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 ...
Implementing robust sensor security is essential in connected systems. Compromised sensors can feed corrupt, inaccurate data ...
By Norihiko Shirouzu July 1 (Reuters) - Autonomous-driving startup Wayve is riding a tide of investor interest. The ...
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 ...
France’s Safran.AI and Hemeria signed an MOU at Eurosatory 2026 to embed onboard machine learning in stratospheric balloons ...
Coastal and nearshore zones face growing pressure from storms, flooding, erosion, and sea-level rise, which threaten civil infrastructure such as ports, ...
McGill University researchers have developed a light-detecting nanoscale structure that mimics how a neuron processes ...
Initially focused on analyzing full-motion video collected by military drones, Project Maven applied machine-learning algorithms to identify objects, recognize ...
A novel machine learning algorithm retrieves remote sensing reflectance (Rrs) from Himawari 8 geostationary data at 10 minute ...