Over the past decades, computer scientists have developed many computational tools that can analyze and interpret images. These tools have proved useful for a broad range of applications, including ...

His work reflects how AI-native platforms address singular challenges in financial data handling, fraud detection, and risk ...

As technology continues to reshape the insurance and reinsurance industry, companies must adapt by differentiating with AI, navigating capital ...

Many more data breaches at the MoD's Arap programme to relocate at-risk Afghan citizens to Britain have emerged following an ...

Courts and regulators are signaling that a company’s duty to explain automated decisions is rapidly becoming a standard ...

Griffiths joins Seekr from SymphonyAI, where he led sales efforts across energy, telecom, life sciences, and manufacturing. His appointment supports Seekr's continued growth, driven by the high ...

Financial AI is often criticized for being biased—rejecting loans based on gender or credit reputation by ethnicity, or geography. Causal AI eliminates these filtered-out non-causal predictors, ...

Volume 33 of SLAS Technology, includes one literature highlights column, eight original research articles and four Special ...

These guardrails ensure AI systems remain ethical, explainable, and aligned with enterprise priorities. Data-driven culture ...

Today, CSA is releasing the official mapping of the AI Controls Matrix (AICM v1.0) to ISO/IEC 42001:2023—with companion ...

As customer expectations evolve, businesses are seeking more advanced AI solutions that can bridge the gap between automated ...