Deep learning is rapidly becoming an indispensable element in machine vision solutions. Its application is proving to be particularly useful for identifying objects and features in images. Deep ...

Nearly 50 new cancer therapies are approved every year. This is good news. "But for patients and their treating physicians, it is becoming increasingly difficult to keep track and to select the ...

eSpeaks’ Corey Noles talks with Rob Israch, President of Tipalti, about what it means to lead with Global-First Finance and how companies can build scalable, compliant operations in an increasingly ...

WEST LAFAYETTE, Ind. – Proteins are often called the working molecules of the human body. A typical body has more than 20,000 different types of proteins, each of which are involved in many functions ...

AI for Quality and Efficiency in Radiology Artificial intelligence (AI) is increasingly being leveraged in radiology to enhance image quality and streamline operations. In busy CT and MRI departments, ...

Regularization in Deep Learning is very important to overcome overfitting. When your training accuracy is very high, but test ...

Crop nutrition and quality formation are complex processes influenced by genotype, environment, and management practices.

Single-molecule magnets (SMMs) are exciting materials. In a recent breakthrough, researchers from TUS have used deep learning to predict SMMs from 20,000 metal complexes. The predictions were made ...

Max Delbrück Center for Molecular Medicine in the Helmholtz Association Altuna Akalin and his team at the Max Delbrück Center have developed a new tool to more precisely guide cancer treatment.