Research authored by partners from the Bottle Consortium and published in Nature Communications this month aims to challenge ...

Microelectromechanical systems (MEMS) electrothermal actuators are widely used in applications ranging from micro-optics and microfluidics to nanomaterial testing, thanks to their compact size and ...

Researchers claim model can cut years from testing cycles Scientists have developed a machine learning method that could dramatically slash the cost and energy required to develop new lithium-ion ...

Ansys SimAI is a physics-agnostic and cloud-enabled computer-aided engineering tool that predicts performance of complex simulation scenarios. The game-changer? Engineers train their model and use it ...

Interview Kickstart today announces the publication of its comprehensive career guide titled "How to Transition from Software Engineer to Machine Learning Engineer," a detailed resource created to ...

Machine learning algorithms that output human-readable equations and design rules are transforming how electrocatalysts for ...

The search space for protein engineering grows exponentially with complexity. A protein of just 100 amino acids has 20^100 possible variants-more combinations than atoms in the observable universe.

Machine vision is the focus of Machine Design’s Takeover Topic Event (Aug. 12-16, 2024). Covering the gamut of vision systems, the lineup includes case histories, trends and interviews with notable ...

What if the skills you choose to learn today could determine your career trajectory in 2025? The field of machine learning is evolving at a breakneck pace, and with it comes a growing demand for ...

Machine learning, a key enabler of artificial intelligence, is increasingly used for applications like self-driving cars, medical devices, and advanced robots that work near humans — all contexts ...