Abstract In an attempt to gain the decision advantage, military commanders in the contemporary decision space are facing increasing pressure to conceptualize information at speed. With the rapid proliferation of AI, the tech industry has pivoted to capitalize on the opportunity, and growing demand, to support commanders in their application of a craft ...
Colm Fahy +3 more
wiley +1 more source
Entropy-Regularized Hierarchical MARL for Resilient Moving Target Defense in Cyber-Physical Systems. [PDF]
Gharbi A, Alshammari A, Ben Halima N.
europepmc +1 more source
Enabling trustworthy agentic AI through blockchain technology
Abstract Agentic AI systems are increasingly capable of autonomous decision‐making and collaboration across distributed environments. However, existing frameworks largely assume trust among agents, without providing mechanisms for verifiable identity, behavioral accountability, or interaction transparency. This work proposes a blockchain‐based backbone
Nicolò Romandini +3 more
wiley +1 more source
Toward leveraging intrinsic point cloud features in 3D adversarial attacks. [PDF]
Naderi H, Dinesh C, Bajić IV, Kasaei S.
europepmc +1 more source
Privacy‐preserving multi‐agent systems for human‐centred inclusive healthcare AI
ABSTRACT Healthcare environments present uniquely demanding constraints for the deployment of artificial intelligence (AI). Clinical decisions of significant consequence are rarely the product of a single isolated computation; rather, safe and effective patient care relies on the continuous collaboration of distributed entities, including clinicians ...
Mufti Mahmud +14 more
wiley +1 more source
Machine learning we can trust: tensor algebra and the design of reliable foundation models
Abstract When an AI model answers our question, can we interrogate this particular answer and receive solid reasoning? Twenty‐four centuries ago, Socrates judged understanding not by how fluently someone spoke but by whether their claims survived questioning.
Grigorios G. Chrysos
wiley +1 more source
Evaluating the Adversarial Robustness and Clinical Safety of Quantized Hierarchical Transformers for Edge-Based Malaria Microscopy. [PDF]
Hasan U, Alghamdi TG, Nayeem MA.
europepmc +1 more source
Do Androids Dream of Electric Sheep? A Psychoanalytic Inquiry Into Large Language Models
ABSTRACT Large language models produce fluent, contextually appropriate language that invites the inference that something behind the output is thinking. The psychoanalytic theory of thinking, specifically the work of Wilfred Bion and Donald Winnicott read together, allows us to specify what thinking requires, what the LLM lacks, and what occurs when a
Mustafa Selek
wiley +1 more source
DeDiAttack: Enhancing Transferability of Unrestricted Adversarial Examples via Deformation-Constrained Diffusion. [PDF]
Qu B, Peng A, Zhao S.
europepmc +1 more source
From Executor to Orchestrator: The Pharmacology Scientist in the Age of Agentic AI
Drug development productivity has not improved despite five decades of computational advancement, with the probability that a compound entering Phase I achieving regulatory approval remaining near 10%. Each automation wave increased throughput while leaving the interpretive bottleneck intact; scientists continued to formulate questions, evaluate ...
Michael McCoy, Matthew McCoy
wiley +1 more source

