Researchers teach an AI to write better chart captions
A new dataset can help scientists develop automatic systems that generate richer, more descriptive captions for online charts.
MIT-Pillar AI Collective announces first seed grant recipients
Six teams conducting research in AI, data science, and machine learning receive funding for projects that have potential commercial applications.
Novo Nordisk to support MIT postdocs working at the intersection of AI and life sciences
MIT-Novo Nordisk Artificial Intelligence Postdoctoral Fellows Program will support up to 10 postdocs annually over five years.
Building a playbook for elite-level sports
Master’s student Jerry Lu works to optimize the performance of both athletes and their sporting organizations.
Bringing the social and ethical responsibilities of computing to the forefront
The inaugural SERC Symposium convened experts from multiple disciplines to explore the challenges and opportunities that arise with the broad applicability of computing in many aspects of society.
MIT researchers make language models scalable self-learners
The scientists used a natural language-based logical inference dataset to create smaller language models that outperformed much larger counterparts.
Scaling audio-visual learning without labels
A new multimodal technique blends major self-supervised learning methods to learn more similarly to humans.
Celebrating the impact of IDSS
A two-day conference at MIT reflected on the impact of the Institute for Data, Systems, and Society since its launch, as founding Director Munther Dahleh prepares to step down.
Study doubles the number of known repeating fast radio bursts
Statistics tools support the idea that all radio bursts may repeat if observed long enough.
Using data to write songs for progress
Senior Ananya Gurumurthy adds her musical talents to her math and computer science studies to advocate using data for social change.
J-WAFS announces 2023 seed grant recipients
Fifteen principal investigators from across MIT will conduct early work to solve issues ranging from water contamination to aquaculture monitoring and management.
A better way to study ocean currents
A new machine-learning model makes more accurate predictions about ocean currents, which could help with tracking plastic pollution and oil spills, and aid in search and rescue.
Joining the battle against health care bias
Leo Anthony Celi invites industry to broaden its focus in gathering and analyzing clinical data for every population.
Study: AI models fail to reproduce human judgements about rule violations
Models trained using common data-collection techniques judge rule violations more harshly than humans would, researchers report.
Success at the intersection of technology and finance
Citadel founder and CEO Ken Griffin visits MIT, discusses how technology will continue to transform trading and investing.