TrialCompass, a visual analytics system integrating a novel workflow, can empower clinicians to iteratively explore the vast space of eligibility criteria through knowledge-driven and outcome-driven approaches and support history-tracking to help clinicians trace the evolution of their adjustments and decisions when ex...
Rui Sheng, Xing-Bo Wang, Jiachen Wang et al.· IEEE Transactions on Visuali...· 1 citation
An expert panel, spanning robotics, human-robot interaction, safety, and economics, systematically developed and refined an evaluation concept to analyze the transition from laboratory prototypes to operational systems.
Raphael Memmesheimer, Martina Overbeck, Dominik Beyer et al.· 0 citations
Industry 5.0 (I5.0) repositions manufacturing around a human-centric vision in which cyber-physical systems must adapt to the worker rather than the other way around. Despite significant advances in worker state monitoring technologies, including markerless computer vision, wearable physiological sensors, and machine-l...
Lara Pereira, Luís Miguel D. F. Ferreira, J. Paulo· 0 citations
This work argues for instructional governance by design: governance should be encoded in a teaching tool's interaction model, constraints, and workflow, and introduces a multidimensional framework that characterizes AI teaching tools through pedagogical grounding, AI instructional authority, and human accountability an...
Ethan Dickey· 0 citations
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Three phases and a common pattern in rule engineering are identified, offering SOC managers insights to improve their processes and expectations of engineer expertise, and challenges in generalizing rules beyond available tests are observed.
Koen T. W. Teuwen, Emmanuele Zambon, Luca Allodi· 0 citations
The application of machine learning to molecular property prediction has become increasingly prevalent in drug discovery, yet most models operate as black boxes, returning a prediction without revealing which structural features drive it. MolExplain addresses this gap by combining property prediction with sub-structure...
Footnotes can be powerful tools to aid understanding, providing information that augments the reading experience. However, static footnotes cannot address every reader question. Current reading tools allow readers to view curated footnotes, allow personal and social annotation, and link dictionaries to reading material...
Piper Vasicek, Courtni Byun, Kevin Seppi· 0 citations
This work introduces E3Sense, a head-worn platform that co-locates electroencephalography, eye tracking, and electrodermal activity to personalize engagement measurement and provides a proof-of-concept of a head-site, personalized multimodal sensing of engagement for adaptive educational interfaces.
Sidharth Anupkrishnan, Itir Sayar, Jeongah Lee et al.· 0 citations
Bespoke, a system that takes the transcript of an existing lecture and generates a new video customized to a target industry and duration, with new slides, narration, and charts, is presented.
Romain Puech, D. Agarwal, Antonio Santamaría Escobar et al.· 0 citations
A preregistered within-subject experiment in which Japanese and American participants wrote workplace emails in their native language without AI, with a low-context AI, and with a high-context AI found that Japanese participants wrote emails with significantly more high-context markers than Americans.
Shintaro Sakai, Alice Gao, Y. Shoda et al.· 0 citations
It is demonstrated that the VERA platform provides a viable means of remotely replicating laboratory-based studies and its ability to support large, demographically diverse participant samples is highlighted, establishing a validated methodological foundation for future large-scale remote studies of cybersickness and o...
Matt Gottsacker, Gerd Bruder, Daniel Zielasko et al.· 0 citations
This work compares six off-the-shelf VLMs against a transparent baseline that uses classical SIFT keypoint matching and a signal-quality index over retrieved images, and shows that a learned visual representation is not the bottleneck for this task: given retrieved images, a shape-appropriate classical similarity suffi...
AI agents can generate code at a scale that’s hard for humans to review line-by-line. PDD Kit helps ensure the code is doing what the developer intended by creating formal specifications and testing against them. It converts developer intent into a Verus specification, proves AI-generated code meets it for every input, and uses tests where proofs aren't practical. Developers review intent, not every line. The post Formally verifying agent-written full-stack web apps with PDD Kit appeared first o…
Professor Paris Smaragdis develops computers with superhuman hearing for applications like speech recognition, music understanding, and environmental monitoring.
MIT News · Artificial Intelligence· news.mit.eduOct 23, 2026
During the School of Humanities, Arts, and Social Sciences’ 75th Anniversary Symposium, President Sally Kornbluth said “MIT has never needed your particular insight and guidance more than we do now.”
MIT News · Artificial Intelligence· news.mit.eduOct 23, 2026
Assistant Professor Benjamin Lindquist studies how engineers deliberately injected randomness into early AI, giving rise to deep-learning models that sometimes hallucinate.
MIT News · Artificial Intelligence· news.mit.eduOct 22, 2026
“X-Hinges” helps design and 3D print items like lamps and gloves with an interactive twist: automatically embedded sensors that perceive and adaptively respond to human contact.
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