AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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2,450 papers
Healthcare is a domain where AI, and specifically, deep learning, has shown enormous promise. However, this domain also presents unique challenges in terms of safety, interpretability, and clinical integration. In this chapter, we review core neural architectures-convolutional networks, recurrent networks, graph neural...
High-intensity short-duration exercise relies predominantly on anaerobic metabolism, leading to rapid accumulation of hydrogen ions and metabolic acidosis, which impairs muscle function and performance. Acute respiratory alkalosis induced by voluntary hyperventilation (VH) has been proposed as a simple, non-pharmacolog...
This article explores the opportunities and challenges of knowledge exchange in East Africa around the societal implications of generative AI. These technologies’ capacity to work with and in certain African indigenous languages is increasing rapidly and generative AI is quickly becoming part of the region’s digital pl...
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Generative artificial intelligence (GenAI) systems are increasingly used by organizations to deliver information to consumers, patients, students, employees, and citizens. These systems can hallucinate, producing plausible but inaccurate responses. A central question for AI-advised decisions is therefore not only wheth...
The rapid integration of generative artificial intelligence into higher education has outpaced the development of pedagogical frameworks and institutional policies, raising fundamental questions about the purposes of education in an algorithmic age. Paulo Freire’s critical pedagogy offers a powerful lens for interrogat...
Model inversion attacks (MIAs) aim to reconstruct private images from a target classifier's training set, thereby raising privacy concerns in AI applications. Previous GAN-based MIAs tend to suffer from inferior generative fidelity due to GANs’ inherent flaws and biased optimization within the latent space. To alleviat...
This study proposes a transparent rule-based framework for estimating persistence, delegation-related lexical patterns, and refinement-related lexical markers without inferring psychological dependence in conversational generative models.
A new computational approach reveals how cells communicate to assemble into tissues. This could accelerate stem cell engineering, improve disease models, and inform therapies.
In a new book, Professor Eric So explores how the technology affects our thinking skills.
Earth AI
GPT-Lab
· gpt-lab.eu
Oct 14, 2026
AI is moving beyond impressive demos. After World Summit AI 2026 in Amsterdam, GPT-Lab's Muhammad Waseem reflects on what organizations need to make AI agents reliable, responsible and genuinely useful in everyday work. The post Building trustworthy AI: The role of AI harnesses, intent contracts and evals appeared first on GPT-Lab.
Learn how Google DeepMind and GovTech Singapore uses lightweight on-device Gemma models to intercept conversational scams in private chats with zero cloud data egress.
Professor Deb Roy contends there should be someone who is “answerable” for every piece of text in public life, no matter its origins.
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