When I joined Machine Design three years ago, my No.1 goal was to expand my knowledge of engineering best practices and its relationship to the manufacturing industry. To be successful, I would need ...

This paper comprehensively surveys existing works of chip design with ML algorithms from an algorithm perspective. To accomplish this goal, the authors propose a novel and systematical taxonomy for ...

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 ...

What draws someone with a degree in international business into the gritty, ever-evolving world of industrial automation? For Nikki Gonzales, director of business development at Weintek USA and the co ...

Until now, designing complex metamaterials with specific mechanical properties required large and costly experimental and simulation datasets. The method enables ...

Human-machine interfaces (HMIs) facilitate interaction between a human operator and a machine, allowing users to control machinery and receive feedback while ensuring smooth and efficient operation.

Simplified machine designs with fewer components run more efficiently and are less expensive to build. Older mechanical power transmission and actuator technologies, such as chain, rack and pinion and ...

A few months ago, my company, CrowdFlower, ran a machine learning competition on Kaggle. It perfectly highlighted the biggest opportunity (and challenge) with machine learning: What do you do with an ...

Artificial intelligence (AI) is trending globally in commerce, science, health care, geopolitics, and more. Deep learning, a subset of machine learning, is the lever that launched the worldwide ...