AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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2,089 papers
ShadAR is introduced, an AR system that allows users to describe expected visual augmentations for changing their vision in real time, and can graphically manipulate AR passthrough in real time via shader injection.
As artificial intelligence (AI) increasingly supports human decision-making in high-stakes domains, designing effective human-AI collaboration becomes critical. Successful collaboration requires humans to reflect on decision-making processes and adjust their strategies accordingly. Current research typically investigat...
AdaptaFace is presented, an input-level compatibility layer using bounded, proxy-dependent adversarial perturbations to translate user-compatible gestures into inputs for an unchanged facial action unit (AU)-based recognizer, frame adversarial assistance as input-side accessibility mediation for personalized facial-ges...
Community-authored augmented reality (AR) can contest dominant heritage narratives by juxtaposing stories with physical surroundings. We examine the Th\'amien Ohlone AR Tour, developed with members of the Ohlone Native American community at Mission Santa Clara and Santa Clara University. Combining paired pre/post surve...
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Open online communities like Wikipedia offer a rich space for understanding the organic evolution of public-facing artifacts, but little is known about how these communities collectively edit chart images. We investigate the phenomenon of "community editing" of visualizations by exploring chart revision patterns on Wik...
Drawing on a growing body of VR and AR studies of attention, memory, and language, what XR makes newly possible for cognitive neuroscience is outlined and practical and conceptual obstacles that remain are reflected.
Goalball is a team sport for visually impaired athletes, played by throwing and blocking a ball while wearing eyeshades. However, existing studies provide limited guidance on which everyday training difficulties technology should address for players and coaches across team contexts. We conducted semi-structured intervi...
This paper presents the iterative design and evaluation of a virtual reality (VR) nursing training system developed in collaboration with nursing education specialists to enhance procedural skill acquisition, clinical decision-making, and critical thinking among pre-licensure nursing students. Two clinical scenarios, c...
Given the increased use of large language models (LLMs) for reading and seeking information and the varying needs and backgrounds of users, direct manipulation of text can be a valuable mechanism for end-user control. However, enabling direct manipulation requires that models generate text consistent with user-requeste...
Speech translation (ST) is increasingly adopted in user applications, yet its evaluation largely focuses on decontextualized testbeds and holistic quality, rather than end users' communication needs. We introduce Ouvia, an evaluation framework for measuring user-perceived usability of speech translation outputs in real...
People delegate multi-step work to LLM agents and read only the reply that the agent hands back. Current evaluation scores task completion and the faithfulness of reports, and it leaves open whether the requester can understand and use the reply. We call this property reply usability and measure it with a reader model...
Benchmarks shape how model capabilities are measured and interpreted, yet their scores can obscure whose conventions, contexts, and judgments define successful performance. We introduce a user-centric audit framework that distinguishes users who contribute benchmark content from those whose needs evaluation results are...
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…
Data Mining & Modeling
Professor Paris Smaragdis develops computers with superhuman hearing for applications like speech recognition, music understanding, and environmental monitoring.
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.”
Assistant Professor Benjamin Lindquist studies how engineers deliberately injected randomness into early AI, giving rise to deep-learning models that sometimes hallucinate.
“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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