AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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2,089 papers
Validating AI contributions to scientific code rested largely on individual judgment, outside shared infrastructure for testing or review, and interfaces could support task-appropriate evaluation rather than leave it to the user.
A model that predicts this transformation in a single forward pass is learned: a MobileNetV4 backbone with FiLM-based emotion conditioning outputs parameters for differentiable global transformations, which reduced viewer-reported arousal relative to unedited images, comparably to the grayscale well-being filter.
Despite a growing demand for causal evidence about social media, independent researchers remain severely constrained in their ability to conduct experiments directly on online platforms. To cope, multiple methodological workarounds have emerged - from controlled surveys and simulations to client-side overlays and platf...
Experiments on BEAT2 show that GestureFAR significantly improves the quality--latency trade-off among streaming-capable methods, preserving strong gesture quality while enabling real-time token-causal generation.
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Underwater robot development is often hindered by the complexities of waterproofing and wiring, which significantly delay the rapid prototyping process. This paper presents MarineCraft, a modular toolkit designed to accelerate the development cycle through structural reconfiguration. The system features self-contained,...
This work advances SPI research from static images to dynamic videos and ensures more comprehensive scenario coverage during benchmarking with RobotEQ-Video, a hierarchical world-state taxonomy organized into a four-level coarse-to-fine structure.
This paper presents OpenRoIS, a community-driven open-source middleware providing a concrete implementation of the RoIS Framework 2.0, taking the position that an openly developed, paradigm-neutral implementation is what carries the standard from specification to practice.
This work critically analyze 114 papers to examine how cost-aware AI models have been developed for health systems, and defines model costs and subsequent dimensions, presenting insight into those studies reporting financial, computational, organizational and/or social measures.
Simulation results and user studies validate the high accuracy of the proposed SFR-Net and the effectiveness of PV-Care's context-aware assistance and indicate that PV-Care is a feasible and promising solution for MCI caring.
People increasingly seek mental health support from large language models, yet little is known about their use across years of recurrent panic. We present a three-year analytic autoethnography of the first author's ChatGPT use while living with panic disorder, drawing on conversations, personal records, and accounts fr...
As more of everyday life takes place online, digital behavior may provide a potential window into how depressive symptoms are reflected in daily life. Yet digital mental health studies have produced mixed findings. These inconsistencies may partly reflect how digital behavior is measured: self reported use, single devi...
Hand tracking offers natural VR interaction but lacks controllers'inherent tactile feedback, while haptic feedback across input methods remains understudied. We conducted a participant study comparing vibration, impulse, and no feedback in hand- and controller-based VR interaction across grasp-, pinch-, and tap-like ge...
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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