AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
Category
2,868 papers
It is concluded that autonomous UAV operations necessitate a fundamental shift toward Trustworthy and Explainable AI (XAI), coupled with high-fidelity digital twin validation, to guarantee system stability in safety-critical domains.
This narrative review provides insights into AIS in prosthodontics and their applications, which offer significant capabilities, such as in diagnostic and treatment planning support, optimisation of prosthetic design, improved efficiency of digital workflows and enhanced patient communication.
Examination of nurses' ethical awareness, attitudes, anxiety, and intention to use AI among 414 registered nurses in a large Middle Eastern healthcare organization supports targeted education and organizational strategies for responsible AI adoption in nursing practice.
Evaluating physiological consistency alongside predictive accuracy is essential for responsible clinical translation of DL-based BG forecasting, and PhyNet preserves accuracy while enhancing physiological fidelity, supporting safer integration into T1D technologies.
Reach audiences
Advertise in front of researchers, engineers, and readers.
Interestingly, these preliminary findings suggest that general-purpose models from whole slide images, focusing primarily in the stroma, can be used to extract tissue characteristics that may be otherwise unrealized from H&E images.
The increasing deployment of complex artificial intelligence (AI) models in critical applications necessitates methods for understanding and explaining their decision-making processes. Traditional model interpretability techniques often struggle to capture the underlying causal relationships driving model predictions,...
This paper explores a novel approach to interpreting deep learning models by integrating symbolic reasoning. Traditional deep learning models are often considered "black boxes," making it difficult to understand their decision-making processes. This work proposes a framework that combines the strengths of both deep lea...
This dataset contains 5,000 manually annotated Bangla-language text instances collected and curated for the detection of racism and body-shaming content on Bangla social media. It accompanies the paper "An Optimized Multi-Transformer Framework with Explainable AI for Racism and Body-Shaming Detection in Bangla Social M...
An important aspect of speaking performance is coping with unexpected communicative situations. This is particularly crucial in tourism English communication (TEC), where speakers often need to answer unexpected questions, provide quick information, introduce destinations, explain itineraries, and handle tourists’ prob...
The increasing deployment of complex artificial intelligence (AI) models in critical applications necessitates methods for understanding and explaining their decision-making processes. Traditional model interpretability techniques often struggle to capture the underlying causal relationships driving model predictions,...
The increasing deployment of Artificial Intelligence (AI) systems in critical applications necessitates methods for understanding and trusting their decisions. Traditional explainable AI (XAI) techniques often struggle to capture the complex, dynamic relationships within systems, particularly those evolving over time....
AI governance becomes difficult when the evidence behind a decision is distributed across provider policies, technical dependencies, internal controls, and changing system versions. This report explains how PALO and PolicyWatcher connect these elements in a workflow that supports accountable review. The first part intr...
A Blog post by Dharma-AI on Hugging Face
Research Manager Mike Walker reflects on a career spanning hacker culture, cybersecurity, and AI, sharing lessons about trust, teamwork, leadership, and why solving difficult problems requires curiosity, judgment, agility—and an understanding of the rules. The post Learn the rules: The hacker mindset appeared first on Microsoft Research.
GPT-Lab
· gpt-lab.eu
Nov 3, 2026
Is your company’s AI sovereign? A practical guide for CIOs on AI vendor lock-in, EU Data Act switching, cloud sovereignty, and testing your exit plan before you need it. The post Sovereignty Is the Option to Leave appeared first on GPT-Lab.
The MIT professors collaborated to identify the first AI-discovered antibiotic, a scientific breakthrough that is widely recognized as a milestone in AI-driven drug discovery.
Five MIT faculty members and two additional alumni are honored with fellowships to advance research on beneficial AI.
MIT professors Adam Berinsky and Chara Podimata discuss a new project to track how AI chatbots are responding to questions about the 2026 U.S. midterm elections.
We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.
