26 April 2026
Large language models (LLMs) can generate credible but inaccurate responses, so researchers have developed uncertainty quantification methods to check the
MIT researchers have developed a generative artificial intelligence-driven approach for planning long-term visual tasks, like robot navigation, that is about
Many engineering challenges come down to the same headache — too many knobs to turn and too few chances to
Have you ever had an idea for something that looked cool, but wouldn’t work well in practice? When it comes
A firm that wants to use a large language model (LLM) to summarize sales reports or triage customer inquiries can
What can we learn about human intelligence by studying how machines “think?” Can we better understand ourselves if we better
Say a person takes their French Bulldog, Bowser, to the dog park. Identifying Bowser as he plays among the other
The new TX-Generative AI Next (TX-GAIN) computing system at the Lincoln Laboratory Supercomputing Center (LLSC) is the most powerful AI supercomputer
Many attempts have been made to harness the power of new artificial intelligence and large language models (LLMs) to try
Environmental scientists are increasingly using enormous artificial intelligence models to make predictions about changes in weather and climate, but a