In spite of this underperformance, the clinical-stage TechBio firm continues to attract interest for its innovative approach ...

Why it matters: Google is designing an operating system for embedded applications that runs machine learning algorithms. KataOS' main targets are security and privacy protection, working with open ...

The recent accelerations in healthcare are perhaps the best example of this. Over 90% of hospitals and healthcare systems now have an AI or automation strategy in place, up from 53% in 2019, and ...

The HPE Machine Learning Development System combines the HPE Machine Learning Development Environment with computing, accelerators and onboard networking to accelerate model development ...

Modular development focuses on separating the functionality of a program into independent building blocks that make up an executable application. WordPress and its near-endless repository of plugins ...

The potential for machine learning algorithms to accelerate drug formulation could reduce the time and cost associated with drug development, making promising new medicines available faster. Share ...

Please use one of the following formats to cite this article in your essay, paper or report: APA. Ryding, Sara. (2018, October 17). Machine Learning in Drug Development.

The DOE SC program in Advanced Scientific Computing Research (ASCR) hereby announces its interest in research applications to explore potentially high-impact approaches in the development and use of ...

Expert-guided machine learning breakthrough enhances fault diagnosis in operating particle accelerator superconducting RF cavities New superconducting RF fault classification system achieves 95% ...