This framework outperforms previous supervised multi-omics integration baseline approaches based on glioma and Wilms tumor cohorts and enables GNN model explainability via Shapley value-based feature attribution approaches to explain the contributions of gene-level features across various biomedical tasks, including cl...
Z. Shi, A. Budhkar, W. Amin et al.· medRxiv· 0 citations
FedShield-IDS is proposed, a novel federated intrusion detection framework that integrates a hybrid one-dimensional Convolutional Neural Network with Long Short-Term Memory units to simultaneously capture spatial traffic fingerprints and long-range temporal attack dynamics across IoT edge devices.
Ghada Abdelhady, Karim Wael Hussein, Islam Anwar Ali Gad· Scientific Reports· 0 citations
This survey reviews deep learning architectures for transaction and financial fraud detection published strictly after 2024, using the Multi-task CNN Behavioural Embedding Model (MTCNN) proposed by Qu et al.[1] in 2024 as a conceptual anchor rather than as one of the post-2024 studies under review. MTCNN's core ideas —...
Dr. S. Jeyalaksshmi2 Ms. S. Jayanthi1*· World Journal of Pharmacy an...· 0 citations
This survey reviews deep learning architectures for transaction and financial fraud detection published strictly after 2024, using the Multi-task CNN Behavioural Embedding Model (MTCNN) proposed by Qu et al.[1] in 2024 as a conceptual anchor rather than as one of the post-2024 studies under review. MTCNN's core ideas —...
Dr. S. Jeyalaksshmi2 Ms. S. Jayanthi1*· World Journal of Pharmacy an...· 0 citations
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uptake of generative AI may have influenced health administration, workflow, electronic charting, disease interrogation for information and learning, utility of AI or the notion of autonomous microsurgery is still somewhat remote. 4 Is it thus time to revisit the role of machine advances with digital innovation, AI and...
Sanju Lama, Hani J. Marcus, Garnette R. Sutherland· Frontiers in Robotics and AI· 0 citations
Generative Systems Theory is a foundational inquiry and metaphysics concerning systems theory and complexity science. It focuses on how concepts regarded as basic elements—such as nodes, relations, compatibility, attractors, information, and so on—come into being in the first place, and on what grounds they can be said...
Lucas Li· Zenodo (CERN European Organi...· 0 citations
A structured view of current advances, persistent gaps, and future directions in AI-enabled pharmaceutical innovation is offered, showing growing convergence between AI and precision therapeutics, but real-world application demands robust validation, collaboration, explainable AI, and global standards.
M. Fareed, S. Shityakov· Quantum Machine Intelligence· 0 citations
Two AI systems can reach the same scientific conclusion for different reasons: one may generate the candidate sooner, another may check it more cheaply, and a third may obtain decisive evidence earlier. An end-to-end score records success while hiding which interface made success possible, which resource an interventio...
Alex Li· Zenodo (CERN European Organi...· 0 citations
This article presents a narrative review of Explainability and Interpretability of Black-Box Models in the context of Artificial Intelligence. The literature on this topic has expanded substantially over recent decades, yet it remains fragmented across subfields, methods, and national research traditions. Drawing on an...
Zen Revista, 10 IA· Zenodo (CERN European Organi...· 0 citations
The increasing biological complexity and heterogeneity of cancer have driven a shift in oncology drug discovery from single-target approaches toward system-level strategies capable of capturing multilayered disease regulation. Multi-omics technologies, including genomics, transcriptomics, proteomics, metabolomics, epig...
Deval Koshti, N. Khandale, Jignesh Shah et al.· AAPS PharmSciTech· 0 citations
A robust and explainable cybersecurity framework for IoV in IIoT Cyber-Physical Systems (CPS) is proposed, in which implementation and validation using the RT-IoT2022 (Real-Time Internet of Things) dataset is performed.
T. Zhukabayeva, Zulfiqar Ahmad, N. Karabayev et al.· Discover Artificial Intellig...· 0 citations
This work distil ten recurring gaps into an impact-feasibility matrix and proposes EPA-CarbonNet, a six-layer architecture that fuses market series with policy text by cross-attention and calibrated intervals alongside policy-attributed explanations.
Summaiya Unnisa Begum, Mohammed N. Ullah, Mohammed Abdul Ghani Khan· 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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