AI fluency requires an alignment of toolset, skillset and mindset. The distinction between the business side and the tech ...

Reverse Logistics, Artificial Intelligence, Circular Economy, Supply Chain Management, Sustainability, Machine Learning Share and Cite: Waditwar, P. (2026) De-Risking Returns: How AI Can Reinvent Big ...

If that’s left you feeling a little confused, fear not. As we near the end of 2025, our writers have taken a look back over ...

Overview: Explains why generative AI needs a new approach to software testingLists top tools transforming QA automation and evaluationExamines how QA roles and ...

A new AI model predicts blood loss in high-volume liposuction with 94% accuracy, helping surgeons plan better, reduce risks, ...

With AI answer engines and natural language processing (NLP), the typical prompt is closer to 20 or 30 words long. To make it ...

Step aside, LLMs. The next big step for AI is learning, reconstructing and simulating the dynamics of the real world.

At the core of every AI coding agent is a technology called a large language model (LLM), which is a type of neural network ...

You might have seen headlines sounding the alarm about the safety of an emerging technology called agentic AI.

The achievement was made by uncovering and activating capacity that had always been there: Staff just couldn't see it until they implemented consistent processes and system-wide analytics.

3. Timeliness and currency: Outdated information undermines AI performance. In fast-changing fields, models that rely on ...