Data flow’s decisive role on the global stage
New research by political science PhD candidate Meicen Sun illuminates the broad economic and political impacts of internet restrictions.
How quickly do algorithms improve?
MIT scientists show how fast algorithms are improving across a broad range of examples, demonstrating their critical importance in advancing computing.
Making self-driving cars safer through keener robot perception
PhD student Heng Yang is developing algorithms to help driverless vehicles quickly and accurately assess their surroundings.
Study: As a population gets older, automation accelerates
Economists find companies’ adoption of robots is partly due to shortages in middle-aged labor.
Why the future of textiles is collaborative
How-to manual from MIT and the Fashion Institute of Technology codifies successful textiles partnership between designers, engineers.
3 Questions: Jean-Jacques Degroof SM ’93, PhD ’02 on how MIT became an entrepreneurial powerhouse
The Institute wasn’t always prolific in entrepreneurship, according to the venture investor.
The laws of physics and the physics of law
Obiageli Nwodoh ’21 repurposed her STEM skills to pave a pre-law path at MIT and pursue social justice.
Study: Crowds can wise up to fake news
Experiment with Facebook-flagged content shows groups of laypeople reliably rate stories as effectively as fact-checkers do.
Transformative truth-telling at the MIT Open Documentary Lab
The lab’s artists and technology scholars are exploring representation and reality — and shaping the future of storytelling.
Jordan Harrod: Brain researcher and AI-focused YouTuber
The PhD student uses machine learning as a tool for studying pain and consciousness — and as subject matter for her popular videos.
Social media messages from health care workers help reduce travel-related Covid-19 spread
Large-scale video campaign allowed physicians and public health messengers to encourage staying home over the 2020 holidays.
Bridging the gap between education and employment: Community college and beyond
Conference brings together educators, policymakers, and industry leaders to consider new education models to train skilled workers.
Searching for multiplicity, in computer science and daily life
PhD student Rodrigo Ochigame designs alternative search engines and seeks to disrupt cultural assumptions in their teaching and research.
Exact symbolic artificial intelligence for faster, better assessment of AI fairness
Probabilistic programming language allows for fast, error-free answers to hard AI problems, including fairness.
3 Questions: David Kaiser and Julie Shah on social and ethical responsibilities of computing
Advancing the study and practice of thinking responsibly in computing education, research, and implementation.