If your AI feels slow, expensive or risky, the problem isn’t the models — it’s the data, and cognitive data architecture is ...

Researchers at Tsinghua University developed PriorFusion, a unified framework that integrates semantic, geometric, and ...

In the age of AI, money needs identity. How World and stablecoins are building the boring infrastructure to separate humans ...

1. Risk: AI Monoculture (Shared Blind Spots). This is the most critical and overlooked systemic vulnerability. Building your ...

Agentic artificial intelligence (AI), sovereign AI, and stronger governance frameworks, coupled with measurable business outcomes, will be the defining AI trends in 2026, according to Dell ...

In a CiOL interaction, Superteams.ai Founder Soum Paul breaks down enterprise AI adoption, fractional AI teams, governance ...

It is crystal ball gazing time, and who better to talk about what technology trends will emerge next year than a senior leader from Dell?

Overview: Prior knowledge of the size and composition of the Python dataset can assist in making informed choices in programming to avoid potential performance ...

This study provides important evidence that negative affect is associated with slower cognitive processing in daily life, with findings replicated across three independent samples and supported by ...

As AI-native infrastructure takes shape, enterprises are redesigning computing, data, and networking foundations to move ...

Data is extracted from African populations, African languages are absorbed into global training corpora, and African problems ...

With AI ambitions outpacing data readiness, CIOs must renovate their data strategies to create unified, AI-ready foundations ...