From fine-tuning open source models to building agentic frameworks on top of them, the open source world is ripe with ...

What is a predictive maintenance model and why did you build one? For decades after the global industrial boom, many industries relied on a simple rule: wait for a machine to break, then repair it.

Gas sensing material screening faces challenges due to costly trial-and-error methods and the complexity of multi-parameter ...

In most industries, maintenance is a waiting game. Things are fixed when they break. But in the 21st century, an age defined by data and automation, that approach no longer makes sense. The solution ...

(MENAFN- The Conversation) In most industries, maintenance is a waiting game. Things are fixed when they break. But in the 21st century, an age defined by data and automation, that approach no longer ...

One of the most difficult challenges in payment card fraud detection is extreme class imbalance. Fraudulent transactions ...

New Analysis Platform Explores Why Household Tasks and Physical Automation Require Embodied Intelligence Beyond Traditional Computer Approaches The next wave of AI is physical AI. AI that understands ...

Universities trained students to produce polished responses on demand. Then AI learnt the same trick. What now?

Insights emerging from a recent industrial AI forum, where Dayin Technology participated alongside leading experts, have brought renewed focus to the deepening divergence in U.S.-China artificial ...

NEWPORT BEACH, CA, UNITED STATES, January 13, 2026 /EINPresswire.com/ -- SuccessBooks® is excited to announce that Alan ...

(2026) AI Assisted Material Selection Framework for Corrosion Resistant Steels in Onshore Oil and Gas Pipelines. Open Journal ...