Recent multimodal large language models (MLLMs) have achieved remarkable performance on visual question answering (VQA) and multimodal reasoning tasks. But one overlooked failure case stubbornly persists: when answers require simultaneous synthesis of evidence from natural images, free-form text, and structured tables,...
Babasaheb Satpute, Wasudeo P. Rahane, Rashmi B. Kale et al.· Scientific Reports· 0 citations
T his chapter covers the use of all the artificial intelligences (AIs) explained so far (except Brisk Teaching), to demonstrate how teachers can combine them to create any type of educational document, regardless of its application or subject.
Florentino Blas Fernández Cueto· Practical Applications of Ar...· 0 citations
Cognitive health is not governed by the brain in isolation; it is actively co-regulated by the gut–brain–microbiome axis. This work argues that microbial composition and function are not passive correlates of brain health but causal drivers of neuroplasticity, neuro-inflammation, and long-term cognitive resilience. Tri...
Ravleen Singh, Pawan Parihar, Santosh Kumar Henge et al.· Brain Health and Lifestyle· 0 citations
Este repositorio recoge el código desarrollado para mi Trabajo de Fin de Grado (TFG) en Física en la Universidad Europea de Madrid. Este código da soporte a los experimentos y resultados presentados en el mismo. El código está desarrollado en el entorno de Google Colab y utiliza Qiskit y técnicas de Machine Learning pa...
Hugo Neira Voces· Zenodo (CERN European Organi...· 0 citations
Version 6.4.5 makes the one-page methodology overview readable. In v6.4.4 the figure was 1999 pixels compressed into a 6.6-inch text column — about 303 dpi, roughly 4-point type — and was attached separately, so the record opened on the image rather than the paper. Here the figure is given its own landscape page at ful...
Nicolas Waern· Zenodo (CERN European Organi...· 0 citations
AI-based brain magnetic resonance imaging (MRI) classifiers face a persistent gap between laboratory performance and clinical deployability. We argue the bottleneck is not model architecture but the absence of principled data management infrastructure. Drawing on our ongoing work in explainable multi-disease MRI classi...
Tanmoy Debnath, Miroslaw Narbutt, Katarzyna Anna Kazimierczak· Charles Sturt University Res...· 0 citations
This research is motivated by the increasing complexity of chemical processes and the growing demand for robust, non-invasive monitoring and control solutions in the context of the ongoing digitalization of the chemical industry. Many critical aspects of chemical processes, such as phase behavior, flow patterns, and fo...
This working paper argues that AI-native delivery compresses only the final stage of a six-stage chain running from an institution's covenant with those it serves to running software, so that by Amdahl's law the constraint moves upstream into how organisations form, prioritise, and preserve intent. It introduces intent...
Sanjeet Kumar· 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 digital landscape is undergoing a seismic shift, moving beyond the era of simple data storage into an age where the true value of information lies in its ability to forecast the future. AI-Powered Predictive Analytics for Intelligent Decision Support Systems is designed as a comprehensive guide to navigating this t...
Mr PRAVEEN NAINAR BALASUBRAMANIAN, Dr A ANANTHI CHRISTY, Dr A K DASARATHY et al.· Zenodo (CERN European Organi...· 0 citations
The digital landscape is undergoing a seismic shift, moving beyond the era of simple data storage into an age where the true value of information lies in its ability to forecast the future. AI-Powered Predictive Analytics for Intelligent Decision Support Systems is designed as a comprehensive guide to navigating this t...
Mr PRAVEEN NAINAR BALASUBRAMANIAN, Dr A ANANTHI CHRISTY, Dr A K DASARATHY et al.· Zenodo (CERN European Organi...· 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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