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

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 ...

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 ...

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 ...

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

Machine learning models are usually complimented for their intelligence. However, their success mostly hinges on one fundamental aspect: data labeling for machine learning. A model has to get familiar ...

In thinking about how so many of the recent events Machine Design has covered have focused on artificial intelligence, I can’t help but wonder how our readers might be using this technology in their ...

Chenbro (TWSE: 8210), a pioneer in the design and manufacturing of own-brand rackmount systems, is thrilled to unveil the SR215 tower server chassis, meticulously designed to meet diverse market needs ...

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.

Below is a curated list of machine learning development providers that stand out in 2026 for their ability to build enterprise-grade ML solutions tailored to complex business environments.