Defections, secret conversations, deal talks that fizzled and a battle for control: The turmoil at Thinking Machines Lab is the artificial intelligence industry’s latest drama.

A resilient data strategy must treat unstructured content not as archival noise but as a primary input into the enterprise ...

"If you look at the executive orders on AI, transparency and explainability are pillars. Government entities should be asking for that," Mike Shevlin said.

AI systems now operate on a very large scale. Modern deep learning models contain billions of parameters and are trained on ...

While AI can streamline certain parts of the scientific process, a philosopher argues that it cannot replace human expertise ...

Explore the top AIOps tools for enterprises in 2026, enhancing incident response and IT operations efficiency through ...

Nutshell reports that ethical AI practices in sales build customer trust through transparency, human oversight, and ...

Understand why testing must evolve beyond deterministic checks to assess fairness, accountability, resilience and ...

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 ...

No-Code/Low-Code Platforms: These are the stars of the show. They let you build AI features using visual tools, not lines of ...

The shift underway is far bigger than replacing manual steps. It’s a move from reactive, error-prone processes to proactive ...

For the first time, researchers have used machine learning—a type of artificial intelligence (AI)—to identify the most ...