Challenging behaviors including aggression, self-injury, and property destruction are observed in 68% of autistic youth and pose risks to youth and caregivers. These episodes are preceded by agitation, a rising state of distress expressed through movement, vocalization, and autonomic arousal. Its signs are subtle and i...
Nibraas Khan, Abigale Plunk, John Staubitz et al.· 0 citations
Strategic classification studies how a decision maker should choose a classifier when the agents being classified can adjust their features in response to it. In existing models, the classifier is the only instrument available to the decision maker, and therefore a feature that is predictive but easy to fake can only b...
This framework introduces a Joint-Factor Embedding Retrieval module to locate similar recipes with specified sodium content for addressing the lack of contextual references, and designs a structured 4-hop Chain-of-Thought inference module to refine the vague estimation from language models through a multi-step sodium e...
Mingyu Huang, Wei-Qing Min, Yue-Hui Fang et al.· 0 citations
Brain-computer interfaces (BCIs) decode neural activity into commands, yet most existing systems rely on fixed-window decoding that may result in redundant observation or unreliable predictions due to insufficient evidence. Adaptive temporal decision-making (ATDM) addresses this accuracy-time trade-off by progressively...
Beining Cao, Ziyi Zhao, Xiaowei Jiang et al.· 0 citations
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Electroencephalography (EEG) provides non-invasive monitoring of brain activity and is widely used in emotion recognition, motor imagery and sleep staging. Although within-subject decoding has achieved considerable progress, cross-subject generalization remains a central challenge in practical applications. EEG decoder...
Hongyu Zhu, Lin Chen, Jing Chen et al.· 0 citations
Experimental results on the AVI Challenge 2026 validation set show that this framework reduces mean squared error (MSE) by approximately 25% compared with the baseline, and consistent improvements on the official test set demonstrate that the method achieves the best performance.
Jia Li, Qian-Cheng Chen, Wei Wang et al.· 0 citations
It is found that, alerted notes are associated with greater individual-level topical diversity, but also with stronger collective concentration in the Politics category, and Mixed-effects models estimate that alerted notes are 8.4-20.2 percentage points more likely to be modeled helpful and visible.
The idea and concept of Frankensteining is presented, which is based on the repeated application of IoT design methods in various contexts in various contexts, and a practical Frankensteining creation is presented and a serial Frankensteining approach is tested.
A post-hoc video processing intervention that segments instructional content into single-instruction chunks followed by fixed-length pauses to reduce cognitive load has an equalizing effect, and gains were larger for those with ADHD.
V. Pimenova, C. Lee, Baramee Bhakdibhumi et al.· arXiv.org· 0 citations
CHORUS is a mixed-initiative system designed to support translators’ workflow while preserving their personal style that reduces completion time, lowered translators’ cognitive effort, and improved final translation quality measured by the automatic metrics BLEU and COMET.
Ge Wang, Jia-Qi Hu, Guan-De Wu et al.· Proceedings of the 28th Inte...· 0 citations
Users often make security- and privacy-relevant decisions without a clear understanding of the rules that govern safe behavior. We introduce pedagogical friction, a design approach that inserts brief, instructional interactions at the moment of action. We evaluate this approach in the context of password creation, a fa...
Qian Ma, Yingfan Zhou, Shubhang Kaushik et al.· 0 citations
This essay explores a techno-artistic experiment that reanimates a 1980s East German typewriter using a contemporary AI language model. Situated at the intersection of media archaeology and speculative design, the project questions dominant narratives of progress by embedding generative AI in an obsolete, tactile inter...
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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