A new academic study is challenging one of the most widely criticized behaviors in modern AI systems, arguing that so-called “sycophancy” in chatbots is not simply a flaw but a structural feature with ...

In many production pipelines, RLHF (reinforcement learning from human feedback) is used as a structured governance mechanism that converts expert judgments into reward signals used to refine model ...

At its AGIBOT Partner Conference (APC) 2026, in Shanghai, AGIBOT made a clear statement about where robotics is heading: the industry is moving beyond experimentation and into large-scale, real-world ...

Feedback Loop Controller: When something goes wrong, a policy engine tells the pipeline what to do. For instance, it might tell it to stop deployment, roll back, or turn off a feature flag. Automated ...

AI regulations heavily scrutinise algorithms while blindly trusting the humans in the loop. To achieve systemic safety, we ...

On-site AI platforms combining rugged IPCs with purpose-built machine learning acceleration are giving machines the ability ...

A report looking at a system to extract themes from public consultations highlights human and LLM-based checks.

Unlike earlier digital transitions, AI-led adtech does not merely enhance efficiency—it redefines agency roles and campaign ...

Read more about AI, data, and digital twins are turning supply chains into self-adaptive, intelligent networks on Devdiscourse ...

Agentic AI is not a shortcut; it’s a new system of work. Enterprises that approach it with platform discipline aligning ...

The organizations most likely to shape the enterprise AI era are those that can embed intelligence directly into operational ...

The focus is shifting from deploying AI to making sure it delivers consistent, measurable outcomes in live environments.