Some love it for its crispy golden crust, others for the fluffiness of its crumbs, but the French all agree that the baguette is their favorite loaf. Indeed it’s so embe…
During the pandemic, demand for local news has grown as people try to stay up to date. COVID-19 has also increased the financial challenges many of these news publishers face. It’s now more important than ever to support local news, and that’s why we are introducing the Digital Growth Program from the Google News Initiative (GNI), a free training program for small-to-medium sized news publishers. This will be available first in Europe, and will roll out to more regions in the coming months.
The GNI Digital Growth Program has been created to help establish and grow the online business of news publishers who have more recently started developing their digital platforms. We meet regularly with publishers of all sizes to hear how we can help them develop their products, expand their business and improve their readers’ online experience. Based on feedback from these conversations, we’ve designed workshops which cover the fundamentals of digital business strategy, audience engagement and revenue strategy.
In Europe, we have partnered with FT Strategies and Table Stakes Europe from WAN-IFRA to deliver in-depth labs, which include intensive training sessions and mentoring delivered over a number of weeks and months. As part of these labs, our partners will offer training from industry experts on a range of subjects, including change management, subscriptions and audience growth. While the training is free, spaces are limited and available upon application.
The GNI Digital Growth Program is available from today in six countries: Spain, the UK, Germany, Italy, Poland and France. It’s all in local languages, and many more countries to follow in the coming months. Publishers can sign up to a workshop or apply for a lab at the GNI Digital Growth Program page.
During the pandemic, demand for local news has grown as people try to stay up to date. COVID-19 has also increased the financial challenges many of these news publishers face. It’s now more important than ever to support local news, and that’s why we are introducing the Digital Growth Program from the Google News Initiative (GNI), a free training program for small-to-medium sized news publishers. This will be available first in Europe, and will roll out to more regions in the coming months.
The GNI Digital Growth Program has been created to help establish and grow the online business of news publishers who have more recently started developing their digital platforms. We meet regularly with publishers of all sizes to hear how we can help them develop their products, expand their business and improve their readers’ online experience. Based on feedback from these conversations, we’ve designed workshops which cover the fundamentals of digital business strategy, audience engagement and revenue strategy.
In Europe, we have partnered with FT Strategies and Table Stakes Europe from WAN-IFRA to deliver in-depth labs, which include intensive training sessions and mentoring delivered over a number of weeks and months. As part of these labs, our partners will offer training from industry experts on a range of subjects, including change management, subscriptions and audience growth. While the training is free, spaces are limited and available upon application.
The GNI Digital Growth Program is available from today in six countries: Spain, the UK, Germany, Italy, Poland and France. It’s all in local languages, and many more countries to follow in the coming months. Publishers can sign up to a workshop or apply for a lab at the GNI Digital Growth Program page.
If you don’t work for a cultural institution, you’ve probably never had the opportunity to wander all alone through a museum’s hallways, exhibition spaces and galleries, after hours, with no one else around. That’s a privilege usually reserved for staff—until now.
In the first installment of Google Arts & Culture’s new video series called “Art for Two”, curators from three cultural institutions are extending a special invitation to explore their collections, minus the crowds, as they discuss their favorite rooms and pieces with digital curators Mr. Bacchus and The Art Assignment.
Marco Guglielminotti Trivel, director of the Museo d’Arte Orientale meets digital curator Mr. Bacchus
Still itching to explore more? Another new series called “Perspectives” invites you to learn about important cultural destinations through the eyes and with the commentary of an inspirational guide. For the first edition, Grammy-nominated Indian-American artist Raja Kumari takes us on a personal ride to temples in India, including the famous Mahabalipuram—a cultural jewel and popular tourist destination, referred to as “Sculpture by the Sea.”
Travel isn't just about checking things off your bucket list. At a slow “couch travel” pace, Quiet Journeys, accompanied by the soothing sound of classical music, will help you relax and drift off into museums and masterpieces from all around the world.
Discover more on Google Arts & Culture—or download our free app for iOS or Android.
Machine learning is already revolutionizing the way we solve problems across almost every industry and walk of life, from photo organization to cancer detection and flood prediction. But outside the tech world, most people don’t know what an algorithm is or how it works, let alone how they might start training one of their own.
Parisian coder Emil Wallner wants to change that. Passionate about making machine learning easier to get into, he came up with an idea that fused his fascination with machine learning with a love of art. He built a simple, playful program that learns how to add color to black-and-white photos.
Emil used TensorFlow, Google’s open-source machine learning platform, to build the simplest algorithm he could, forcing himself to simplify it until it was less than 100 lines of code.
The algorithm is programmed to study millions of color photos and use them to learn what color the objects of the world should be. It then hunts for similar patterns in a black-and-white photo. Over time, it learns that a black-and-white object shaped like a goldfish should very likely be gold.
The more distinctive the object, the easier the task. For example, bananas are easy because they’re almost always yellow and have a unique shape. Moons and planets can be more confusing because of similarities they share with each other, such as their shape and dark surroundings. In these instances, just like a child learning about the world for the first time, the algorithm needs a little more information and training.
Emil’s algorithm brings the machine learning process to life in a way that makes it fun and visual. It helps us to understand what machines find easy, what they find tricky and how tweaks to the code or dataset affect results.
Thousands of budding coders and artists have now downloaded Emil’s code and are using it to understand the fundamentals of machine learning, without feeling like they’re in a classroom.
“Even the mistakes are beautiful, so it’s a satisfying algorithm to learn with,” Emil says.
