Improving AI models’ ability to explain their predictions
A new approach could help users know whether to trust a model’s predictions in safety-critical applications like health care and autonomous driving.
Source: MIT News
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A new approach could help users know whether to trust a model’s predictions in safety-critical applications like health care and autonomous driving.
Source: MIT News
The approach could help engineers tackle extremely complex design problems, from power grid optimization to vehicle design.
Source: MIT News
Lincoln Laboratory intern Ivy Mahncke developed and tested algorithms to help human divers and robots navigate underwater.
Source: MIT News
By leveraging idle computing time, researchers can double the speed of model training while preserving accuracy.
Source: MIT News
To help generative AI models create durable, real-world accessories and decor, the PhysiOpt system runs physics simulations and makes subtle tweaks to its 3D blueprints.
Source: MIT News
By providing holistic information on a cell, an AI-driven method could help scientists better understand disease mechanisms and plan experiments.
Source: MIT News
Strahinja Janjusevic brings an international perspective and US Naval Academy education to his graduate research in the MIT Technology and Policy Program.
Source: MIT News
Research from the MIT Center for Constructive Communication finds leading AI models perform worse for users with lower English proficiency, less formal education, and non-US origins.
Source: MIT News
A new method developed at MIT could root out vulnerabilities and improve LLM safety and performance.
Source: MIT News
By minimizing the need to drive around looking for a parking spot, this technique can save drivers up to 35 minutes — and give them a realistic estimate of total travel time.
Source: MIT News
The context of long-term conversations can cause an LLM to begin mirroring the user’s viewpoints, possibly reducing accuracy or creating a virtual echo-chamber.
Source: MIT News
Project AI Evidence will connect governments, tech companies, and nonprofits with world-class economists at MIT and across J-PAL's global network to evaluate and improve AI solutions.
Source: MIT News
Associate Professor Rafael Gómez-Bombarelli has spent his career applying AI to improve scientific discovery. Now he believes we are at an inflection point.
Source: MIT News
Driven by overuse and misuse of antibiotics, drug-resistant infections are on the rise, while development of new antibacterial tools has slowed.
Source: MIT News
Opening a new window on the brainstem, a new tool reliably and finely resolves distinct nerve bundles in live diffusion MRI scans, revealing signs of injury or disease.
Source: MIT News
MIT Sports Lab researchers are applying AI technologies to help figure skaters improve. They also have thoughts on whether five-rotation jumps are humanly possible.
Source: MIT News
Removing just a tiny fraction of the crowdsourced data that informs online ranking platforms can significantly change the results.
Source: MIT News
MIT faculty join The Curiosity Desk to discuss football, math, Olympic figure skating, AI and the quest to cure ovarian cancer.
Source: MIT News
EnCompass executes AI agent programs by backtracking and making multiple attempts, finding the best set of outputs generated by an LLM. It could help coders work with AI agents more efficiently.
Source: MIT News
He joins Nikos Trichakis in guiding the cross-cutting initiative of the MIT Schwarzman College of Computing.
Source: MIT News
Torralba’s research focuses on computer vision, machine learning, and human visual perception.
Source: MIT News
Professor James Collins discusses how collaboration has been central to his research into combining computational predictions with new experimental platforms.
Source: MIT News
The MIT senior will pursue a master’s degree at Cambridge University in the U.K. this fall.
Source: MIT News
Architecture students bring new forms of human-machine interaction into the kitchen.
Source: MIT News