These days, summer in the city — any city, or pretty much anywhere — often means temperatures in the 90s with a heat index over 100. Not a time when you want an unexpected air conditioner failure. To ...
Questar analyzed a large mixed-class fleet and discovered it was wasting as much as $30 in fuel per vehicle, per day, because of mechanically degraded aftertreatment systems.
Africa's mobile operators are deploying AI across a growing range of internal functions — including predictive maintenance, ...
Aerospace and Mechanical Insider on MSN

AI and machine learning transform materials testing

Materials testing remains a cornerstone of engineering and manufacturing, ensuring that components and structures—from ...
The utility industry is on the cusp of transforming how it monitors, maintains and secures critical infrastructure. Specifically, we’re seeing them move from reactive electric grid maintenance to ...
Hidden Markov Models (HMMs) provide a probabilistic framework to model systems with unobserved (hidden) states using observable signals, enabling predictive maintenance algorithms to infer machinery ...
2025 will be remembered for many things, but there's no doubt that the widespread adoption of artificial intelligence by non-tech people will be one of them — including in the truck maintenance shop.
As of 2025, AI-powered vehicle fault prediction systems have become a defining force in the automotive industry. With cars growing more complex and powertrains diversifying across gasoline, electric, ...
From predictive maintenance and dynamic pricing to airport automation, AI is changing the airline industry in many ways. Will ...
In an industry where operational efficiency is measured in minutes and margins, the potential of artificial intelligence to streamline airline maintenance logistics is more than an optimization ...
AI/ML enables better energy planning, including precise calculations to optimize the power mix as well as timing to garner financial incentives. Source: Emerson 72% of manufacturers using AI to reduce ...