Rewriting the rules of machine-generated art
An artificial intelligence tool lets users edit generative adversarial network models with simple copy-and-paste commands.
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An artificial intelligence tool lets users edit generative adversarial network models with simple copy-and-paste commands.
Storage tool developed at MIT CSAIL adapts to what its datasets’ users want to search.
Through innovation in software and hardware, researchers move to reduce the financial and environmental costs of modern artificial intelligence.
MIT Task Force on the Work of the Future examines job changes in the AV transition and how training can help workers move into careers that support mobility systems.
Machine learning system from MIT CSAIL can look at chest X-rays to diagnose pneumonia — and also knows when to defer to a radiologist.
A team from MIT helped create an image retrieval system to find the closest matches of paintings from different artists and cultures.
Recent advances give theoretical insight into why deep learning networks are successful.
Unique survey of gene expression by cell type in humans and mice reveals several deficits affecting the most vulnerable neurons.
Honorees will receive additional support to pursue their research and develop their careers.
New work on 2D and 3D meshing aims to address challenges with some of today’s state-of-the-art methods.
New website from the MIT Center for Advanced Virtuality rewrites an important moment in history to educate the public on the dangers of deepfakes.
Robotic gripper with soft sensitive fingers developed at MIT can handle cables with unprecedented dexterity.
MIT App Inventor Challenge allows children to create apps that tackle the coronavirus pandemic.
Using UV-C light, the system can disinfect a warehouse floor in half an hour — and could one day be employed in grocery stores, schools, and other spaces.
Music gesture artificial intelligence tool developed at the MIT-IBM Watson AI Lab uses body movements to isolate the sounds of individual instruments.