--- AUTHOR'S NOTE: These concepts are shared openly to inspire new perspectives and further research in theoretical astrophysics. This work is dedicated to the public domain.Everyone is completely free to utilize, build upon, or incorporate these ideas into their own research. The author wishes to remain anonymous. The...
Asgrim Mimersson· Zenodo (CERN European Organi...· 0 citations
The proposed ecosystem automaticallygenerates anonymized source code minimaps directly from files be-ing edited across different development environments and submitsthem to deep learning models previously trained on large-scaleminimap datasets containing hundreds of thousands of source coderepresentations spanning 10 p...
Munif Gebara Junior, Lucas Neo, Vitor Teodoro et al.· Zenodo (CERN European Organi...· 0 citations
This research presents a comprehensive framework for integrating Explainable Artificial Intelligence (XAI) into Intrusion Detection Systems (IDS) to address the critical challenge of AI model opacity in cybersecurity. Traditional AI-based IDS models function as "black boxes," limiting trust, accountability, and practic...
Muhammad Haris Khan· Zenodo (CERN European Organi...· 0 citations
This review critically analyzes recent ECG-based ML/DL models for CVD prediction, with particular attention to model performance, dataset characteristics, preprocessing strategies, and the integration of explainable artificial intelligence (XAI).
Sabit Ahamed Preanto, Md. Hasan Imam Bijoy, Tapon Paul et al.· Discover Artificial Intellig...· 0 citations
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The rapid advancement of artificial intelligence, particularly in large language models, has brought significant challenges in decoding methods that balance performance with interpretability. This paper presents a comprehensive analysis of advanced decoding techniques that enhance both model capabilities and explainabi...
Zen Revista, 10 IA· Zenodo (CERN European Organi...· 0 citations
This paper proposes a novel deep learning model incorporating symbolic reasoning for enhanced visual understanding. The core idea is to bridge the gap between deep learning's ability to extract intricate visual features and symbolic reasoning's capacity for logical deduction. The model consists of two key components: a...
Jincheng Zhang· Zenodo (CERN European Organi...· 0 citations
The growing complexity of contemporary software systems has intensified the need for intelligent and dependable techniques capable of identifying defects early. Conventional machine learning models often face limitations when handling high-dimensional code metrics, class imbalance, and limited interpretability, thereby...
Yousef Sanjalawe, Salam Al-E’mari, F.M.A. Salam et al.· International Journal of Com...· 0 citations
Managers working in project-based and operational environments increasingly make decisions using large volumes of heterogeneous information. Although access to information is generally expected to improve decision quality, research across operations management, information systems, accounting, organizational behavior,...
Sergey Kutukoff· Zenodo (CERN European Organi...· 0 citations
Article Description REVIEW ARTICLELimnology and the Living Systems of Inland Waters A Review of Ecological Processes, Human Pressures, and Pathways for ProtectionBy: Gamal E.O. Elhag-Idris CMOS Accredited Consultant | MSc (AI), BSc, C.Chem, MCICFreshwater is more than a resource: it is part of a living and interconnect...
The use of artificial intelligence in human resource management (AI-HRM) is expanding across recruitment, performance management, workforce analytics, and employee retention. Although AI-HRM may improve processing speed and standardization, opaque automated systems can make it difficult for employees to understand, que...
Lovelyn Omoighe· Zenodo (CERN European Organi...· 0 citations
---_THE ORPHAN UNIVERSE THEORY - A Descending Detached Chain of Creation__By Subhrendu Chakraborty — 2026__ORCID: 0009-0000-9610-0118__Independent Researcher, Kolkata, India_ _THE QUESTION:_We explain humans by parents, parents by their parents, back to fish, to bacteria. But where does this chain stop for the universe...
Subhrendu Chakraborty· Zenodo (CERN European Organi...· 0 citations
With the growing importance of Artificial Intelligence (AI) in academic life, it is increasingly necessary to understand the impact of this technology on research activities, yet the quantitative relationships between the use of these tools and research productivity in university settings have not been sufficiently qua...
Asma Atta, Hafiz Kosar· The social science· 0 citations
AI agents can generate code at a scale that’s hard for humans to review line-by-line. PDD Kit helps ensure the code is doing what the developer intended by creating formal specifications and testing against them. It converts developer intent into a Verus specification, proves AI-generated code meets it for every input, and uses tests where proofs aren't practical. Developers review intent, not every line. The post Formally verifying agent-written full-stack web apps with PDD Kit appeared first o…
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.
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.
MIT News · Artificial Intelligence· news.mit.eduNov 2, 2026
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.
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