His research uses novel quantitative, automated, and machine learning methods to analyze non-traditional data sources such as audio (or speech) data and video data. Professor Dietrich’s work has ...

Solving life's great mysteries often requires detective work, using observed outcomes to determine their cause. For instance, ...

Preterm birth complications are the primary cause of death among children under age 5, and nearly 75% could be prevented with ...

A research team from the Aerospace Information Research Institute (AIR) of the Chinese Academy of Sciences has released ...

Companies desperately need AI talent across all industries, not just technology firms that beginners mistakenly think ...

Given today’s available local talent pool, biopharma companies are less likely to turn toward international job candidates, ...

Scientists have revealed that Convolutional Neural Networks (CNNs), a type of deep learning algorithm, demonstrate superior ...

Priya Ranjan works at the intersection of computational biology and bioinformatics, focusing on plant-microbe interactions, ...

More data leads to more precise answers, and the biopharma industry has at its disposal more data than ever before.

Most of us feel like we’re drowning in data. And yet, in the world of generative AI, a looming data shortage is keeping some ...

New research has underlined the surprising extent to which pervasive surveillance of people and their habits is powered by ...