Making genetic prediction models more inclusive
MIT computer scientists developed a way to calculate polygenic scores that makes them more accurate for people across diverse ancestries.
To excel at engineering design, generative AI must learn to innovate, study finds
AI models that prioritize similarity falter when asked to design something completely new.
A new way to integrate data with physical objects
StructCode, developed by MIT CSAIL researchers, encodes machine-readable data in laser-cut objects by modifying their fabrication features.
AI copilot enhances human precision for safer aviation
Designed to ensure safer skies, “Air-Guardian” blends human intuition with machine precision, creating a more symbiotic relationship between pilot and aircraft.
Improving accessibility of online graphics for blind users
Open-source software by MIT MAD Fellow Jonathan Zong and others in the MIT Visualization Group reveals online graphics’ embedded data in the user’s preferred degree of granularity.
A more effective experimental design for engineering a cell into a new state
By focusing on causal relationships in genome regulation, a new AI method could help scientists identify new immunotherapy techniques or regenerative therapies.
J-PAL North America and Results for America announce 18 collaborations with state and local governments
Organizations will support government agencies in using evidence to advance economic mobility and racial equity in the wake of Covid-19.
From physics to generative AI: An AI model for advanced pattern generation
Inspired by physics, a new generative model PFGM++ outperforms diffusion models in image generation.
On the hunt for sustainable materials
PhD student Avni Singhal uses computational tools to help design new materials that address environmental challenges.
2023-2024 Accenture Fellows advance technology at the crossroads of business and society
The MIT and Accenture Convergence Initiative for Industry and Technology announces new graduate fellows.
How an archeological approach can help leverage biased data in AI to improve medicine
Although computer scientists may initially treat data bias and error as a nuisance, researchers argue it’s a hidden treasure trove for reflecting societal values.
Helping computer vision and language models understand what they see
Researchers use synthetic data to improve a model’s ability to grasp conceptual information, which could enhance automatic captioning and question-answering systems.
Fast-tracking fusion energy’s arrival with AI and accessibility
MIT Plasma Science and Fusion Center will receive DoE support to improve access to fusion data and increase workforce diversity.
New clean air and water labs to bring together researchers, policymakers to find climate solutions
Labs in Africa, the Middle East and North Africa, and South Asia will be led by J-PAL with support from Community Jameel.
Supporting sustainability, digital health, and the future of work
The MIT and Accenture Convergence Initiative for Industry and Technology selects three new research projects to support.