Teaching AI models what they don’t know - MIT News
Jun 3, 2025 · A team of MIT researchers founded Themis AI to quantify artificial intelligence model uncertainty and address knowledge gaps.
Jun 3, 2025 · A team of MIT researchers founded Themis AI to quantify artificial intelligence model uncertainty and address knowledge gaps.
Feb 19, 2026 · MIT researchers find AI chatbots often show bias, giving less accurate or more dismissive answers to some users. The findings highlight growing risks, especially for marginalized …
The open source software (OSS) assessment has become important given the increased adoption of OSS in commercial product development. Researchers proposed many OSS assessment models. However, little is known about the industrial relevance of the mode...
Jun 22, 2012 · I came across this piece: The old saying “step on a crack, break your mother’s back” may not apply to sidewalks for much longer now that MIT researchers have figured out why concrete …
A recent study confirms that people cannot distinguish GPT-4 from a human in a Turing test during short conversations. Researchers evaluated three different AI systems: ELIZA, GPT-3.5, and GPT-4.
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3 days ago · Researchers found that a majority of studies on coastal sea levels underestimated how high water levels are, and hundreds of millions of people are closer to peril than previously thought.
Truly Conversational Search is the next logic step in the journey to generate intelligent and useful AI. To understand what this may mean, researchers have voiced a continuous desire to study how people currently converse with search engines. Traditionally, the desire to produce…
2 days ago · Using a more accurate coastal height baseline means a 3-foot rise in seas could inundate up to 37% more land and threaten 77 million to 132 million more people, researchers said.
The assumption of group heterogeneity has become popular in panel data models. We develop a constrained Bayesian grouped estimator that exploits researchers' prior beliefs on groups in a form of pairwise constraints, indicating whether a pair of unit...
For a researcher, writing a good research statement is crucial but costs a lot of time and effort. To help researchers, in this paper, we propose the research statement generation (RSG) task which aims to summarize one's research achievements and hel...
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Case studies are an established research method in many disciplines, including but not limited to the social sciences, public health, and implementation science. They are also increasingly popular in …
IoT deployments have been growing manifold, encompassing sensors, networks, edge, fog and cloud resources. Despite the intense interest from researchers and practitioners, most do not have access to large-scale IoT testbeds for validation. Simulation...
The OpenAI Gym provides researchers and enthusiasts with simple to use environments for reinforcement learning. Even the simplest environment have a level of complexity that can obfuscate the inner workings of RL approaches and make debugging difficu...
Security researchers have stated that the core concept behind current implementations of access control predates the Internet. These assertions are made to pinpoint that there is a foundational gap in this field, and one should consider revisiting th...
Mobile apps provide new opportunities to people with disabilities to act independently in the world. Motivated by this trend, researchers have conducted empirical studies by using the inaccessibility issue rate of each page (i.e., screen level) to re...
Cyclic arbitrage chances exist abundantly among decentralized exchanges (DEXs), like Uniswap V2. For an arbitrage cycle (loop), researchers or practitioners usually choose a specific token, such as Ether as input, and optimize their input amount to g...
The intersection of Artificial Intelligence and Digital Humanities enables researchers to explore cultural heritage collections with greater depth and scale. In this paper, we present EUFCC-CIR, a dataset designed for Composed Image Retrieval (CIR) w...