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2,868 papers
Quasi-bound states in the continuum (quasi-BIC) dielectric metasurfaces provide exceptional control over subwavelength light–matter interactions. Although deep learning based inverse design alleviates the high computational costs of conventional optimization, its practical reliability is often hindered by the black-box...
Positive and negative attitudes toward AI were independently associated with e-HDL among adults, and AI attitudes may represent one of several factors associated with digital nutrition literacy, warranting further investigation in future studies.
Quasi-bound states in the continuum (quasi-BIC) dielectric metasurfaces provide exceptional control over subwavelength light–matter interactions. Although deep learning based inverse design alleviates the high computational costs of conventional optimization, its practical reliability is often hindered by the black-box...
Qualitative findings indicate that digital leadership supports institutional adaptation to technological change, while AI can improve learning effectiveness, administrative efficiency, and personalised learning when used ethically and purposefully.
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As artificial intelligence (AI) becomes ubiquitous, moving learners beyond foundational awareness toward higher-order AI literacy is increasingly essential. Automated AI tools prioritize high-level abstraction, risking “illusory competence” in which operational success masks conceptual misunderstanding. This study eval...
The findings show that interpretable machine learning can deliver reliable predictive performance even on small clinical datasets from resource-constrained settings, supporting proactive obstetric intervention and improved decision-making.
A machine may reason far beyond human ability, recognize that its own objective should be revised, and still continue pursuing it because that judgment has no governing authority. What does “superintelligence” tell us about such a machine? This paper distinguishes downstream capability—how effectively a system pursues...
The goal of this Systematic Literature Review (SLR) is to provide a full picture of the most recent academic articles on ML-based IDS, addressing important research questions about the most widely used algorithms, the types of attacks and network environments covered, the methodological problems that remain unsolved, a...
What this is. Toledo is the programme's single permanent home for equations and their machine checks: a public git repository (https://github.com/morrocwi/toledo) whose tagged releases are deposited under this concept DOI, an MCP server and CLI for lookup, a static read API and a public website (https://morrocwi.github...
The findings indicate that digital efficiency depends on alignment among user adoption, security, leadership, and automation and Agentic AI should be treated as a strategic enabler that requires governance and human oversight rather than as an independently validated driver of bank-level accounting efficiency.
This review considers how machine learning (ML), deep learning (DL), evolutionary optimization, reinforcement learning, and hybrid AI–mechanistic models can be utilized in municipal wastewater processes.
Abstract Digital therapeutics (DTx) represent an emerging category of evidence-based healthcare interventions that use software to prevent, manage, or treat diseases and disorders. Unlike conventional wellness applications, DTx are designed around therapeutic objectives and are expected to demonstrate clinical benefits...
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.
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