It’s no secret the automotive sector is racing to find ways of tapping the potential of generative artificial intelligence (GenAI) to design and build the next generation of vehicles.

Robots do monotonous workflows and less pleasant, repetitive tasks with brilliance. Combined with image processing, they become “seeing” and reliable supporters of humans.

Artificial intelligence (AI) is everywhere—and that’s something to marvel at. AI is powering everything from advanced web searches to social media recommendations and video game design. But it could do infinitely more.

Imagine a manufacturing world where machines seamlessly collaborate with artificial intelligence (AI) to ensure flawless quality inspection. It’s a future that holds immense potential for revolutionizing the industry.

A leader in asset integrity management and inspection services, Kakivik Asset Management recently held an intro to phased-array class at its Anchorage, Alaska, office.

Active matter is any collection of materials or systems composed of individual units that can move on their own, thanks to self-propulsion or autonomous motion. They can be of any size—think clouds of bacteria in a petri dish, or schools of fish.

Pumping systems are critical to many manufacturing operations. Consequently, any errors with this equipment can be costly. So, it’s important to catch oddities as soon as they occur.

A team of scientists with the U.S. Department of Energy’s Oak Ridge National Laboratory (ORNL) has investigated the behavior of hafnium oxide, or hafnia, and its potential for use in novel semiconductor applications.

Adding legs to robots that have minimal awareness of the environment around them can help them operate more effectively in difficult terrain, my colleagues and I found.

You often hear about self-driving cars and their levels of autonomy. When can drivers completely remove their hands from the steering wheel? This also applies to robots. How can robots become fully autonomous?