AI model identifies certain breast tumor stages likely to progress to invasive cancer
The model could help clinicians assess breast cancer stage and ultimately help in reducing overtreatment.
The model could help clinicians assess breast cancer stage and ultimately help in reducing overtreatment.
The approach could help engineers design more efficient energy-conversion systems and faster microelectronic devices, reducing waste heat.
A new technique enables users to compare several large models and choose the one that works best for their task.
More accurate uncertainty estimates could help users decide about how and when to use machine-learning models in the real world.
This new tool offers an easier way for people to analyze complex tabular data.
This technique could lead to safer autonomous vehicles, more efficient AR/VR headsets, or faster warehouse robots.
The SPARROW algorithm automatically identifies the best molecules to test as potential new medicines, given the vast number of factors affecting each choice.
Combining natural language and programming, the method enables LLMs to solve numerical, analytical, and language-based tasks transparently.
The method uses language-based inputs instead of costly visual data to direct a robot through a multistep navigation task.
With generative AI models, researchers combined robotics data from different sources to help robots learn better.