Unpacking the bias of large language models
In a new study, researchers discover the root cause of a type of bias in LLMs, paving the way for more accurate and reliable AI systems.
In a new study, researchers discover the root cause of a type of bias in LLMs, paving the way for more accurate and reliable AI systems.
Researchers designed a tiny receiver chip that is more resilient to interference, which could enable smaller 5G “internet of things” devices with longer battery lives.
Plasma Science and Fusion Center researchers created a superconducting circuit that could one day replace semiconductor components in quantum and high-performance computing systems.
Ian Kumekawa’s book “Empty Vessel” explores globalization, economics, and the hazy world of short-term transactions known as “the offshore.”
The BiophysicaL Immune Profiling for Infants (BLIPI) profiles an infant’s immune system in under 15 minutes, using just a single drop of blood.
But a new study shows how advanced steelmaking technologies could substantially reduce carbon emissions.
The MIT Ethics of Computing Research Symposium showcases projects at the intersection of technology, ethics, and social responsibility.
By performing deep learning at the speed of light, this chip could give edge devices new capabilities for real-time data analysis.
A new method can physically restore original paintings using digitally constructed films, which can be removed if desired.
MIT engineers developed an atmospheric water harvester that produces fresh water anywhere — even Death Valley, California.
Study shows humans flexibly deploy different reasoning strategies to tackle challenging mental tasks — offering insights for building machines that think more like us.
The ingestible capsule forms a drug depot in the stomach, gradually releasing its payload and eliminating the need for patients to take medicine every day.
A new framework from the MIT-IBM Watson AI Lab supercharges language models, so they can reason over, interactively develop, and verify valid, complex travel agendas.
Forget optimists vs. Luddites. Most people evaluate AI based on its perceived capability and their need for personalization.
Campus gathers with Vice President for Energy and Climate Evelyn Wang to explore the Climate Project at MIT, make connections, and exchange ideas.