AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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2,473 papers
As computational systems that process multimodal behavioral streams (e.g., speech, gaze, facial expressions, gestures, and bodily movements) become increasingly capable, the field faces a critical question: does more embodied data necessarily yield deeper human understanding? This question is most visible in the gestur...
Cultural heritage, as a combination of physical space and cultural significance, relies heavily on a deep understanding of visitor interaction patterns for its active conservation and public education. However, existing research is largely confined to laboratory or virtual environments, failing to capture the embodied...
The global expansion of artificial intelligence is reshaping organizations, labor markets, and innovation ecosystems at an unprecedented pace. Yet the governance of this transformation remains deeply gendered: women are systematically underrepresented in AI research, excluded from technology leadership pipelines, and m...
🇬🇧 English Version Title HyperPSCA: A Unified Autopoietic Hypergraph Engine for Cross-Domain Scientific Discovery, Patent Screening, and Material/Biomedical Co-Evolution Description/Abstract This repository introduces the computational infrastructure of HyperPSCA, an executable, autopoietic semantic hypergraph engine i...
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Deep neural networks, and Transformer models in particular, have achieved unprecedented success in natural language processing tasks. Despite this success, they are infamous for their status as black boxes. Specific details on how they encode and process high-level linguistic task-relevant information remain difficult...
Emergency Department (ED) length of stay (LOS) is a critical performance indicator in healthcare systems, influencing patient outcomes, overcrowding, and resource utilization. Predicting LOS can enhance patient flow and resource management. While traditional statistical methods have been used, the advent of machine lea...
We investigate the impact of a unique legislative reform that granted anonymity to plaintiffs in court rulings for personal injury claims. Prior to the reform’s implementation in August 2015, claimants who rejected settlement offers faced the risk that court proceedings would publicly disclose sensitive information reg...
There are competency requirements identified by the regulatory body that nurses must meet when they complete a preregistration programme. Subsequently, nurse educators must ensure that student nurses acquire and retain the relevant theory and practice of core clinical skills, to prepare them for registration. The teach...
Context: Attention bias to alcohol related cues has been implicated in the development and maintenance in problematic drinking behaviour. Research has demonstrated ‘alcohol attention bias’ (AAB) in subclinical drinking populations as well as problem drinkers, however this is not as firmly established in subclinical dri...
Prescribing errors in children are a major patient safety threat, which existing improvement efforts are struggling to tackle. This thesis contends that medical errors are a consequence of the complexity of modern healthcare and that to address them, much more needs to be known about their underlying causes. Using a la...
The globalisation of markets in recent decades, advances in information, production and communication technologies, as well as the declining costs of transportation and international trade, have contributed to the widespread emergence of small, resource-constrained firms that are found to internationalise shortly after...
The field of exoplanetary science, the study of planets around stars other than the Sun, has undergone rapid expansion over the last few decades, with over 4000 confirmed exoplanets now known. With a wealth of favourable targets identified, it has recently become possible to begin to characterise the atmospheres of the...
MIT Statistics and Data Science Center Director Alexander (Sasha) Rakhlin shares important considerations for departments and institutions.
By rethinking how large cloud computing systems operate, Associate Professor Christina Delimitrou seeks to make data centers more energy efficient.
As director, Bourg has focused on digital access, open and equitable scholarly publishing, and expanded support for data-intensive research.
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.
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