Artificial intelligence (AI), particularly deep learning models, are often considered black boxes because their ...
Abstract Deep learning models have been successful in many areas, but understanding their behavior remains a challenge. Most prior explainable AI ...
Cognitive computing represents an innovative frontier within computer science, merging artificial intelligence, machine learning, and computational ...
What will shape enterprise data in 2026? We look at insights from Bloomberg’s Enterprise Data & Tech Summit in London on themes such as interoperable cloud infrastructure and governed data frameworks.
Boreal restructures unstructured text into a verifiable knowledge graph, checks answers against source material, and records its reasoning for an auditable trail, pairing precision with an ...
So, artificial intelligence, or AI, is a big deal right now. Everyone’s talking about it, and companies like Bloomberg are ...
Explainable AI (XAI) exists to close this gap. It is not just a trend or an afterthought; XAI is an essential product capability required for responsibly scaling AI. Without it, AI remains a powerful ...
Forbes contributors publish independent expert analyses and insights. Gary Drenik is a writer covering AI, analytics and innovation. AI rarely fails because of bad models alone. More often it fails ...
No-Code/Low-Code Platforms: These are the stars of the show. They let you build AI features using visual tools, not lines of ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback