MUSCAT, FEB 23As Oman advances its ambitions under Oman Vision 2040, the spotlight is increasingly shifting from mere ...

Fintech operates under constant regulatory pressure. At the same time, competitive pressure demands speed, innovation, and intelligent automation. Risk and compliance systems sit at the...Read More ...

Cryptocurrency futures trading has become the primary driver of market liquidity, helping traders to speculate on price ...

A typical dilemma is a choice between two options. However, today’s innovators and CIOs face a different challenge of dealing with both probabilistic and deterministic code, not separately, but ...

He is talking about security and privacy. But he might just as easily be describing the quiet conviction — held now by a ...

Hive Auto Rigger now builds full joint based facial rigs in Maya, priced at 40 dollars for the first month.

Secure your MCP hosts with quantum-resistant identity and access management. Learn about lattice-based signatures, CRYSTALS-Dilithium, and 4D context-aware security.

Open source doesn’t guarantee responsible AI. But it increasingly makes responsible evaluation possible for smaller organizations.

There are three critical areas where companies most often go wrong: data preparation and training, choosing tools and specialists and timing and planning.

Let's discuss why AI-powered data management is becoming essential in industrial automation and how organizations can build it successfully.

AI safety tests found to rely on 'obvious' trigger words; with easy rephrasing, models labeled 'reasonably safe' suddenly fail, with attacks succeeding up to 98% of the time. New corporate research ...