Vana is letting users own a piece of the AI models trained on their data
More than 1 million people are contributing their data to Vana’s decentralized network, which started as an MIT class project.
New Alliance for Data, Evaluation and Policy Training will advance data-driven decision-making in public policy
ADEPT brings together universities, governments, and other members to empower the next generation of policymakers with the tools to innovate, test, and scale effective public policies and programs.
A new way to make graphs more accessible to blind and low-vision readers
The Tactile Vega-Lite system, developed at MIT CSAIL, streamlines the tactile chart design process; could help educators efficiently create these graphics and aid designers in making precise changes.
Basketball analytics investment is key to NBA wins and other successes
Investment in analytics may also benefit college teams and fields beyond sports, a new study shows.
At the core of problem-solving
Stuart Levine ’97, director of MIT’s BioMicro Center, keeps departmental researchers at the forefront of systems biology.
Five ways to succeed in sports analytics
The 19th annual MIT Sloan Sports Analytics Conference spotlighted a thriving industry. Here are a handful of ideas for getting ahead in it.
A leg up for STEM majors
MIT undergraduates broaden their perspectives and prospects through political science.
Like human brains, large language models reason about diverse data in a general way
A new study shows LLMs represent different data types based on their underlying meaning and reason about data in their dominant language.
Validation technique could help scientists make more accurate forecasts
MIT researchers developed a new approach for assessing predictions with a spatial dimension, like forecasting weather or mapping air pollution.
Streamlining data collection for improved salmon population management
Assistant Professor Sara Beery is using automation to improve monitoring of migrating salmon in the Pacific Northwest.
User-friendly system can help developers build more efficient simulations and AI models
By automatically generating code that leverages two types of data redundancy, the system saves bandwidth, memory, and computation.
The multifaceted challenge of powering AI
Providing electricity to power-hungry data centers is stressing grids, raising prices for consumers, and slowing the transition to clean energy.
Explained: Generative AI’s environmental impact
Rapid development and deployment of powerful generative AI models comes with environmental consequences, including increased electricity demand and water consumption.
Algorithms and AI for a better world
Assistant Professor Manish Raghavan wants computational techniques to help solve societal problems.
Ecologists find computer vision models’ blind spots in retrieving wildlife images
Biodiversity researchers tested vision systems on how well they could retrieve relevant nature images. More advanced models performed well on simple queries but struggled with more research-specific prompts.