine-learning platform, aims to help democratize artificial intelligence for research labs.
BioAutoMATED, an open-source, automated machine-learning platform, aims to help democratize artificial intelligence for research labs.
A new computational method facilitates the dense placement of objects inside a rigid container.
Training artificial neural networks with data from real brains can make computer vision more robust.
Experts from MIT’s School of Engineering, Schwarzman College of Computing, and Sloan Executive Education educate national security leaders in AI fundamentals.
A new dataset can help scientists develop automatic systems that generate richer, more descriptive captions for online charts.
MAGE merges the two key tasks of image generation and recognition, typically trained separately, into a single system.
MIT alumnus’ platform taps the wisdom of crowds to label medical data for AI companies.
Global participation in MIT RAISE’s free K-12 program more than doubles in its second year.
Six teams conducting research in AI, data science, and machine learning receive funding for projects that have potential commercial applications.
MIT students share ideas, aspirations, and vision for how advances in computing stand to transform society in a competition hosted by the Social and Ethical Responsibilities of Computing.
MIT-Novo Nordisk Artificial Intelligence Postdoctoral Fellows Program will support up to 10 postdocs annually over five years.
MIT postdoc Ziv Epstein SM ’19, PhD ’23 discusses issues arising from the use of generative AI to make art and other media.
NOMIS Foundation honors the Ford Professor of Economics for his contributions to understanding the effects of technological change and globalization on jobs and earnings prospects for workers.
New online journal seeks to bring together the MIT community to discuss the social responsibilities of individuals who design, implement, and evaluate technologies.
A new AI-based approach for controlling autonomous robots satisfies the often-conflicting goals of safety and stability.