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xAI

Maker of Grok, distributed through X and a rapidly expanding compute footprint.

FedMediFormer-XAI: Federated Multimodal Transformers with Diffusion Augmentation and Graph-Based Drug Recommendation for Diabetes

poor explainability, and the lack of personalized therapeutic guidance. This research work introduces FedMediFormer-XAI, a unified and proper framework that incorporates federated learning, multimodal transformers, diffusion-based data augmentation

Elon Musk’s xAI sues Colorado over new rules for artificial intelligence

Elon Musk’s artificial intelligence company, xAI, has filed a lawsuit against the state of Colorado over a new AI law set to take effect in June. The suit seeks

Elon Musk merges SpaceX with xAI at $1.25tn valuation

Elon Musk’s aerospace company SpaceX has acquired his artificial intelligence business xAI, in a $1.25tn (£910bn) merger that consolidates part of Musk’s empire as SpaceX prepares

XAI-driven Data Mining for Self-defending IoT Systems: Enhancing Cybersecurity Transparency in the Age of Smart Cities

especially as regulatory and societal expectations move toward transparency and accountability. Although prior su… XAI-driven data mining applied to IoT ecosystems can detect anomalies and support automated security decisions

Advances in AI's Future in Toxicology: Integrating Computational Prediction and Clinical Translation Through Explainable Artificial Intelligence

their "black-box" nature, which reduces interpretability, transparency, and regulatory confidence. Explainable artificial intelligence (XAI) has emerged as a promising approach to address these challenges by revealing how input features

Explainable artificial intelligence techniques for interpretation of food models: a review

standards. However, this requires increasingly complex AI models, raising concerns. In response, eXplainable AI (XAI) has emerged to provide insights into AI decision-making, aiding model int… Explainable AI methods

Machine learning-integrated explainable artificial intelligence for survival prediction in urothelial carcinoma with enfortumab vedotin: an exploratory real-world analysis

advanced urothelial carcinoma (aUC), but outcomes vary. Machine learning (ML) with explainable artificial intelligence (XAI) may improve survival prediction. Methods Data from 544 aUC patients receiving EV after platinum chemotherapy

Explainable AI-Supported Cyber-Physical Collaboration for Sustainable Manufacturing in Industry 5.0

innovative approach to the sustainable manufacturing of industrial parts using an explainable artificial intelligence (XAI)- based cyber-physical collaboration system for Industry 5.0. Current cyber-physical human systems (CPHSs) have

Explainable artificial intelligence in medical imaging: how to interpret, evaluate, and use artificial intelligence explanations

help clinicians understand and evaluate AI predictions. This field, known as explainable AI (XAI), aims to help clinicians interrogate, interpret, and critically evaluate AI predictions by identifying factors associated with

A Review of Explainable Artificial Intelligence from the Perspectives of Challenges and Opportunities

The widespread adoption of Artificial Intelligence (AI) in critical domains, such as healthcare, finance, law