We study whether emotion-like internal variables arise without hand-coding in artificial networks, and whether affect-related representations share common geometric structure across systems. In a self-taught homeostatic reinforcement-learning agent - trained only with a well-being reward and no emotion labels or object...
Yusuf Asan· Zenodo (CERN European Organi...· 0 citations
This repository contains the source code and reproducibility materials associated with the Privacy-Preserving Federated Ensemble Optimization (PP-FEO) framework for intrusion detection in distributed Cyber-Physical System (CPS) environments. The implementation includes data preprocessing and feature harmonization, the...
Dhanalakshmi B, P Tamije Selvy· Zenodo (CERN European Organi...· 0 citations
ABSTRACT PurposeThis paper examines how AI and automation can reinforce existing institutional weaknesses when technological efficiency becomes disconnected from human realities, contextual judgment, ethical responsibility, and institutional coherence. It argues that the central challenge is not automation itself, but...
Taha Khan· Zenodo (CERN European Organi...· 0 citations
People increasingly take mental-health concerns to general-purpose AI chatbots. A first wave of safety research has begun to map LLM failure points in this context. When that work considers culture, it usually reads the problem as a lack of fit: if the model does not match the user, the fix is to make it match more clo...
Maya Low, Ian Gold, Sekoul Krastev· 0 citations
Reach audiences
Advertise in front of researchers, engineers, and readers.
The honey bee is a powerful model for studying visual cognition, yet the neuromodulatory mechanisms underlying visual learning remain poorly understood due to the reliance on free-flying paradigms that preclude neural interventions. Here, we used a closed-loop virtual reality (VR) system in which tethered bees walk on...
María Eugenia Villar, Deliane Bechar, Alexie Magitteri et al.· Communications Biology· 0 citations
REMP is proposed, a Transformer-based framework that integrates Role-Specific Experts with Multi-Scale Positional Encoding and uses Fourier feature mapping to alleviate spectral bias and capture fine-grained 3D spatial features that are critical for tactical maneuvering.
Qing-Lin Yang, Dao-Chun Li, Fei Li et al.· Journal of King Saud Univers...· 0 citations
Precision fermentation represents a frontier convergence of synthetic biology and process engineering, employing genetically modified microbial systems to biosynthesize tailored biomolecules—ranging from proteins, amino acids, and fatty acids to pigments, vitamins, and therapeutic intermediates. The integration of arti...
S. Padmavathy, R. M. Murugappan, J. Jenifer Annis Christy et al.· Artificial Intelligence and...· 0 citations
Precision fermentation represents a frontier convergence of synthetic biology and process engineering, employing genetically modified microbial systems to biosynthesize tailored biomolecules—ranging from proteins, amino acids, and fatty acids to pigments, vitamins, and therapeutic intermediates. The integration of Arti...
C. P. Shirley, Immanuel Johnraja Jebadurai, Getzi Jeba Leelipushpam Paulraj et al.· Artificial Intelligence and...· 0 citations
**There are now two papers in this zenodo record. One is the Discovery RL NS, the snd is/are the closed form solutions for NS used. This paper records the architecture and research history of a supervised white-box reinforcement-learning discovery program developed for the four alternatives A--D in the official three-d...
fredrick michael· Zenodo (CERN European Organi...· 0 citations
This chapter presents a comprehensive analysis of real-world case studies that demonstrate the impact of artificial intelligence (AI) and machine learning (ML) technologies on sustainable bioenergy production. Bioenergy demonstrates potential as a renewable energy source, particularly in the context of global efforts t...
Elakkiya Elango, N. Gnanasankaran, Sundaravadivazhagan Balasubaramanian et al.· Artificial Intelligence and...· 0 citations
This repository contains the source code and reproducibility materials associated with the Privacy-Preserving Federated Ensemble Optimization (PP-FEO) framework for intrusion detection in distributed Cyber-Physical System (CPS) environments. The implementation includes data preprocessing and feature harmonization, the...
Dhanalakshmi B, P Tamije Selvy· Zenodo (CERN European Organi...· 0 citations
System-one decision models — fast, non-generative networks that emit typed, calibrated probabilistic decisions for machine-to-machine pipelines, of which TypeSafe AI's Jev, trained by Reinforcement Learning for Calibrated Decisions (RLCD), is the announced instance — are audited by hop-level calibration on stationary h...
Anh Khoa Doan Ngoc· Zenodo (CERN European Organi...· 0 citations
Prabha Jha used her experience with MIT Open Learning’s program for senior executives to develop AI solutions for her employer, Verizon, and to write a book.
Assistant Professor Benjamin Lindquist studies how engineers deliberately injected randomness into early AI, giving rise to deep-learning models that sometimes hallucinate.
