AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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20,515 papers
Transformer Residual Activation Codebook Encoding (Trace), a framework that eliminates the received data downstream computation and enables communication--computation overlap and reduces a key latency bottleneck in distributed Transformer inference.
This study investigates whether Large Language Models, conditioned on physical diagnostic descriptions of simulation errors, can propose informative parameter updates more efficiently than conventional derivative-free optimizers, and introduces a hybrid workflow that uses the LLM as a warm-start, passing accumulated ev...
A conceptual framework linking data quality assurance, feature engineering, model training and reliability testing, and deployment to an agent population is proposed, closed by a cross-agent monitoring and feedback loop.
It is concluded that horizontally scalable, log-based messaging, combined with fault-tolerant, in-memory and micro-batch computation and durable, replicated storage constituted the technical foundation that made real-time, ML-driven enterprise analytics feasible within this period and that this layered architecture con...
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The ability to selectively eliminate pathogenic proteins rather than merely inhibit their activity has redefined contemporary drug discovery, positioning targeted protein degradation (TPD) as one of the most significant advances in chemical biology and precision therapeutics. By harnessing endogenous protein quality-co...
The increasing demand for renewable energy and the urgent need to mitigate climate change have driven global interest in bioethanol as a sustainable alternative to fossil fuels. However, reliance on edible feedstocks such as corn, sugarcane or wheat has proven unsustainable due to food-fuel competition. In contrast, se...
The rapid diffusion of generative artificial intelligence (GenAI) into higher education has created new opportunities for learning while also raising concerns about accuracy, academic integrity, digital inequality, and overreliance on automated outputs. This study examined awareness, utilization, challenges, and percei...
Since the release of ChatGPT in November of 2022, the role of generative artificial intelligence (GAI) systems in education has been a topic of discussion and debate at seemingly every level, be it international (UNESCO, 2024), national (Cardona et al., 2023), or school district (Seattle Public Schools, 2025). While th...
Abstract Public-sector building retrofits in the United Kingdom require decisions that balance whole-life cost, carbon reduction, service continuity and auditability under limited data and constrained capital budgets. This paper develops a decision-ready whole-life costing (WLC) workflow that integrates environmental,...
This paper investigates quantized mereology, which merges quantum information theory with classical mereology, the formal analysis of the part-whole relationship. It emphasizes that information about crisp mereological relations is captured by classical bits, whereas mereological vagueness involves the use of quantum b...
Recent developments in artificial intelligence, including the emergence of generative AI and large language models, have brought changes to user interaction habits as well as interface design. These emerging technologies can be integrated into digital art repositories to reshape interaction paradigms through content en...
Artificial intelligence (AI) claims in public markets increasingly raise disclosure, comparability, and investor-protection questions, yet evidence on how listed financial firms publicly describe implementation remains fragmented and difficult to compare. This study examines public technical disclosure rather than inte...
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
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