Can robots learn from machine dreams? | MIT News
For roboticists, one challenge towers above all others: generalization — the ability to create machines that can …
For roboticists, one challenge towers above all others: generalization — the ability to create machines that can …
Automated software engineering (ASE) has emerged as a transformative field, integrating artificial intelligence with software development processes …
A crowd gathered at the MIT Media Lab in September for a concert by musician Jordan Rudess …
Log-based anomaly detection has become essential for improving software system reliability by identifying issues from log data. …
The development of vision-language models (VLMs) has faced challenges in handling complex visual question-answering tasks. Despite substantial …
Identifying gene deletion strategies for growth-coupled production in genome-scale metabolic models presents significant computational challenges. Growth-coupled production, …
Artificial intelligence systems often struggle with retaining meaningful context over extended interactions. This limitation poses challenges for …
Yiming Chen ’24, Wilhem Hector, Anushka Nair, and David Oluigbo have been selected as 2025 Rhodes Scholars and …
Kili Technology recently released a detailed report highlighting significant vulnerabilities in AI language models, focusing on their …
To fend off the worst impacts of climate change, “we have to decarbonize, and do it even …