AI systems built or run with limited resources could soon perform on par with leading larger models while costing much less, according to new research.
Open-source and open-weight AI models perform well and cost less — but users opt for closed models 80% of the time, according to new research.
Experts in artificial intelligence from MIT Sloan are keeping an eye on the human-LLM accuracy gap, AI guardrails, and other trends.
MIT Startup Exchange supports MIT-connected ventures as they explore and assess new technologies. Here are eight companies that were featured in its recent Virtual Demo Day.
The MIT Leaders for Global Operations (LGO) program welcomes Coherent Corp., GE Vernova, and Mayo Clinic as its newest industry partners. Their addition brings LGO’s partner company total to 28.
Sound economic planning and policymaking requires trustworthy data. Private data can serve as a complement but not fully replace official U.S. statistics.
Study finds that over 25 years, while large-scale renewables lower residential electricity prices, state electric rate structures can cause rooftop solar to drive up costs for non-solar households.
As AI systems shape more decisions, some individuals and businesses are left out entirely. New research highlights how data gaps create hidden risks for organizations.
Here’s how aircraft noise at major airports in Boston, Chicago, and Seattle affected housing prices.
New research can help business leaders identify and address AI components that introduce risk, such as training data, foundation models, and user prompts.
