New foundational AI models are accelerating advancements in biomedical research, according to a speaker at Cleveland Clinic’s ...

Conversely, some models, such as structural equation models, use item-level data and incorporate the measurement model and discrepancy model into one analysis (Newsom, 2002). The scope of this ...

One way to prepare these informed decisions is to consistently apply the principles of model-based systems engineering (MBSE) in system development. This term has been used in the field of software ...

Better data annotation—more accurate, detailed or contextually rich—can drastically improve an AI system’s performance, adaptability and fairness.

Creators of the OpenEvidence AI data aggregation tool have partnered with the New England Journal of Medicine to provide 35 years’ worth of its published content to inform the platform&rsquo ...

Qlik launches Open Lakehouse, a fully managed Apache Iceberg solution built into Qlik Talend Cloud.

What is Model Context Protocol? The emerging standard bridging AI and data, explained MCP is the key to unlocking AI's full potential in the enterprise, the cloud, and beyond. Here's why.

As artificial intelligence (AI) continues to expand at a fast pace, data centers needs to evolve to handle its demands. AI data centers are designed to support complex AI workloads, while traditional ...

Real data is not sufficient to train better artificial intelligence models, experts said at South by Southwest. But simulated data must be done right.

Inception, a startup, claims to have developed a novel type of AI model based on a diffusion architecture.