AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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2,720 papers
A categorization of research tasks by perceived necessity and a boilerplate template capturing expected details is suggested, suggesting a categorization of research tasks by perceived necessity and a boilerplate template capturing expected details.
The Actionable Policy schema is presented, a YAML-based format for specifying what model responses can and cannot contain that enables exception-based policy governance, and a set of tools to help define the schema and enforce policy.
A Semantic Integrity Risk Score is proposed: a learned, generator-agnostic measure of the degree to which a record violates the functional and logical dependencies mined from trusted data, which is positioned as a practical, proactive complement to statistical monitoring rather than a replacement for it.
The results indicate the necessity of an epistemic filter in the DIKW pyramid, filtering information from its disorders (misinformation, noise, unverified or low-quality outputs) before it can be allowed to enter knowledge.
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AffAdapt is presented, a seamless interaction design framework for AI-personas, which coordinates streaming speech recognition, proactive turn-management, persona-grounded response generation, a persistent emotional state, and synchronized embodied output into a single interaction loop.
The Historical Grounding Ratio (HGR) is introduced, defined as the proportion of claim-bearing information units in a generated narrative that are supported by historical archives that are supported by historical archives, and offers an operational measure for comparing information-allocation strategies and their exper...
A comprehensive trading framework that incorporates state-of-the-art methodologies and algorithms to simulate the entire AI image trading process and supports multiple trading mechanisms, including Blind English Sealed-Bid Auctions (BESEA), fixed-price auctions with a first-come, first-served (FCFS) model, Dutch auctio...
The study contributes to information systems research by reframing AI readiness from a static resource inventory to an evolving organisational capability and offers managers a diagnostic logic for sequencing AI investments and avoiding premature scaling.
A detailed overview of the security risks associated with adversarial attacks is offered, including evasion attacks carried out at inference time, data poisoning that corrupts the training process, backdoor insertion that hides dormant triggers inside a model, and model inversion that leaks private information back out...
ProphDR is an interpretable deep learning framework that integrates multiomics data and drug structural information using a hierarchical attention mechanism, and generates biologically interpretable attention maps that highlight key pharmacophores and resistance-related genes consistent with established mechanisms in N...
It is argued that AI-driven “style replication” is fundamentally a negotiation of social relations, one that recentres platform power and reorganises the conditions of human-AI collaboration.
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
Professor Ali Jadbabaie describes how AI, digital transformation, climate change, and complex geopolitics are forcing engineers and policymakers to rethink how infrastructure is designed, built, and managed.
Prabha Jha used her experience with MIT Open Learning’s program for senior executives to develop AI solutions for her employer, Verizon, and to write a book.
A Blog post by Liquid AI on Hugging Face
In Compton Lecture, the distinguished legal scholar warns of potential “loss of the Enlightenment” while suggesting ways innovations can meet our civic and cultural needs.
Generative AI
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