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.
Microelectromechanical systems (MEMS) electrothermal actuators are widely used in applications ranging from micro-optics and ...
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 ...
Lithium-ion batteries have become the quiet workhorses of the energy transition, but the way they are designed and tested has ...
In an interview with Technology Networks, Dr. Daniel Reker discusses how machine learning is improving data-scarce areas of drug discovery.
A new tool to model peripheral nerve stimulation rapidly discovered optimal electrical waveforms (white traces) which, when delivered through the metal contacts of a cuff electrode placed on the vagus ...
Keeping high-power particle accelerators at peak performance requires advanced and precise control systems. For example, the primary research machine at the U.S. Department of Energy's Thomas ...