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Squid Game Dominates Global TV Scene per Wikipedia Trends

The new Korean TV series Squid Game has taken the world by storm and become a global breakout phenomenon. Netflix, its distributor, announced, “Squid Game has officially reached 111 million fans—making it our biggest series launch ever!” It’s topped the charts in 90 different countries, including the United States, and has been called “a word-of-mouth global sensation” that’s flooded the news and social media.
Vitaliy Kaurov, Director of Community Engagement
Announcements & Events

Microsoft, Wolfram and the Future of Computable Data

With the recent addition of Wolfram|Alpha knowledge to Microsoft Office 365, Wolfram has now delivered computational knowledge integration projects to four of the five biggest tech companies in the world. Products central to the business of these big companies, such as Apple's Siri and now Microsoft Excel, rely on Wolfram to deliver knowledge and computation, on demand and at scale.
Jon McLoone, Director, Technical Communication & Strategy
Current Events & History

Change Your Perspective on the History of Mathematics with These Eight Learning Journeys

Amid COVID’s first wave, I had the privilege to join forces with Eric Weisstein and his team at Wolfram Research to create the History of Mathematics Project, a virtual interactive gallery highlighting physical artifacts that are important to the history of mathematics, for the National Museum of Mathematics (MoMath) in New York City. Most of my mandatory confinement at home was spent navigating through online collections from world-class museums, locating outstanding mathematical artifacts and creating interactive and computational explanations for them.
Bernat Espigulé-Pons, OSW Operations
Education & Academic

Using Neural Networks to Boost Student Learning in Chemistry

I attended the Wolfram Neural Networks Boot Camp 2020, and that inspired me to incorporate elements of data science and machine learning in my course. The helper functions for machine learning make it quite easy to experiment and introduce such applications to students. We chose to perform image recognition and classification problems that are routinely used to initiate the topics of both neural networks and machine learning.
Arun Sharma, Guest Author
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