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.

Lithium-ion batteries have become the quiet workhorses of the energy transition, but the way they are designed and tested has ...

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 ...

The International Conference in Optimization and Learning (OLA2024), organized by RIT (Croatia) and the University of Lille (France), focuses on the future challenges of optimization and learning ...

By applying new methods of machine learning to quantum chemistry research, Heidelberg University scientists have made significant strides in computational chemistry. They have achieved a major ...

Researchers have used machine learning to design nano-architected materials that have the strength of carbon steel but the lightness of Styrofoam. The team describes how they made nanomaterials with ...

(Nanowerk News) Researchers at the University of Toronto’s Faculty of Applied Science & Engineering have used machine learning to design nano-architected materials that have the strength of carbon ...

Machine learning is often hailed as the universal solution for marketing challenges for SaaS (software as a service) businesses. Saving time on complex tasks? No question. Boosting conversions in ...

Historically, omnichannel software solutions were not capable of optimization. This meant that retailers were not maximizing their profitability. That is changing. Omnichannel refers to the ability of ...