Microelectromechanical systems (MEMS) electrothermal actuators are widely used in applications ranging from micro-optics and ...

Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...

Accurately tracking atmospheric greenhouse gases requires not only fast predictions but also reliable estimates of ...

RnD® platform connects targets, compounds and authenticated human cell models to reduce manual searching and enable ...

While it’s easier than ever to deploy automation, it’s much harder to ensure those early investments won’t hold a company back as it scales.

The environment already reflects a slowdown in growth expectations and software has been feeling it for years. Retention and ...

New analysis explains why Prosper’s macro forecasts often signal economic shifts weeks or months before prediction ...

Orbital-free approach enables precise, stable, and physically meaningful calculation of molecular energies and electron densities By applying new methods of machine learning in quantum chemistry ...

Insulin resistance - when the body doesn't properly respond to insulin, a hormone that helps control blood glucose levels - ...

A powerful artificial intelligence (AI) tool could give clinicians a head start in identifying life-threatening complications after stem cell and bone marrow transplants, according to new research ...

ADM, Evolving Systems’ big data platform, securely stores and analyzes massive telecom data, from billing to network reports, providing the foundation for AIQ’s predictive insights. Together, ADM and ...

Read more about how machine learning and deep learning differ, where each is used, and how businesses choose between them in ...