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.

A novel remote inference capability places machine learning models at the assembly and test house, without any sensitive data leaving the assembly and test house. In semiconductor manufacturing, a low ...

Combining machine learning with multimodal electrochemical sensing can significantly improve the analytical performance of biosensors, according to new findings. Combining machine learning with ...

Researchers from Peking University have conducted a comprehensive systematic review on the integration of machine learning into statistical methods for disease risk prediction models, shedding light ...

The importance of digital tools and simulation for successful composite parts design is well established, whether for aircraft wings, automotive bumper beams or bicycle frames. Over the past decade, ...

SOPHiA GENETICS, the shoutily and poorly capitalized-named startup that’s combining machine learning tools for medical imaging and genetic sequencing to come up with a more holistic view of diseases ...

Finding medicines that can kill cancer cells while leaving normal tissue unscathed is a Holy Grail of oncology research. In two new papers, scientists at UC San Francisco and Princeton University ...

Creating smarter, more accurate artificial intelligence systems requires a hybrid human-machine approach, according to researchers. In a new study, they present a new mathematical model that can ...

Rational use of adjuvant anti-PD-1: Multi-omics model of recurrence in stage III melanoma. This is an ASCO Meeting Abstract from the 2025 ASCO Annual Meeting I. This abstract does not include a full ...

The Industrial Revolution and the subsequent industrial “revolutions” were characterized by groundbreaking advancements, like the steam engine or computers. Industry 5.0 is breaking the mold. It is ...