AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
Category
3,366 papers
The Robot Motion Framework is introduced, which combines modular robot hardware with a model-based toolchain consisting of a model database, a graphical modeling environment, and a model interaction language and is used in teaching MBSE and DSM concepts to aerospace engineering students at the University of Stuttgart.
In an evaluation on two PREEvision Electric/Electronic-architecture models using automatically derived questions, it is found that text embedding models are capable of capturing the semantics of model elements, however, they often only find anchor points in the model and struggle to retrieve all relevant model elements...
Generating metamodel-conforming instance models is a recurring task in Model-Driven Engineering (MDE), yet it remains tedious and tool-bound: instances are serialized as verbose, deeply nested XMI that today’s large language models (LLMs) cannot reliably produce or edit. We present AMIGO, a general, harness-agnostic ar...
This work investigates whether relational specifications can ground SLM behaviour by mathematical proof rather than statistical regularities alone, and gives practitioners a route to deploy verifiable SLMs in safety-critical settings.
Reach audiences
Advertise in front of researchers, engineers, and readers.
Together, these results suggest a practical division of labor: ALM rubrics are effective for broad perceptual qualities that are difficult to formalize, while specialized objective rewards remain preferable when reliable measurements are available.
Conformal Interval-Driven Self-Evolution (CISE) is proposed, which constructs candidate-specific reward intervals using conditional conformal inference and iteration-wise online density-ratio estimation and returns candidates only when all required property intervals lie entirely within their respective feasible region...
Video multimodal large language models (MLLMs) keep climbing video question answering benchmarks, yet shuffling the frames, masking the segment that supports the answer, or occluding the target object barely changes their predictions. The accuracy rests on appearance and language priors, not on the temporal evidence th...
🌟 Summary Version 8.4.173 adds native AMD Xilinx export for Versal AI Edge Series Gen 2 NPUs, opening a new path to deploy Ultralytics models on AMD edge hardware. 📊 Key Changes 🚀 New xilinx export format — Export models through AMD Quark to a quantized ONNX model and Vitis AI configuration. The format also accepts...
This Zenodo record is a permanently preserved version of a PREreview. You can view the complete PREreview at https://prereview.org/reviews/23132634. Thank you for this paper. You took 30 Korean-language artifacts (code modules, tutorials and presentation scripts, generated by Claude Opus 4.6) with 150 planted errors, a...
Big J v1.0 is a math engine with an English front end. It turns English into 27 numbers, runs one fused calculation on them, and answers in plain English built only from those numbers. No language model writes any reply, and the same input always gives the same answer. The fused calculation (one loop, 2000 steps): the...
AIproposesCodeVerifies is a local tool that checks whether a text rewritten or translated by an AI assistant preserves the data the user has chosen to protect. Principle: the AI proposes, the code verifies, the person decides. The tool compares the original text with the AI's proposal and detects certain classes of cha...
This Zenodo record is a permanently preserved version of a PREreview. You can view the complete PREreview at https://prereview.org/reviews/23129468. Summary This paper attacks what it calls the compliance fiction: the industry practice of treating regulatory conformity as a binary verdict declared at deployment time, w...
A Blog post by Liquid AI on Hugging Face
Genie 4: our new world model unlocking unprecedented realism in real-time simulation.
Generative AI
Assistant Professor Benjamin Lindquist studies how engineers deliberately injected randomness into early AI, giving rise to deep-learning models that sometimes hallucinate.
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
Flint-interactive gives AI agents a language for creating interactive visualizations. Click a chart, filter data, highlight related content, and explore beyond the view the author originally chose. The post Flint-interactive: A language for creating interactive data visualizations appeared first on Microsoft Research.
We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.
