For metallic alloys in aerospace, machine learning can make the development of additive manufacturing (AM) processes both faster and cheaper. In collaboration with the University of Sheffield Advanced ...

In recent years, significant advancements in ML have influenced several fields beyond computer science, including autonomous driving, structural color design, medicine, and face recognition. The ...

In a new era of industrial revolution, intelligence is key. Knowing how product design can affect manufacturability or how production processes can affect finished quality helps manufacturers make ...

More aggressive feature scaling and increasingly complex transistor structures are driving a steady increase in process complexity, increasing the risk that a specified pattern may not be ...

Michigan Tech's advanced degree programs in Manufacturing Engineering meet industry needs and further your expertise in the field. Be equipped to continue accelerating the growth of innovative ...

The Individual Cup Control Gripper (ICC Gripper) leverages the intelligence of Plus One's PickOne vision software to grasp and singulate parcels using the optimal configuration of active suction cups.

Researchers at Korea University have developed a machine learning model for predicting sheet resistance in phosphorus oxychloride (POCl3) doping processes in solar cell manufacturing. “Our study aims ...

Researchers are leveraging machine learning to improve additive manufacturing, also commonly known as 3D printing. The team introduces a new framework they've dubbed the Accurate Inverse process ...

A case study in aerospace manufacturing provides an overview of how physics-informed digital twin systems transform robotics processes—from adaptive process planning and real-time process monitoring ...

If you’re looking for a job that blends practical and theoretical chemistry and enjoy the continual process of learning, improving, and evolving chemical and manufacturing processes simultaneously, ...