Inogic has introduced three AI-powered solutions for Microsoft Dynamics 365 CRM to strengthen predictive analytics, intelligent document search, and context-aware recommendations. Using Azure Machine ...

Recent research is advancing seismic hazard modeling through AI-driven soil liquefaction prediction, interpretable machine learning, physics-based simulations, and waveform-based probabilistic ...

Scientists say they've made a key breakthrough that would allow robots to figure out complex tasks on their own, but experts ...

The increasing complexity of digital ecosystems and the rapid evolution of cyber threats demand intelligent, transparent, and adaptive security solutions.

Discover how explainable AI enhances Parkinson’s disease prediction with improved accuracy and clinical interpretability.

Jonathan D. Uslaner and Matthew Goldstein of Bernstein Litowitz Berger & Grossmann LLP examine the proposed new Federal Rule ...

NetraMark Holdings Inc. (the “Company” or “NetraMark”) (TSX: AIAI) (OTCQB: AINMF) (Frankfurt: PF0) , a premier artificial intelligence (AI) company transforming clinical trials with AI-powered ...

The Clinical Decision Support System Market Size is expected to be worth around US$ 16.2 Billion by 2034 from US$ 5.8 Billion in 2024.

Explore the 10 best generative AI courses to take in 2026, with options for hands-on training, certifications, and practical ...

This study highlights the potential for using deep learning methods on longitudinal health data from both primary and ...

This article examines the work of data scientist Sai Prashanth Pathi in AI for credit risk, focusing on explainable machine ...

Abstract: Urban resilience modeling often falls short in delivering interpretable, transferable, and cascade-aware predictions under constrained data regimes. Existing frameworks typically neglect the ...