The world's first dataset aimed at improving the quality of English-to-Malayalam machine translation—a long-overlooked ...

The technological disparity between institutional high-frequency trading firms and retail aggregators has historically been defined by data latency and computational power. Plugsic addresses this ...

Enterprises can capitalize on composable infrastructure's modular design to boost IT flexibility, streamline resource allocation, and modernize operations. Key opportunities lie in leveraging AI for ...

Artificial intelligence (AI) is increasingly used to analyze medical images, materials data and scientific measurements, but ...

In Kenya, recent initiatives to modernise border processing are designed to reduce clearance times and make trade reporting ...

HGS launched AMLens, a next-generation, AI-powered solution designed to transform and accelerate Anti-Money Laundering (AML) ...

In a statement on its website [1], accounting software giant Xero announced that from 2 March 2026, its current “revenue share” model with ...

Abstract: This study focuses on the enhancement of loT networks with edge computing to process data in real-time as a solution to replace the current cloud models that would take time to manage large ...

By treating AI as an ever-evolving practice rather than a static system, AMLens directly addresses the pervasive industry issues of manual case resolution, alert fatigue, and regulatory alignment gaps ...

Abstract: The rise of multi-modal unstructured data has intensified the need for advanced processing solutions capable of deriving meaningful insights efficiently. UDNet emerges as a concurrent ML ...

Advanced AI technology delivers instant, accurate property comparables to automate due diligence for real estate ...