As organizations evolve, traditional data classification—typically designed for regulatory, finance or customer data—is being stretched to accommodate employee data. While classification processes and ...

Symmetry Systems, the Data+AI security company, today unveiled its AI-Powered Classification taxonomy that fundamentally transforms how organizations classify and secure sensitive data, as well as new ...

Beijing, Feb. 06, 2026 (GLOBE NEWSWIRE) -- WiMi Releases Hybrid Quantum-Classical Neural Network (H-QNN) Technology for Efficient MNIST Binary Image Classification ...

When AI models fail to meet expectations, the first instinct may be to blame the algorithm. But the real culprit is often the data—specifically, how it’s labeled. Better data annotation—more accurate, ...

Dr. James McCaffrey of Microsoft Research presents a full demo of k-nearest neighbors classification on mixed numeric and categorical data. Compared to other classification techniques, k-NN is easy to ...

When it comes to managing data, we need to know where it is – but we also need to know what it is. With the rise in regulatory controls, enterprises now pay more attention to data sovereignty, ...

Before using any tool with artificial intelligence capabilities, it is important to learn more about the technology that powers these innovative tools and about the university’s policies that govern ...

Joey D'Antoni details how organizations can use Microsoft Entra, Intune and Purview together to implement a layered Zero Trust approach that ties identity-based access decisions to device compliance, ...

Explainability-driven data resilience, the glue that binds these elements together, needs to become as standardized as audited financial statements, hitting metrics for key stakeholders that include: ...