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 ...
Wildfires are becoming more frequent and more intense worldwide. Fires often become infernos because of heat, drought and wind, especially in the summer. The problem is compounded by the climate ...
Wayve, a London-based innovator, is transforming the landscape of autonomous driving with its cutting-edge AI-driven machine ...
Implementing robust sensor security is essential in connected systems. Compromised sensors can feed corrupt, inaccurate data ...
Front and center at Automate 2026, machine vision solution suppliers showed how vision systems are foundational to industrial automation. Explore some of the products ...
Leaf functional traits—chlorophyll (CHL), carotenoid (CAR), equivalent water thickness (EWT), nitrogen (N), and leaf mass per ...
Live demo turns wrist muscle signals into real-time 3D hand digital twins and gesture-to-text commands — creating an on-device human-intent data ...
Coastal and nearshore zones face growing pressure from storms, flooding, erosion, and sea-level rise, which threaten civil infrastructure such as ports, ...
France’s Safran.AI and Hemeria signed an MOU at Eurosatory 2026 to embed onboard machine learning in stratospheric balloons ...
McGill University researchers have developed a light-detecting nanoscale structure that mimics how a neuron processes ...
What separates an AI camera from a standard backup camera? John Deere answers that question and many more in this Q&A.