In research published in Science today, Google DeepMind’s model, GraphCast, was able to predict weather conditions up to 10 days in advance, more accurately and much faster than the current gold standard. From a report: GraphCast outperformed the model from the European Centre for Medium-Range Weather Forecasts (ECMWF) in more than 90% of over 1,300 test areas. And on predictions for Earth’s troposphere — the lowest part of the atmosphere, where most weather happens — GraphCast outperformed the ECMWF’s model on more than 99% of weather variables, such as rain and air temperature. Crucially, GraphCast can also offer meteorologists accurate warnings, much earlier than standard models, of conditions such as extreme temperatures and the paths of cyclones. In September, GraphCast accurately predicted that Hurricane Lee would make landfall in Nova Scotia nine days in advance, says Remi Lam, a staff research scientist at Google DeepMind. Traditional weather forecasting models pinpointed the hurricane to Nova Scotia only six days in advance.

[…] Traditionally, meteorologists use massive computer simulations to make weather predictions. They are very energy intensive and time consuming to run, because the simulations take into account many physics-based equations and different weather variables such as temperature, precipitation, pressure, wind, humidity, and cloudiness, one by one. GraphCast uses machine learning to do these calculations in under a minute. Instead of using the physics-based equations, it bases its predictions on four decades of historical weather data. GraphCast uses graph neural networks, which map Earth’s surface into more than a million grid points. At each grid point, the model predicts the temperature, wind speed and direction, and mean sea-level pressure, as well as other conditions like humidity. The neural network is then able to find patterns and draw conclusions about what will happen next for each of these data points.

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Source: Slashdot – Google DeepMind’s Weather AI Can Forecast Extreme Weather Faster and More Accurately

Nothing Phone 2 owners get blue bubbles now. The company shared it has added iMessage to its newest phone through a new “Nothing Chats” app powered by the messaging platform Sunbird. From a report: The feature will be available to users in North America, the EU, and other European countries starting this Friday, November 17th. Nothing writes on its page that it’s doing this because “messaging services are dividing phone users,” and it wants “to break those barriers down.” But doing so here requires you to trust Sunbird. Nothing’s FAQ says Sunbird’s “architecture provides a system to deliver a message from one user to another without ever storing it at any point in its journey,” and that messages aren’t stored on its servers.

Marques Brownlee has also had a preview of Nothing Chats. He confirmed with Nothing that, similar to how other iMessage-to-Android bridge services have worked before, “…it’s literally signing in on some Mac Mini in a server farm somewhere, and that Mac Mini will then do all of the routing for you to make this happen.” Nothing’s US head of PR, Jane Nho, told The Verge in an email that Sunbird stores user iCloud credentials as a token “in an encrypted database” and associated with one of its Mac Minis in the US or Europe, depending on the user’s location, that then act as a relay for iMessages sent via the app. She added that, after two weeks of inactivity, Sunbird deletes the account information.

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Source: Slashdot – Nothing is Bringing iMessage To Its Android Phone