MIT and IBM will expand our collaboration: The MIT-IBM Computing Research Lab will seek to leverage hybrid quantum and classical computing, with advanced algorithms and AI, to solve challenging problems in fundamentally new ways.
The new ChartNet training dataset from MIT and @MITIBMLab could improve the accuracy of vision-language models that help analyze business trends or interpret scientific figures.
A new method from MIT, the MIT-IBM Watson AI Lab, and others could increase the training efficiency of large language models: By leveraging idle computing time, it can double the speed of model training while preserving accuracy.
MIT and MIT-IBM Watson AI Lab researchers are blending generative AI with physics simulations to make 3D designs that actually work in real life. The system, PhysiOpt, turns creative ideas into usable objects.
AI research led by MIT provides an overall picture of the cell state by identifying which data measurements tell researchers about one or multiple components of the cell. This could help clinicians understand disease mechanisms and plan treatments.