Together, the Hasso Plattner Institute and MIT are working toward novel solutions to the world’s problems as part of the Designing for Sustainability research program.
Through innovation in software and hardware, researchers move to reduce the financial and environmental costs of modern artificial intelligence.
A new algorithm capable of inferring goals and plans could help machines better adapt to the imperfect nature of human planning
A new multimodal technique blends major self-supervised learning methods to learn more similarly to humans.
The scientists used a natural language-based logical inference dataset to create smaller language models that outperformed much larger counterparts.
As one of the leading scholars on search, Raghavan discussed how the World Wide Web impacted basic info retrieval and how Google is using LLMs to help redefine query results.
This new tool offers an easier way for people to analyze complex tabular data.
MIT CSAIL researchers created an AI-powered method for low-discrepancy sampling, which uniformly distributes data points to boost simulation accuracy.
The method uses language-based inputs instead of costly visual data to direct a robot through a multistep navigation task.
MIT CSAIL researchers combine AI and electron microscopy to expedite detailed brain network mapping, aiming to enhance connectomics research and clinical pathology.