In this week’s roundup, meet eight leading women in the field of artificial intelligence (AI), and a professor that is building an advanced machine learning (ML) system that understands and renders production processes and conditions as they happen. Learn how ML is being used to identify “superhard” materials more efficiently. Understand why managers should learn artificial intelligence and ML skills. And finally, create a festive Christmas song with a little help from ML.

8 Leading Women In The Field Of AI

By Rob Toews, contributing writer for

It’s no secret that the AI field is male-dominated, with only 12% of researchers being female. And this is a problem. AI is reshaping many aspects of our lives. Yet, it is being built by a group that does not fully represent the society that will be transformed. This article highlights several brilliant women at the forefront of AI today.


Machine Learning Boosts the Search For ‘Superhard’ Materials

by University of Houston, featured on

Superhard materials are in high demand for applications like energy production and aerospace. However, finding new materials has been difficult due to the trial and error nature of the process. Researchers have developed a machine learning model that can more accurately predict the hardness of new materials. This allows compounds suitable for use in a variety of applications to be found much more easily.


Enhancing Machine-Learning Capabilities In Oil And Gas Production

By Nancy Luedke, contributing writer for

An ML algorithm and an engineer can both scientifically predict if something will happen—like whether or not a bridge will collapse. The engineers can then explain why it will happen, but the ML algorithm cannot. A Texas A&M researcher is hoping to change this. Professor Akhil Datta-Gupta is participating in a multi-university and national laboratory project to create an advanced system that understands and renders production processes and conditions as they happen.


Create A Festive Song With A Little Help From Machine Learning Using ‘Blob Opera’ Just Released By Google

By Tanushree Shenwai, contributing writer for

In a festive and lighthearted application of machine learning, Google’s Blob Opera allows users to compose operatic Christmas songs that are sung by four on-screen colorful blob creatures. Users can program the singing blobs by dragging sliders for each blob for different parts of the score. The machine learning model then puts them together, making a harmonical composition performed by the blobs.  


Managers Should Learn A.I. and Machine Learning Skills, Too

By Nick Kolakowski, contributing writer for

Many might think that AI and ML applications live only in the domains of software developers and engineers. Not so. These skills are becoming increasingly important to everyone—including managers. AI tools can help automate tedious administrative work, offer insights from complex datasets, and help with internal-facing management tasks like handling employee questions. This frees up managers’ time to allow for greater focus on high-level tasks.



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