AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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1,682 papers
As technological and social innovations create novel regulatory challenges, legal systems grow in complexity - increasing the need for interfaces that enable effective interactions with legal document collections. Through interviews with legal scholars (n=15), we find that supporting legal work requires going beyond re...
LLM-assisted VR instruction is characterized as a domain-grounded mediation process among expert expression, executable operations, and learner-facing representations among expert expression, executable operations, and learner-facing representations.
Generative AI increasingly supports complex financial and health decisions, yet we know little about when its responses become difficult to process in real-world dialogue. We analyse more than 84,000 ChatGPT and Gemini conversations, using repeated prompting and clarification following misunderstanding as behavioural i...
While DS-enhanced visualisations effectively support lower-order tasks (finding data points and understanding insights), they don’t necessarily aid the correct completion of higher-order tasks (application, analysis, evaluation and creation).
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The mental model construct is widely used in HCI to refer to the knowledge structure people hold in order to reason about and interact with computing systems. Yet it is often operationalized intuitively: the construct is often used interchangeably with related concepts (e.g., folk theories, sensemaking) and methods of...
A scenario-knowledge-driven pipeline is proposed: a single scenario knowledge document, human-authored and version-controlled, configures sensing, constrains LLM reasoning, and shapes a graded intervention proposal that appropriateness of these interventions, the pipeline's restraint on sessions without struggle, and t...
The results show that providing tailored examples contributes to better writing performance and user experience.
A shared vocabulary, a design space, and evidence that measured monitoring and task performance are separable design targets are contributed, suggesting that measured monitoring and task performance are separable design targets.
English Wikipedia is one of the largest examples of collective intelligence on the Web, sustained not only by article production but also by volunteer coordination and governance. While prior research has examined coordination work in Wikipedia, less attention has been paid to how participation in these spaces has evol...
People increasingly reason with large language models (LLMs), yet complementary capabilities do not guarantee outperforming both components. In a between-subjects study, participants (N=535) solved a 40-item battery of matrix reasoning, mental rotation, syllogisms, and letter-string analogies, unaided or with GPT-5.6-L...
EgoAsk is introduced, a smart-glasses-based system that proactively embeds personalized object teaching into everyday activities and identifies gaps in personalized object knowledge, and analyzes ongoing activity to ask context-relevant questions that support future household assistance.
Weather is a complex, continuously changing system in which uncertainty is intrinsic. Physicalizing this uncertainty introduces further variation because computational outputs cannot fully determine material behavior. We distinguish computational uncertainty from material variability and introduce bounded material agen...
Students in MIT’s Concourse program delve deeply into the human condition, debate challenging questions, and learn to develop judgment about issues that can’t be quantified.
Jennifer Neville did not want to go into computer science—but that’s exactly where she landed. Neville discusses the starts and stops that led to her professional sweet spot and her work identifying “surprising failures” making it hard for AI to handle complexity. The post What AI gets wrong and what failure teaches us appeared first on Microsoft Research.
Able to defeat top-ranked human players and more efficient than other models, the new system could help decision-makers in military maneuvers or business negotiations.
A Blog post by H company on Hugging Face
The PKG Center for Social Impact expands Code.Tulsa experiential learning program.
Computer scientist, entrepreneur, and philanthropist will collaborate with the MIT Schwarzman College of Computing to advance AI and scientific discovery.
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